Modelling of dynamics of mechanical systems with regard for constraint stabilization

Size: px
Start display at page:

Download "Modelling of dynamics of mechanical systems with regard for constraint stabilization"

Transcription

1 IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Modelling of dnamics of mechanical sstems with regard for constraint stabilization o cite this article: R G Muharlamov 018 IOP Conf. Ser.: Mater. Sci. Eng View the article online for updates and enhancements. his content was downloaded from IP address on 31/1/018 at 19:57

2 Fundamental and Applied Problems of Mechanics IOP Conf. Series: Materials Science and Engineering 468 (018) doi: / x/468/1/01041 Modelling of dnamics of mechanical sstems with regard for constraint stabilization R G Muharlamov Institute of Phsical Research and echnologies RUDN Universit Moscow Russia robgar@mail.ru Abstract. he main purpose of dnamical processes modelling is to formulate the motion equations of the sstem with regard for active forces and constraints restricted its movement. Desirable properties of sstem's motion which are provided b the influence of additional forces and b the variation of inertial sstem's properties can be specified b the constraint equations. Niola Zhuovsi studied two main problems on constructing motion equations: defining the force function that determines a set of motion trajectories and analsing its stabilit. he representation of constraint equations as partial integrals of motion equations allows to provide an asmptotic stabilit of the corresponding integral manifold and to solve the problem of constraint stabilization at numerical solution of dnamics equations. 1. Introduction he basis of the mathematical model of mechanical sstem s dnamics is the sstem of motion equations. If the set of constraint equations allows to uniquel represent the inematic state of a sstem using generalized coordinates and velocities then the sstem s behavior is determined with some particular level of accurac that depends on applicable methods. Lagrange multipliers can be applied for accounting the constraint influence in the case of impossibilit of generalized coordinates and velocities introduction. At the same time constraint reactions can be considered as control forces providing the realization of constraint equations. he problem of defining additional control forces which allow the motion of a mechanical sstem to have appropriate properties is related to the inverse dnamical problems [1]. So based on the properties of planetar motion sir Isaa Newton [] established the form of the gravit force and later it was discovered [3] that the motion of a material point on a conic section is the effect of a central force depending on the point's position [4] [5]. he problem of determining a force function corresponding to a holonomic sstem with given integrals was considered b Gavriil Suslov [6]. Also Niola Zhuovsi established the method of determining a force function based on a given set of trajectories of a material point on a curved surface and gave a solution to the problem of motion strength of a representation point [8] using indicators of the inetic energ sstem's force function. General Lapunov's theor of motion stabilit [9] allowed to formulate the stabilit criteria of a bunch of trajectories [10] and to develop some new methods of constructing the sstems of differential equations having a given stable integral manifold [11]. Determining the Lagrange multipliers constraint equations are usuall considered as the first integrals of motion equations so that the initial data corresponds to them. Deviations of initial data and an application of some approimation methods cause the disruption of constraint equations. he problem Content from this wor ma be used under the terms of the Creative Commons Attribution 3.0 licence. An further distribution of this wor must maintain attribution to the author(s) and the title of the wor journal citation and DOI. Published under licence b Ltd 1

3 Fundamental and Applied Problems of Mechanics IOP Conf. Series: Materials Science and Engineering 468 (018) doi: / x/468/1/01041 of a constraint stabilization was firstl mentioned b Joachim Baumgarte in his paper [1].An asmptotic stabilit of corresponding to the constraint equations integral manifold of a sstem of dnamics equations is a necessar condition for solving this problem. he solution of this problem can be obtained b introducing additional forces or b changing the inertial properties of a sstem [13] [14]. he problem of a constraint stabilization leads to the problem of constructing the sstem of differential equations admitting constraint equations as partial integrals and defining asmptotic stable invariant set [16] or integral manifold [17] of this sstem. It is quite possible to construct a sstem of motion equations with required accurac [18] of constraints deviations using a general approach of solving inverse dnamical problems. Some relevant dnamical analogies allow us to appl methods and equations of classical mechanics to solve problems of modeling and dnamical control of sstems of different nature.. Problem statement Let the state of a mechanical sstem be determined b generalized coordinates 1... n q q velocities 1... n i i v v v dq / v i 1... n Lagrange function L L t q q v and non-potential generalized forces interacting with a mechanical sstem Q Q Q Q Q t... 1 n i i q v. Let s consider that the sstem has both holonomic and nonholonomic constraints t 0 f 1 m f... f (1) f q m f q v t 0 1 s f... f f s n. () So the problem is to determine dnamical equations of this mechanical sstem that provide the constraint stabilization during the numerical integration. 3. Dnamical equations of an etended sstem n1 nm Let s introduce new variables: q n m 1 n s ( q... q ) q ( q... q n1 nm ) v ( v... v ) n m 1 n s v ( v... v n1 ) v v ns (... v ) such as q f q t 0 (3) v g q v t 0 (4) g g g f f g v g f. q t he sstem of equations that defines the virtual displacements can be constructed based on the equation (4) and it taes form g G q v G v. (5) A vector of virtual displacements q can be defined due to the sstem (5) considering the vector v to be arbitrar. If the columns of the matri G are linear independent then the solution of the sstem (5) q q q n consists of a general solution q l GC of the homogeneous equation and a partial solution q n G + v of the nonhomogeneous equation q l GC G v. (6) Here l is an arbitrar scalar value GC is a cross product of the vectors g 1... g n g 1... s composing the columns of the matri G and arbitrar vectors c 1... c n s 1... n 1 G G GG 1. c

4 Fundamental and Applied Problems of Mechanics IOP Conf. Series: Materials Science and Engineering 468 (018) doi: / x/468/1/01041 q v are non- Let s consider that L Lq v t is a Lagrange function Q Q... 1 Qn Qi Qi t potential generalized forces interacting with a mechanical sstem R R... 1 Rn i of the vector of constraint reaction. Let s define the functions L L q v q v t D D q v q v t that satisf the following conditions: L q v00 t L q v t D q v 0 0 t 0 and D q v q v t D q v 0 if q v D00 0. If R R R are components and do not go to zero simultaneousl and R... 1 n R i are components of the vector of constraint reaction then D Alembert s principle for the etended sstem with the Lagrange function L taes form Εq v Q R 0 (7) D Εq v 0 (8) v d L L q v q q q. v q We can define the sum of elementar wors b scalar multipling equations (7) and (8) b q and v correspondingl D Εq v Q R q Εq v v 0 (9) v then we can rewrite it with regard for (6): D Εq v Q R GCl Εq v Q R G Εq v v 0. (10) v he equalit (10) can be accomplished onl if the following conditions are satisfied Ε q v Q R GC 0 (11) D Εq v Q R G Εq v (1) v Let s choose the vector R so that the elementar wor of constraint reactions due to the displacements q will be equal to zero: R GC 0. his fact denotes the correspondence to the ideal constraints of the initial sstem λ... 1 s. From the identit (11) follows the equation describing the variation of generalized coordinates of the sstem. Identit (1) can be reduced to the equation of the constraints perturbations and as a result with regard for inematic equations identities (3) (4) and initial conditions we can obtain the following sstem of differentialalgebraic equations for q v q v λ : dq d L L v Q G λ (13) v q dq d L L D v (14) v q v q f q t q q q v gq v t (15) q t 0 q 0 q t0 f q0 t0 qt0 q 0 v t 0 v 0 v t0 g q0 v0 t0. (16) It is necessar to complete the right sides of differential equations (13) (14) to solve the sstems (13) (16). he values of the forces of constraint reactions are determined b defining the multipliers λ that ensure the equalities (15). If we assume that the values of the deviations from the solution of the sstem (13) (14) are defined with the help of etra variables q v then the solution q 0 v 0 of this R G λ 3

5 Fundamental and Applied Problems of Mechanics IOP Conf. Series: Materials Science and Engineering 468 (018) doi: / x/468/1/01041 sstem corresponds to the constraint equations and its stabilit depends on the choice of the Lagrange function L and dissipative function D.Let s consider that functions L and D tae form L P v Aq v v A q qv P q H qq D v Bqq v (17) Hq 0 H q. 0 0 he values of λ are determined from the equations (13) (15): 1 1 λ M q v t h q v t M GA qg 1 L da q q 1 daq L g g h A q q v Bq q v GA q v v q q q t q f q t v g q v t. Dnamical equations (13) with regard for the values L q v λ as functions of the variables q vt are reduced to the following sstem of differential equations: dq dv v 1 L da q A q v Qq v t G q v tλq v t (18) q L L q v f q t g q v t t that has the partial integrals: f q t 0 g q v t 0. (19) 4. Stabilit of integral manifold he constraint (1) () stabilization requires the asmptotic stabilit of an integral manifold of the sstem (18) given b the equalities (19). his stabilit of an integral manifold can be defined with the help of the following terms. An integral manifold of the sstem (18) given b the equalities (19) is stable if for an 0 there eists such 0 t v v t of the sstem corresponding to the initial so the solution q q conditions qt0 q 0 vt0 v 0 : f q 0t inequalities f q t t gqt v t t. g q v t for all t t0 will satisf the An integral manifold of the sstem (18) given b the equalities (19) is asmptoticall stable if it is stable and the following conditions are satisfied: f q t t lim 0 t lim g q t v t t 0. It is obvious that the stabilit of an integral manifold is determined b the corresponding stabilit of the trivial solution qt 0 v t 0 of the sstem of the perturbation constraint equations (14). With the regard for values of L D (17) the sstem (14) can be written in the form: dq dv 1 A q q v S q qq K q q v A q q v v q 1 1 da q q S q q A q qh q K q q A q q Bq q S q q K q q in a series in powers of q : or after epanding the matrices and S q t 0 K q0 S q q S q q S K q q K q q K q q 0 0 4

6 Fundamental and Applied Problems of Mechanics IOP Conf. Series: Materials Science and Engineering 468 (018) doi: / x/468/1/01041 it can tae the following form: dq dv v S q q K q v V (0) Sq S q0 K K q0 S q0 K q0 1 A qq V. q S q q K v A q q v v q q q Let s introduce the following notation: 0 E q v 0 W q Y -Sq -K q V and rewrite the sstem (0) in an abbreviated form: d. W q Y (1) If all of the roots of the characteristic polnomial of the matri W q at all of the possible values of the generalized coordinates q... 1 qn at their domain q have negative real parts then a trivial solution of the equation with primar approimation: d W q is asmptotic stable. he problem the holonomic constraint stabilization is studied in the paper [1] using the equations of perturbed constraints with the constant matri 0 E W. E E W W q v determined with An algorithm of solving the problem of stabilization with the matri the help of the matri G and its derivative is established in the paper [19]. In general the method of Lapunov s function is applied [11] to define the sufficient conditions of the stabilit of a trivial solution (1). If the constraints are scleronomic f q 0 gq v 0 then we can tae as a Lapunov s function a positive definite quadratic form with the constraint matri with coefficients V U. If the derivative of this function dv 3 UW q Y is negative definite then the trivial solution 0 of the equation (1) is asmptotic stable. 5. Numerical solution If the perturbation constraint equations have asmptotic stable trivial solution then we can limit our choice with the simplest numerical methods of solving the dnamical equations (18). So the application of the finite-difference scheme X 1 t t 1 t t 0 0 q v X v t F q v 1 L daq Fq v t A q v Qq v t G q v tλ q v t q with regard for (1) leads to the inequalit 5

7 Fundamental and Applied Problems of Mechanics IOP Conf. Series: Materials Science and Engineering 468 (018) doi: / x/468/1/01041 where 1 E W is a reminder. From inequalit (3) follows the estimation 1 if for all N the following conditions: E W 1 1 If solving equations (18) we use the finite difference scheme 1 1 ˆ X X X ˆ X t X N where const and for all N the following conditions are satisfied are satisfied. 1 dw Imr W W 1 then we have the estimation 1. he conditions of the constraint stabilization were obtained b the Runge-Kutta method in the paper [1]. 6. Eample Our goal is to determine the law of the variation of the force F providing the stable motion of the rocet on the trajector f 0. he rocet is considered as a material point that has coordinates and velocities d d q v v v v v and it interacts with the force of gravit mg directed verticall downwards. he deviation of the point from its trajector and its derivative are denoted as f f q f v v v. () Let s introduce Lagrange and dissipative functions L mv mg v cq D v (3) v c g const. v v From the equalities () follows the equation: f f v that determines virtual displacements of a point depending on the arbitrar values s and v : 1 f f f f f f f f s v s v. Using D'Alembert-Lagrange principle d L L d L L d L L D v 0 v v v q v let s construct the dnamical equations of the rocet d v d f d mv f mv mg and the perturbation constraint equations dq d v dv cq v. 1 (4) (5) 6

8 Fundamental and Applied Problems of Mechanics IOP Conf. Series: Materials Science and Engineering 468 (018) doi: / x/468/1/01041 Let s introduce as a velocit of a particle separation from the rocet and considering the equalit d d v m m dm v v v we can rewrite (4) in the following form: d v dv f m d v dv f m mg (6) v v v dm v v v dm. Right parts of the equations (6) contain the traction force motion trajector and the constraint reaction R f / f / directed along the tangent to the directed along the normal. hese two forces form the unnown force F. From the equations () (5) (6) we can determine the Lagrange multipliers m f f f f f f 1 f f dm v vv v cf v v g v v (7) N N v v f f N. he motion on the trajector will be asmptotic stable if the roots the characteristic equation of the sstem (5) c 0 have negative real parts. Numerical solution of the sstem (6) (7) t v v will satisf the equalit 1 v v 1 1 f 1 m q f v v 1 mg m for all K if the conditions q0 E W 1 are satisfied where W is a matri of the coefficients of the sstem (5) q f epansion. reminder of the function s 7. Conclusions he methods of solving inverse dnamical problems and the conditions of the stabilit of a set of trajectories based on the Zhuovsi s papers allow us to develop an algorithm od solving dnamical problems of mechanical sstems and problems of dnamical processes control in the sstems with different nature. his wor is supported b RFBR project А. Reference [1] Galiullin A S 1986 Methods of solving inverse dnamical problems (Moscow: Naua) [] Newton I 1989 Philosophiæ Naturalis Principia Mathematica. ranslation from Latin b A.N. Krlov (Moscow: Naua) [3] Bertrand M G 1873 Compterendus 77 pp [4] Imshenetsi V G 1879 Bulletin of Kharov Mathematical Societ pp 1 11 [5] Darbou M G 1877 Compterendus 84 pp [6] Suslov G K 1890 On force function with given integrals (Kiew: Kiew Universit) is a 7

9 Fundamental and Applied Problems of Mechanics IOP Conf. Series: Materials Science and Engineering 468 (018) doi: / x/468/1/01041 [7] Zhuovsi N E 1937 Collection of Papers 1 pp [8] Zhuovsi N E 1937 Collection of Papers 1 pp [9] Lapunov A M 1956 General problem of motion stabilit (Collection of papers vol ) (Moscow: Academ of Science USSR) [10] Zubov VI 1957 Methods of A.M. Lapunov and its application (Leningrad: LSU) [11] Muharlamov R G 1969 Differential Equations 5 pp [1] Baumgarte J 197 Comp. Math. Appl. Mech. Eng 1 pp 1 16 [13] Kozlov V V 015 Regul. Chaot. Dn.0 pp 05 4 [14] Kozlov V V 015 Regul. Chaot. Dn.0 pp [15] Erugin N P 1979 Boo for reading of general course of differential equations (Mins: Nauaiehnia) [16] Levi-Chivita and Amaldi U 195 Course of theoretical mechanics II (Moscow: IL) [17] Muharlamov R G 1971 Differential Equations 7 pp [18] Muharlamov R G 006 Applied Mathematics and Mechanics 70 pp [19] Ascher U M Chin H Petzold L R and Reich S 1995 Mechanics of Structures and Machines 3 pp [0] Muharlamov R G 015 Izvestia RAN 15 8 [1] Muharlamov R G and Assae W B 013 Bulletin of Peoples' Friendship Universit of Russia. Series: Mathematics Informatics and Phsics 3 pp

COMPUTATIONAL METHODS AND ALGORITHMS Vol. I - Numerical Methods for Ordinary Differential Equations and Dynamic Systems - E.A.

COMPUTATIONAL METHODS AND ALGORITHMS Vol. I - Numerical Methods for Ordinary Differential Equations and Dynamic Systems - E.A. COMPUTATIOAL METHODS AD ALGORITHMS Vol. I umerical Methods for Ordinar Differential Equations and Dnamic Sstems E.A. oviov UMERICAL METHODS FOR ORDIARY DIFFERETIAL EQUATIOS AD DYAMIC SYSTEMS E.A. oviov

More information

1.1 The Equations of Motion

1.1 The Equations of Motion 1.1 The Equations of Motion In Book I, balance of forces and moments acting on an component was enforced in order to ensure that the component was in equilibrium. Here, allowance is made for stresses which

More information

06. Lagrangian Mechanics II

06. Lagrangian Mechanics II University of Rhode Island DigitalCommons@URI Classical Dynamics Physics Course Materials 2015 06. Lagrangian Mechanics II Gerhard Müller University of Rhode Island, gmuller@uri.edu Creative Commons License

More information

Research concerning the evaluation of the connection forces in the joints of the sucker rod pumping units mechanism

Research concerning the evaluation of the connection forces in the joints of the sucker rod pumping units mechanism IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Research concerning the evaluation of the connection forces in the oints of the sucker rod pumping units mechanism To cite this

More information

MMJ1153 COMPUTATIONAL METHOD IN SOLID MECHANICS PRELIMINARIES TO FEM

MMJ1153 COMPUTATIONAL METHOD IN SOLID MECHANICS PRELIMINARIES TO FEM B Course Content: A INTRODUCTION AND OVERVIEW Numerical method and Computer-Aided Engineering; Phsical problems; Mathematical models; Finite element method;. B Elements and nodes, natural coordinates,

More information

Nonlinear Systems Examples Sheet: Solutions

Nonlinear Systems Examples Sheet: Solutions Nonlinear Sstems Eamples Sheet: Solutions Mark Cannon, Michaelmas Term 7 Equilibrium points. (a). Solving ẋ =sin 4 3 =for gives =as an equilibrium point. This is the onl equilibrium because there is onl

More information

10 Back to planar nonlinear systems

10 Back to planar nonlinear systems 10 Back to planar nonlinear sstems 10.1 Near the equilibria Recall that I started talking about the Lotka Volterra model as a motivation to stud sstems of two first order autonomous equations of the form

More information

(4p) See Theorem on pages in the course book. 3. Consider the following system of ODE: z 2. n j 1

(4p) See Theorem on pages in the course book. 3. Consider the following system of ODE: z 2. n j 1 MATEMATIK Datum -8- Tid eftermiddag GU, Chalmers Hjälpmedel inga A.Heintz Telefonvakt Aleei Heintz Tel. 76-786. Tenta i ODE och matematisk modellering, MMG, MVE6 Answer rst those questions that look simpler,

More information

Get Solution of These Packages & Learn by Video Tutorials on SHORT REVISION

Get Solution of These Packages & Learn by Video Tutorials on   SHORT REVISION FREE Download Stu Pacage from website: www.teoclasses.com & www.mathsbsuhag.com Get Solution of These Pacages & Learn b Video Tutorials on www.mathsbsuhag.com SHORT REVISION DIFFERENTIAL EQUATIONS OF FIRST

More information

Second-Order Linear Differential Equations C 2

Second-Order Linear Differential Equations C 2 C8 APPENDIX C Additional Topics in Differential Equations APPENDIX C. Second-Order Homogeneous Linear Equations Second-Order Linear Differential Equations Higher-Order Linear Differential Equations Application

More information

Get Solution of These Packages & Learn by Video Tutorials on Matrices

Get Solution of These Packages & Learn by Video Tutorials on  Matrices FEE Download Stud Package from website: wwwtekoclassescom & wwwmathsbsuhagcom Get Solution of These Packages & Learn b Video Tutorials on wwwmathsbsuhagcom Matrices An rectangular arrangement of numbers

More information

Magnetic field generated by current filaments

Magnetic field generated by current filaments Journal of Phsics: Conference Series OPEN ACCESS Magnetic fiel generate b current filaments To cite this article: Y Kimura 2014 J. Phs.: Conf. Ser. 544 012004 View the article online for upates an enhancements.

More information

KEY IDEAS. Chapter 1 Function Transformations. 1.1 Horizontal and Vertical Translations Pre-Calculus 12 Student Workbook MHR 1

KEY IDEAS. Chapter 1 Function Transformations. 1.1 Horizontal and Vertical Translations Pre-Calculus 12 Student Workbook MHR 1 Chapter Function Transformations. Horizontal and Vertical Translations A translation can move the graph of a function up or down (vertical translation) and right or left (horizontal translation). A translation

More information

On the Spectral Theory of Operator Pencils in a Hilbert Space

On the Spectral Theory of Operator Pencils in a Hilbert Space Journal of Nonlinear Mathematical Phsics ISSN: 1402-9251 Print 1776-0852 Online Journal homepage: http://www.tandfonline.com/loi/tnmp20 On the Spectral Theor of Operator Pencils in a Hilbert Space Roman

More information

Advanced Dynamics. - Lecture 1 Constraints. Paolo Tiso Spring Semester 2017 ETH Zürich

Advanced Dynamics. - Lecture 1 Constraints. Paolo Tiso Spring Semester 2017 ETH Zürich Advanced Dnamics - Lecture 1 Constraints Paolo Tiso Spring Semester 2017 ETH Zürich LECTURE OBJECTIVES 1. Introduce generalized coordinates 2. Formall introduce constraints 3. Distinguish between holonomic

More information

VISION TRACKING PREDICTION

VISION TRACKING PREDICTION VISION RACKING PREDICION Eri Cuevas,2, Daniel Zaldivar,2, and Raul Rojas Institut für Informati, Freie Universität Berlin, ausstr 9, D-495 Berlin, German el 0049-30-83852485 2 División de Electrónica Computación,

More information

Stability Analysis for Linear Systems under State Constraints

Stability Analysis for Linear Systems under State Constraints Stabilit Analsis for Linear Sstems under State Constraints Haijun Fang Abstract This paper revisits the problem of stabilit analsis for linear sstems under state constraints New and less conservative sufficient

More information

Determination of Dynamic Characteristics of the Frame Bearing Structures of the Vibrating Separating Machines

Determination of Dynamic Characteristics of the Frame Bearing Structures of the Vibrating Separating Machines IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Determination of Dynamic Characteristics of the Frame Bearing Structures of the Vibrating Separating Machines To cite this article:

More information

VISUAL PHYSICS ONLINE KINEMATICS DESCRIBING MOTION

VISUAL PHYSICS ONLINE KINEMATICS DESCRIBING MOTION VISUAL PHYSICS ONLINE KINEMATICS DESCRIBING MOTION The language used to describe motion is called kinematics. Surprisingl, ver few words are needed to full the describe the motion of a Sstem. Warning:

More information

Using MatContM in the study of a nonlinear map in economics

Using MatContM in the study of a nonlinear map in economics Journal of Phsics: Conference Series PAPER OPEN ACCESS Using MatContM in the stud of a nonlinear map in economics To cite this article: Niels Neirnck et al 016 J. Phs.: Conf. Ser. 69 0101 Related content

More information

CONSERVATION LAWS AND CONSERVED QUANTITIES FOR LAMINAR RADIAL JETS WITH SWIRL

CONSERVATION LAWS AND CONSERVED QUANTITIES FOR LAMINAR RADIAL JETS WITH SWIRL Mathematical and Computational Applications,Vol. 15, No. 4, pp. 742-761, 21. c Association for Scientific Research CONSERVATION LAWS AND CONSERVED QUANTITIES FOR LAMINAR RADIAL JETS WITH SWIRL R. Naz 1,

More information

ON THE INTERPRETATION OF THE LAGRANGE MULTIPLIERS IN THE CONSTRAINT FORMULATION OF CONTACT PROBLEMS; OR WHY ARE SOME MULTIPLIERS ALWAYS ZERO?

ON THE INTERPRETATION OF THE LAGRANGE MULTIPLIERS IN THE CONSTRAINT FORMULATION OF CONTACT PROBLEMS; OR WHY ARE SOME MULTIPLIERS ALWAYS ZERO? Proceedings of the ASME 214 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference IDETC/CIE 214 August 17-2, 214, Buffalo, New York, USA DETC214-3479

More information

Chapter Adequacy of Solutions

Chapter Adequacy of Solutions Chapter 04.09 dequac of Solutions fter reading this chapter, ou should be able to: 1. know the difference between ill-conditioned and well-conditioned sstems of equations,. define the norm of a matri,

More information

Coupled vibration study of the blade of the flexible wind wheel with the low-speed shafting

Coupled vibration study of the blade of the flexible wind wheel with the low-speed shafting IOP Conference Series: Materials Science and Engineering OPEN ACCESS Coupled vibration study of the blade of the fleible wind wheel with the low-speed shafting To cite this article: L Y Su et al 013 IOP

More information

arxiv: v2 [physics.class-ph] 8 Mar 2014

arxiv: v2 [physics.class-ph] 8 Mar 2014 arxiv:142.518v2 [phsics.class-ph] 8 Mar 214 Solutions of the Wheeler-Fenman equations with discontinuous velocities Daniel Câmara de Souza 1, a) 2, b) and Jame De Luca 1) Universidade de São Paulo Instituto

More information

CHAPTER 3 Applications of Differentiation

CHAPTER 3 Applications of Differentiation CHAPTER Applications of Differentiation Section. Etrema on an Interval................... 0 Section. Rolle s Theorem and the Mean Value Theorem...... 0 Section. Increasing and Decreasing Functions and

More information

4 Inverse function theorem

4 Inverse function theorem Tel Aviv Universit, 2013/14 Analsis-III,IV 53 4 Inverse function theorem 4a What is the problem................ 53 4b Simple observations before the theorem..... 54 4c The theorem.....................

More information

Mathematical aspects of mechanical systems eigentones

Mathematical aspects of mechanical systems eigentones Seminar: Vibrations and Structure-Borne Sound in Civil Engineering Theor and Applications Mathematical aspects of mechanical sstems eigentones Andre Kuzmin April st 6 Abstract Computational methods of

More information

Solitary Wave Solutions of KP equation, Cylindrical KP Equation and Spherical KP Equation

Solitary Wave Solutions of KP equation, Cylindrical KP Equation and Spherical KP Equation Commun. Theor. Phs. 67 (017) 07 11 Vol. 67 No. Februar 1 017 Solitar Wave Solutions of KP equation Clindrical KP Equation and Spherical KP Equation Xiang-Zheng Li ( 李向正 ) 1 Jin-Liang Zhang ( 张金良 ) 1 and

More information

NONLINEAR DYNAMICS AND CHAOS. Numerical integration. Stability analysis

NONLINEAR DYNAMICS AND CHAOS. Numerical integration. Stability analysis LECTURE 3: FLOWS NONLINEAR DYNAMICS AND CHAOS Patrick E McSharr Sstems Analsis, Modelling & Prediction Group www.eng.o.ac.uk/samp patrick@mcsharr.net Tel: +44 83 74 Numerical integration Stabilit analsis

More information

Additional Topics in Differential Equations

Additional Topics in Differential Equations 0537_cop6.qd 0/8/08 :6 PM Page 3 6 Additional Topics in Differential Equations In Chapter 6, ou studied differential equations. In this chapter, ou will learn additional techniques for solving differential

More information

Additional Topics in Differential Equations

Additional Topics in Differential Equations 6 Additional Topics in Differential Equations 6. Eact First-Order Equations 6. Second-Order Homogeneous Linear Equations 6.3 Second-Order Nonhomogeneous Linear Equations 6.4 Series Solutions of Differential

More information

Transformation of kinematical quantities from rotating into static coordinate system

Transformation of kinematical quantities from rotating into static coordinate system Transformation of kinematical quantities from rotating into static coordinate sstem Dimitar G Stoanov Facult of Engineering and Pedagog in Sliven, Technical Universit of Sofia 59, Bourgasko Shaussee Blvd,

More information

Mathematical Modeling Vibration Protection. System for the Motor of the Boat

Mathematical Modeling Vibration Protection. System for the Motor of the Boat Applied Mathematical Sciences, Vol. 9, 05, no. 9, 595-5960 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/0.988/ams.05.5857 Mathematical Modeling Vibration Protection Sstem for the Motor of the Boat Sergei

More information

Introduction to Differential Equations. National Chiao Tung University Chun-Jen Tsai 9/14/2011

Introduction to Differential Equations. National Chiao Tung University Chun-Jen Tsai 9/14/2011 Introduction to Differential Equations National Chiao Tung Universit Chun-Jen Tsai 9/14/011 Differential Equations Definition: An equation containing the derivatives of one or more dependent variables,

More information

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures AB = BA = I,

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures AB = BA = I, FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING Lectures MODULE 7 MATRICES II Inverse of a matri Sstems of linear equations Solution of sets of linear equations elimination methods 4

More information

UNCORRECTED SAMPLE PAGES. 3Quadratics. Chapter 3. Objectives

UNCORRECTED SAMPLE PAGES. 3Quadratics. Chapter 3. Objectives Chapter 3 3Quadratics Objectives To recognise and sketch the graphs of quadratic polnomials. To find the ke features of the graph of a quadratic polnomial: ais intercepts, turning point and ais of smmetr.

More information

Section B. Ordinary Differential Equations & its Applications Maths II

Section B. Ordinary Differential Equations & its Applications Maths II Section B Ordinar Differential Equations & its Applications Maths II Basic Concepts and Ideas: A differential equation (D.E.) is an equation involving an unknown function (or dependent variable) of one

More information

Stability of Equilibrium Positions of Mechanical Systems with Switched Force Fields

Stability of Equilibrium Positions of Mechanical Systems with Switched Force Fields SCIETIFIC PUBLICATIOS OF THE STATE UIVERSITY OF OVI PAZAR SER. A: APPL. MATH. IFORM. AD MECH. vol. 4, 2 2012, 35-39 Stability of Equilibrium Positions of Mechanical Systems with Switched Force Fields A.

More information

BASE VECTORS FOR SOLVING OF PARTIAL DIFFERENTIAL EQUATIONS

BASE VECTORS FOR SOLVING OF PARTIAL DIFFERENTIAL EQUATIONS BASE VECTORS FOR SOLVING OF PARTIAL DIFFERENTIAL EQUATIONS J. Roubal, V. Havlena Department of Control Engineering, Facult of Electrical Engineering, Czech Technical Universit in Prague Abstract The distributed

More information

QUALITATIVE ANALYSIS OF DIFFERENTIAL EQUATIONS

QUALITATIVE ANALYSIS OF DIFFERENTIAL EQUATIONS arxiv:1803.0591v1 [math.gm] QUALITATIVE ANALYSIS OF DIFFERENTIAL EQUATIONS Aleander Panfilov stable spiral det A 6 3 5 4 non stable spiral D=0 stable node center non stable node saddle 1 tr A QUALITATIVE

More information

UC San Francisco UC San Francisco Previously Published Works

UC San Francisco UC San Francisco Previously Published Works UC San Francisco UC San Francisco Previousl Published Works Title Radiative Corrections and Quantum Chaos. Permalink https://escholarship.org/uc/item/4jk9mg Journal PHYSICAL REVIEW LETTERS, 77(3) ISSN

More information

* τσ σκ. Supporting Text. A. Stability Analysis of System 2

* τσ σκ. Supporting Text. A. Stability Analysis of System 2 Supporting Tet A. Stabilit Analsis of Sstem In this Appendi, we stud the stabilit of the equilibria of sstem. If we redefine the sstem as, T when -, then there are at most three equilibria: E,, E κ -,,

More information

UNCORRECTED. To recognise the rules of a number of common algebraic relations: y = x 1 y 2 = x

UNCORRECTED. To recognise the rules of a number of common algebraic relations: y = x 1 y 2 = x 5A galler of graphs Objectives To recognise the rules of a number of common algebraic relations: = = = (rectangular hperbola) + = (circle). To be able to sketch the graphs of these relations. To be able

More information

CHAPTER 3 Applications of Differentiation

CHAPTER 3 Applications of Differentiation CHAPTER Applications of Differentiation Section. Etrema on an Interval.............. 0 Section. Rolle s Theorem and the Mean Value Theorem. 07 Section. Increasing and Decreasing Functions and the First

More information

THE HEATED LAMINAR VERTICAL JET IN A LIQUID WITH POWER-LAW TEMPERATURE DEPENDENCE OF DENSITY. V. A. Sharifulin.

THE HEATED LAMINAR VERTICAL JET IN A LIQUID WITH POWER-LAW TEMPERATURE DEPENDENCE OF DENSITY. V. A. Sharifulin. THE HEATED LAMINAR VERTICAL JET IN A LIQUID WITH POWER-LAW TEMPERATURE DEPENDENCE OF DENSITY 1. Introduction V. A. Sharifulin Perm State Technical Universit, Perm, Russia e-mail: sharifulin@perm.ru Water

More information

Part of the advantage : Constraint forces do no virtual. work under a set of virtual displacements compatible

Part of the advantage : Constraint forces do no virtual. work under a set of virtual displacements compatible FORCES OF CONSTRAINT Lagrangian formalism : Generalized coordinate Minimum set of Eqns Part of the advantage : Constraint forces do no virtual work under a set of virtual displacements compatible with

More information

Perturbation Theory for Variational Inference

Perturbation Theory for Variational Inference Perturbation heor for Variational Inference Manfred Opper U Berlin Marco Fraccaro echnical Universit of Denmark Ulrich Paquet Apple Ale Susemihl U Berlin Ole Winther echnical Universit of Denmark Abstract

More information

One of the most common applications of Calculus involves determining maximum or minimum values.

One of the most common applications of Calculus involves determining maximum or minimum values. 8 LESSON 5- MAX/MIN APPLICATIONS (OPTIMIZATION) One of the most common applications of Calculus involves determining maimum or minimum values. Procedure:. Choose variables and/or draw a labeled figure..

More information

Stability Analysis of Mathematical Model for New Hydraulic Bilateral Rolling Shear

Stability Analysis of Mathematical Model for New Hydraulic Bilateral Rolling Shear SJ nternational, Vol. 56 (06), SJ nternational, No. Vol. 56 (06), No., pp. 88 9 Stabilit Analsis of Mathematical Model for New Hdraulic Bilateral Rolling Shear QingXue HUANG, ) Jia L, ) HongZhou L, ) HeYong

More information

Optimal Motion Planning for Free-Flying Robots

Optimal Motion Planning for Free-Flying Robots Optimal Motion Planning for Free-Fling Robots R. Lampariello, S. Agrawal, G. Hiringer Institute of Robotics and Mechatronics Department of Mechanical Engineering German Aerospace Center (DLR) Universit

More information

RELATIONS AND FUNCTIONS through

RELATIONS AND FUNCTIONS through RELATIONS AND FUNCTIONS 11.1.2 through 11.1. Relations and Functions establish a correspondence between the input values (usuall ) and the output values (usuall ) according to the particular relation or

More information

m x n matrix with m rows and n columns is called an array of m.n real numbers

m x n matrix with m rows and n columns is called an array of m.n real numbers LINEAR ALGEBRA Matrices Linear Algebra Definitions m n matri with m rows and n columns is called an arra of mn real numbers The entr a a an A = a a an = ( a ij ) am am amn a ij denotes the element in the

More information

Integrable Hamiltonian systems generated by antisymmetric matrices

Integrable Hamiltonian systems generated by antisymmetric matrices Journal of Physics: Conference Series OPEN ACCESS Integrable Hamiltonian systems generated by antisymmetric matrices To cite this article: Alina Dobrogowska 013 J. Phys.: Conf. Ser. 474 01015 View the

More information

A NOTE ON THE DYNAMICS AROUND THE L 1,2 LAGRANGE POINTS OF THE EARTH MOON SYSTEM IN A COMPLETE SOLAR SYSTEM MODEL

A NOTE ON THE DYNAMICS AROUND THE L 1,2 LAGRANGE POINTS OF THE EARTH MOON SYSTEM IN A COMPLETE SOLAR SYSTEM MODEL IAA-AAS-DCoSS1-8-8 A NOTE ON THE DYNAMICS AROUND THE L 1,2 LAGRANGE POINTS OF THE EARTH MOON SYSTEM IN A COMPLETE SOLAR SYSTEM MODEL Lian Yijun, Gerard Góme, Josep J. Masdemont, Tang Guojian INTRODUCTION

More information

Fully Discrete Energy Stable High Order Finite Difference Methods for Hyperbolic Problems in Deforming Domains: An Initial Investigation

Fully Discrete Energy Stable High Order Finite Difference Methods for Hyperbolic Problems in Deforming Domains: An Initial Investigation Full Discrete Energ Stable High Order Finite Difference Methods for Hperbolic Problems in Deforming Domains: An Initial Investigation Samira Nikkar and Jan Nordström Abstract A time-dependent coordinate

More information

Handout for Adequacy of Solutions Chapter SET ONE The solution to Make a small change in the right hand side vector of the equations

Handout for Adequacy of Solutions Chapter SET ONE The solution to Make a small change in the right hand side vector of the equations Handout for dequac of Solutions Chapter 04.07 SET ONE The solution to 7.999 4 3.999 Make a small change in the right hand side vector of the equations 7.998 4.00 3.999 4.000 3.999 Make a small change in

More information

Math 214 Spring problem set (a) Consider these two first order equations. (I) dy dx = x + 1 dy

Math 214 Spring problem set (a) Consider these two first order equations. (I) dy dx = x + 1 dy Math 4 Spring 08 problem set. (a) Consider these two first order equations. (I) d d = + d (II) d = Below are four direction fields. Match the differential equations above to their direction fields. Provide

More information

Lagrange-d Alembert integrators for constrained systems in mechanics

Lagrange-d Alembert integrators for constrained systems in mechanics Lagrange-d Alembert integrators for constrained systems in mechanics Conference on Scientific Computing in honor of Ernst Hairer s 6th birthday, Geneva, Switzerland Laurent O. Jay Dept. of Mathematics,

More information

Two Limit Cycles in a Two-Species Reaction

Two Limit Cycles in a Two-Species Reaction Two Limit Ccles in a Two-Species Reaction Brigita Ferčec 1 Ilona Nag Valer Romanovski 3 Gábor Szederkéni 4 and János Tóth 5 The Facult of Energ Technolog Krško 1 Center for Applied Mathematics and Theoretical

More information

YARKOVSKY EFFECT IN GENERALIZED PHOTOGRAVITATIONAL 3-BODIES PROBLEM

YARKOVSKY EFFECT IN GENERALIZED PHOTOGRAVITATIONAL 3-BODIES PROBLEM ARKOVSK EFFECT IN GENERALIZED PHOTOGRAVITATIONAL -BODIES PROBLEM Serge V. Ershkov Institute for Time Nature Eplorations M.V. Lomonosov's Moscow State Universit Leninskie gor - Moscow 999 Russia e-mail:

More information

Optimization of radial matching section 1

Optimization of radial matching section 1 Optimization of radial matching section Aleander Ovsannikov Dmitri Ovsannikov Saint-Petersburg State Universit (SPbSU) St. Petersburg Russia Sheng-Luen Chung National Taiwan Universit of Science and Technolog

More information

ESMF Based Multiple UAVs Active Cooperative Observation Method in Relative Velocity Coordinates

ESMF Based Multiple UAVs Active Cooperative Observation Method in Relative Velocity Coordinates Joint 48th IEEE Conference on Decision and Control and 8th Chinese Control Conference Shanghai, P.R. China, December 6-8, 009 WeCIn5.4 ESMF Based Multiple UAVs Active Cooperative Observation Method in

More information

Broken Extremals. Variational Methods & Optimal Control lecture 20. Broken extremals. Broken extremals

Broken Extremals. Variational Methods & Optimal Control lecture 20. Broken extremals. Broken extremals Broken etremals Variational Methods & Optimal Control lecture 2 Matthew Roughan Discipline of Applied Mathematics School of Mathematical Sciences Universit of Adelaide

More information

Hidden oscillations in dynamical systems

Hidden oscillations in dynamical systems Hidden oscillations in dnamical sems G.A. LEONOV a, N.V. KUZNETSOV b,a, S.M. SELEDZHI a a St.Petersburg State Universit, Universitetsk pr. 28, St.Petersburg, 19854, RUSSIA b Universit of Jväsklä, P.O.

More information

PICONE S IDENTITY FOR A SYSTEM OF FIRST-ORDER NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS

PICONE S IDENTITY FOR A SYSTEM OF FIRST-ORDER NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS Electronic Journal of Differential Equations, Vol. 2013 (2013), No. 143, pp. 1 7. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu PICONE S IDENTITY

More information

Eigenvectors and Eigenvalues 1

Eigenvectors and Eigenvalues 1 Ma 2015 page 1 Eigenvectors and Eigenvalues 1 In this handout, we will eplore eigenvectors and eigenvalues. We will begin with an eploration, then provide some direct eplanation and worked eamples, and

More information

An improved ADI-DQM based on Bernstein polynomial for solving two-dimensional convection-diffusion equations

An improved ADI-DQM based on Bernstein polynomial for solving two-dimensional convection-diffusion equations Mathematical Theor and Modeling ISSN -50 (Paper) ISSN 5-05(Online) Vol 3, No.1, 013 An improved ADI-DQM based on Bernstein polnomial for solving two-dimensional convection-diffusion equations A.S.J. Al-

More information

Progress in Mathematics 313. Jaume Llibre Rafael Ramírez. Inverse Problems in Ordinary Differential Equations and Applications

Progress in Mathematics 313. Jaume Llibre Rafael Ramírez. Inverse Problems in Ordinary Differential Equations and Applications Progress in Mathematics 313 Jaume Llibre Rafael Ramírez Inverse Problems in Ordinary Differential Equations and Applications Progress in Mathematics Volume 313 Series Editors Hyman Bass, University of

More information

z = 1 2 x 3 4 y + 3 y dt

z = 1 2 x 3 4 y + 3 y dt Exact First Order Differential Equations This Lecture covers material in Section 2.6. A first order differential equations is exact if it can be written in the form M(x, ) + N(x, ) d dx = 0, where M =

More information

The Coupled Three-Body Problem and Ballistic Lunar Capture

The Coupled Three-Body Problem and Ballistic Lunar Capture The Coupled Three-Bod Problem and Ballistic Lunar Capture Shane Ross Martin Lo (JPL), Wang Sang Koon and Jerrold Marsden (Caltech) Control and Dnamical Sstems California Institute of Technolog Three Bod

More information

One-Dimensional Wave Propagation (without distortion or attenuation)

One-Dimensional Wave Propagation (without distortion or attenuation) Phsics 306: Waves Lecture 1 1//008 Phsics 306 Spring, 008 Waves and Optics Sllabus To get a good grade: Stud hard Come to class Email: satapal@phsics.gmu.edu Surve of waves One-Dimensional Wave Propagation

More information

THE DYNAMICS OF THE GRAVITATIONAL CAPTURE PROBLEM

THE DYNAMICS OF THE GRAVITATIONAL CAPTURE PROBLEM THE DYNAMICS OF THE GRAVITATIONAL CAPTURE PROBLEM Ernesto Vieira Neto Faculdade de Engenharia de Guaratinguetá - UNESP e-mail: ernesto@feg.unesp.br Antônio Fernando Bertachini de Almeida Prado Instituto

More information

10. The dimensional formula for c) 6% d) 7%

10. The dimensional formula for c) 6% d) 7% UNIT. One of the combinations from the fundamental phsical constants is hc G. The unit of this epression is a) kg b) m 3 c) s - d) m. If the error in the measurement of radius is %, then the error in the

More information

Foundations of Databases

Foundations of Databases Foundations of Databases (Slides adapted from Thomas Eiter, Leonid Libkin and Werner Nutt) Foundations of Databases 1 Quer optimization: finding a good wa to evaluate a quer Queries are declarative, and

More information

Transverse Linearization for Controlled Mechanical Systems with Several Passive Degrees of Freedom (Application to Orbital Stabilization)

Transverse Linearization for Controlled Mechanical Systems with Several Passive Degrees of Freedom (Application to Orbital Stabilization) Transverse Linearization for Controlled Mechanical Systems with Several Passive Degrees of Freedom (Application to Orbital Stabilization) Anton Shiriaev 1,2, Leonid Freidovich 1, Sergey Gusev 3 1 Department

More information

INTENSITY MOMENTS OF A LASER BEAM FORMED BY SUPERPOSITION OF HERMITE-GAUSSIAN MODES A. Ya. Bekshaev I. I. Mechnikov Odessa State University

INTENSITY MOMENTS OF A LASER BEAM FORMED BY SUPERPOSITION OF HERMITE-GAUSSIAN MODES A. Ya. Bekshaev I. I. Mechnikov Odessa State University INTENSITY MOMENTS OF A LASER BEAM FORMED BY SUPERPOSITION OF HERMITE-GAUSSIAN MODES A. Ya. Bekshaev I. I. Mechnikov Odessa State Universit SUMMARY Epressions are obtained for the Wigner function moments

More information

Precalculus Prerequisite Packet Paint Branch High School Math Department. Concepts To Be Assessed on the Precalculus Course Pre-assessment.

Precalculus Prerequisite Packet Paint Branch High School Math Department. Concepts To Be Assessed on the Precalculus Course Pre-assessment. Updated /01 The problems in this packet are designed to help ou review topics from previous math courses that are important to our success in Precalculus. It is important that ou take time during summer

More information

THE CONVERGENCE AND ORDER OF THE 3-POINT BLOCK EXTENDED BACKWARD DIFFERENTIATION FORMULA

THE CONVERGENCE AND ORDER OF THE 3-POINT BLOCK EXTENDED BACKWARD DIFFERENTIATION FORMULA VOL 7 NO DEEMBER ISSN 89-668 6- Asian Research Publishing Networ (ARPN) All rights reserved wwwarpnournalscom THE ONVERGENE AND ORDER OF THE -POINT BLOK EXTENDED BAKWARD DIFFERENTIATION FORMULA H Musa

More information

Free-surface potential flow of an ideal fluid due to a singular sink

Free-surface potential flow of an ideal fluid due to a singular sink Journal of Physics: Conference Series PAPER OPEN ACCESS Free-surface potential flow of an ideal fluid due to a singular sink To cite this article: A A Mestnikova and V N Starovoitov 216 J. Phys.: Conf.

More information

3 Polynomial and Rational Functions

3 Polynomial and Rational Functions 3 Polnomial and Rational Functions 3.1 Quadratic Functions and Models 3.2 Polnomial Functions and Their Graphs 3.3 Dividing Polnomials 3.4 Real Zeros of Polnomials 3.5 Comple Zeros and the Fundamental

More information

5. Nonholonomic constraint Mechanics of Manipulation

5. Nonholonomic constraint Mechanics of Manipulation 5. Nonholonomic constraint Mechanics of Manipulation Matt Mason matt.mason@cs.cmu.edu http://www.cs.cmu.edu/~mason Carnegie Mellon Lecture 5. Mechanics of Manipulation p.1 Lecture 5. Nonholonomic constraint.

More information

Physics Gravitational force. 2. Strong or color force. 3. Electroweak force

Physics Gravitational force. 2. Strong or color force. 3. Electroweak force Phsics 360 Notes on Griffths - pluses and minuses No tetbook is perfect, and Griffithsisnoeception. Themajorplusisthat it is prett readable. For minuses, see below. Much of what G sas about the del operator

More information

MULTIPLE MIXED-TYPE ATTRACTORS IN A COMPETITION MODEL. 1. Introduction

MULTIPLE MIXED-TYPE ATTRACTORS IN A COMPETITION MODEL. 1. Introduction MULTIPLE MIXED-TYPE ATTRACTORS IN A COMPETITION MODEL J. M. CUSHING, SHANDELLE M. HENSON, AND CHANTEL C. BLACKBURN Abstract. We show that a discrete time, two species competition model with Ricker (eponential)

More information

Initial Value Problems for. Ordinary Differential Equations

Initial Value Problems for. Ordinary Differential Equations Initial Value Problems for Ordinar Differential Equations INTRODUCTION Equations which are composed of an unnown function and its derivatives are called differential equations. It becomes an initial value

More information

1 Differential Equations for Solid Mechanics

1 Differential Equations for Solid Mechanics 1 Differential Eqations for Solid Mechanics Simple problems involving homogeneos stress states have been considered so far, wherein the stress is the same throghot the component nder std. An eception to

More information

Mathematics Extension 1

Mathematics Extension 1 013 HIGHER SCHL CERTIFICATE EXAMINATIN Mathematics Etension 1 General Instructions Reading time 5 minutes Working time hours Write using black or blue pen Black pen is preferred Board-approved calculators

More information

Ordinary Differential Equations n

Ordinary Differential Equations n Numerical Analsis MTH63 Ordinar Differential Equations Introduction Talor Series Euler Method Runge-Kutta Method Predictor Corrector Method Introduction Man problems in science and engineering when formulated

More information

A comparison of estimation accuracy by the use of KF, EKF & UKF filters

A comparison of estimation accuracy by the use of KF, EKF & UKF filters Computational Methods and Eperimental Measurements XIII 779 A comparison of estimation accurac b the use of KF EKF & UKF filters S. Konatowski & A. T. Pieniężn Department of Electronics Militar Universit

More information

Periodic orbits around the collinear libration points

Periodic orbits around the collinear libration points Available online at www.tjnsa.com J. Nonlinear Sci. Appl. XX, XX XX Research Article Periodic orbits around the collinear libration points Elbaz I. Abouelmagd a,b, Faris Alzahrani b, Aatef Hobin b, J.

More information

Free Surface Influence on Low Head Hydro Power Generation

Free Surface Influence on Low Head Hydro Power Generation IOP Conference Series: Earth and Environmental Science PAPER OPEN ACCESS Free Surface Influence on Low Head Hydro Power Generation To cite this article: Peter F. Pelz and Thibaud Froehlich 016 IOP Conf.

More information

HCC-SE MATH DEPT. 1 Revised Fall 2008

HCC-SE MATH DEPT. 1 Revised Fall 2008 FINAL EXAM REVIEW ITEMS Math : College Algebra Find the -intercepts and an -intercepts. ) f() = + 7-0 ) = Name ) Select the equation that describes the graph. Solve the equation and epress the solution

More information

On Quadratic Stochastic Operators Having Three Fixed Points

On Quadratic Stochastic Operators Having Three Fixed Points Journal of Physics: Conference Series PAPER OPEN ACCESS On Quadratic Stochastic Operators Having Three Fixed Points To cite this article: Mansoor Saburov and Nur Atikah Yusof 2016 J. Phys.: Conf. Ser.

More information

(2.5) 1. Solve the following compound inequality and graph the solution set.

(2.5) 1. Solve the following compound inequality and graph the solution set. Intermediate Algebra Practice Final Math 0 (7 th ed.) (Ch. -) (.5). Solve the following compound inequalit and graph the solution set. 0 and and > or or (.7). Solve the following absolute value inequalities.

More information

Local Phase Portrait of Nonlinear Systems Near Equilibria

Local Phase Portrait of Nonlinear Systems Near Equilibria Local Phase Portrait of Nonlinear Sstems Near Equilibria [1] Consider 1 = 6 1 1 3 1, = 3 1. ( ) (a) Find all equilibrium solutions of the sstem ( ). (b) For each equilibrium point, give the linear approimating

More information

Conformal invariance and conserved quantity of Mei symmetry for Appell equations in a nonholonomic system of Chetaev s type

Conformal invariance and conserved quantity of Mei symmetry for Appell equations in a nonholonomic system of Chetaev s type Nonlinear Dyn (2014) 77:521 527 DOI 10.1007/s11071-014-1314-4 ORIGINAL PAPER Conformal invariance and conserved quantity of Mei symmetry for Appell equations in a nonholonomic system of Chetaev s type

More information

Effective dynamics of many-particle systems with dynamical constraint

Effective dynamics of many-particle systems with dynamical constraint Michael Herrmann Effective dnamics of man-particle sstems with dnamical constraint joint work with Barbara Niethammer and Juan J.L. Velázquez Workshop From particle sstems to differential equations WIAS

More information

Unity Root Matrix Theory Physics in Integers Overview

Unity Root Matrix Theory Physics in Integers Overview Unit Root Matri Theor Phsics in Integers Overview Richard J Miller richard@microscitechcom http://wwwurmtorg Issue 11 9th Jul 11 Acronms Used DCE = Dnamical Conservation Equation URM = Unit Root Matri

More information

Numerical Simulation of Stochastic Differential Equations: Lecture 2, Part 1. Recap: SDE. Euler Maruyama. Lecture 2, Part 1: Euler Maruyama

Numerical Simulation of Stochastic Differential Equations: Lecture 2, Part 1. Recap: SDE. Euler Maruyama. Lecture 2, Part 1: Euler Maruyama Numerical Simulation of Stochastic Differential Equations: Lecture, Part 1 Des Higham Department of Mathematics Universit of Strathclde Lecture, Part 1: Euler Maruama Definition of Euler Maruama Method

More information

EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science. CASA-Report April 2016

EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science. CASA-Report April 2016 EINDHOVEN UNIVERSITY OF TECHNOLOGY Department of Mathematics and Computer Science CASA-Report 6-4 April 26 Discrete and continuum links to a nonlinear coupled transport problem of interacting populations

More information