Impulsive Control of a Mechanical Oscillator with Friction

Size: px
Start display at page:

Download "Impulsive Control of a Mechanical Oscillator with Friction"

Transcription

1 9 Aerican Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -, 9 ThC8. Ipulsive Control of a Mechanical Oscillator with Friction Yury Orlov, Raul Santiesteban, and Luis T. Aguilar Abstract Undesired dynaics (stic-slip otions, liit cycles, etc.) that appear in friction systes result in steadystate errors, liiting achievable perforance. To enhance the perforance a novel control approach counteracting friction effects is developed. The approach is based on an ipulsive actuation while the underlying syste is getting stuc due to the presence of dry friction. A spring-ass syste serves as a siple test bed. Asyptotic stabilization is achieved not only for the noinal odel but also for its perturbed version provided that external disturbances affecting the syste are of sufficiently sall agnitude. I. INTRODUCTION Friction is a highly nonlinear phenoenon, producing undesired stic-slip otions, thereby resulting in steady state errors. To reduce friction effects without resorting to high gain control loops suitable odeling is required for friction copensation []. Alternatively [5], [6], a secondorder sliding ode control algorith, robust to discrepancies of friction odeling, can be utilized. In this paper, we develop a novel control approach counteracting friction effects. The approach is based on an ipulsive actuation while the underlying syste is getting stuc due to the presence of dry friction. A spring-ass syste serves as a siple test bed. Stabilization of this syste is under study. In contrast to the afore-entioned friction copensation ethods and sliding ode approach, static position feedbac is constructed provided that the inforation is available on whether the syste is in steady state. Robustness against sall paraeter variations and external disturbances is additionally provided. II. PROBLEM STATEMENT The spring-ass syste (Figure ), affected by Coulob friction, is governed by the differential equation ẍ = x α sign(ẋ) + w + u () where x is the displaceent, ẋ is the velocity, > is the ass of the syste, α > is the Coulob friction level, > is the stiffness coefficient, u denotes the control input, and w stands for external disturbances. As equation () appears with discontinuous right-hand side, its eaning is defined in the sense of Filippov []. The wor was supported by CONACYT under grant nuber 459. Y. Orlov and R. Santiesteban are with CICESE Research Center, Electronics and Telecounication Departent, P.O. BOX 44944, San Ysidro, CA, , (e-ail: yorlov{rsanties}@cicese.x) L.T. Aguilar is with Centro de Investigación y Desarrollo de Tecnología Digital, Instituto Politécnico Nacional, Avenida del Parque Mesa de Otay, Tijuana 5 México (e-ail: luis.aguilar@ieee.org). The Coulob friction odel has been chosen for treatent. Although augenting with viscous friction is iportant fro practical standpoint, we preferred not to do so as such an extension would be rather technical. Instead, we preferred to facilitate exposition and to focus on essential features of the general treatent. x = Fig.. u Spring-ass syste. In order to account for odel discrepancies, an unnown external disturbance w(t) has been introduced into odeling. Throughout, the aplitude of the disturbance is assued to be saller than half the Coulob level α, i.e., w(t) α < α () for all t and soe constant α >. Assuption () is ade for a technical reason that becoes clear as far as the controller derivation goes. Being represented in the state space for, the above syste () is odified to ẋ = x ẋ = [ x α sign(x ) + w + u] () where x = x and x = ẋ. Since the unforced syste () is dissipative and its dissipation is lower bounded by the positive constant α α, syste () under u = is getting stuc in finite at the disturbance-dependent zone (see Figure ) S w S = {(x, x ) : x α + α, x = } IR. (4) Assuing that the syste is enforced by an ipulsive x /9/$5. 9 AACC 494

2 x III. CONTROLLER DESIGN Let the ipulsive controller (5) be specified with α x x v(x ) = sign(x ) (8) α+α α+α x and let it be applied to syste () at the instants t i, i =,,... such that x (t i ) α + α, x (t i ) =. (9) Fig.. Phase trajectories of the unforced spring-ass syste (). actuator u = v(x )δ(t t i ) (5) i= utilizing a continuous position feedbac v(x ) and being applied at soe state-dependent instants t i (x, x ), i =,,..., the closed-loop syste appears to exhibit discretecontinuous dynaics ẋ = x, ẋ = ( x α sign(x ) + w), t t i, (6) x (t i +) = x (t i ), x (t i +) = x (t i ) + v(x (t i )), i =,,.... (7) It is clear that dealing with the position feedbac v(x ) yields the above restitution rule (7) because the ipulsive input (5) results in the corresponding instantaneous change of the velocity while the position dynaics and, hence, the position feedbac v(x (t)) reain continuous in. It is worth noticing that applying a state feedbac v(x, x ) would ipose a certain nonlinear restitution rule, caused by an ill-posed product of the Dirac function δ(t τ), localized at a instant τ, and the function v(x (t), x (t)), discontinuous at t = τ (see, e.g., [4] for details on the nonlinear ipulse response). Our objective is to design an ipulsive controller (5) such that the closed-loop syste (7) is asyptotically stable around the origin, regardless of whichever external disturbance () affects the syste. The current position x (t) is assued to be available for easureent whereas the only available inforation on the velocity x (t) is the nowledge of whether it is nullified or it is not. 495 The dynaics of the closed-loop syste (5) (9) is then as follows. Once the underlying syste () hits the stuc zone (4), it is enforced by the ipulsive controller (5) that changes the velocity of the syste instantaneously (see Figure ). The controller aplitude (8) has been pre-specified in such a anner to bring the underlying syste () fro the stuc zone (4) to the phase trajectory that while being disturbancefree arrives at the origin without oscillations. It is shown that the asyptotic stabilization is thus achieved not only for the disturbance-free syste () with w = but also for its perturbed version provided that external disturbances affecting the syste eet the nor upper bound (). The following result is in order. Theore : Let the friction oscillator () be driven by the ipulsive controller (5), specified with (8), (9). Then the closed-loop syste (5) (9) is globally asyptotically stable provided that the nor upper bound () holds for the external disturbance affecting the syste. Proof: It has been entioned that while being unforced, syste () possesses a globally finite stable invariant anifold S w, localized according to (4) within the estiated stuc zone S. Once the closed-loop syste (5) (9) attains S, say at x (t ) = ξ such that ξ α+α, the ipulsive controller (5), (8), (9) is applied at the instant t. The restitution rule (7) is then specified as x (t ) = ξ, α ξ (ξ ) x (t +) = sign(ξ ). () If the closed-loop syste is disturbance-free, the state trajectory, re-initialized with (), would ono-directionally arrive at the origin in finite- (see Figure ). However, if an adissible disturbance () affects the closed-loop syste, the state trajectory would hit the stuc zone at x (t ) = ξ provided that x (t ) =. Our goal is to deonstrate that, even in the worstdisturbance case where w = α or w = α, the following inequality holds: ξ α α ξ. ()

3 x above relation yields x (t ) + (α α )x (t ) + α ξ =. (6) α+α Setting ξ = x (t ) and taing into account that the case where ξ < is under study, it follows that α+α x ξ = α α (α α) + + α ξ. (7) Substituting (7) into () for ξ, we arrive at the inequality Fig.. Phase portrait of the ipulsive closed-loop syste (5) (9): dotted lines are for jups of the velocity, solid lines are for the perturbed trajectories, and dashed line is for the unperturbed trajectory. α α + (α α) + α ξ α α ξ (8) to be verified. To validate (8) it suffices to represent it in the for Then by iteration on i, siilar relations ξ i+ α α ξ i, i =,,.... () could be obtained for the state positions ξ i = x (t i ) at the instants t i, i =,,... of reaching the stuc zone (4). Since q = α α < by assuption, it would follow that li x (t i ) = li q i ξ =, li x (t i +) = () i i i where the relations x (t i +) = α ξ i (ξ i) sign(ξ i ), i =,,..., siilar to (), have been taen into account. For the purpose of validating (), let us copute the value of ξ as a function of ξ, assuing, for certainty, that ξ <, and perforing siilar coputation, otherwise. In the case where w = α the syste dynaics between successive ipacts are governed by = x = ( x α + α ), t (t, t ). (4) Initialized with (), the solution to the perturbed syste (4) is given by ( x αx + α x ) = α ξ + x. (5) Being confined to the instant t when x (t ) =, the (α α) + α [ ξ α α ξ + α α ], (9) and to observe that (9) is equivalent to the inequality α ξ 4(α ) α ξ + 4α (α α ) ξ () α whose validation is reduced to the obvious inequality (α α ), () α resulted fro (). Thus, inequality () is verified in the case of w = α. It reains to verify inequality () in the case of w = with the syste dynaics between successive ipacts governed by = x = ( x α α ), t (t, t ). () The solution of the above syste, initialized with (), is given by ( x αx α x ) = α ξ + x. () Specified at the next ipact instant t when x (t ) =, relation () yields x (t ) + (α + α )x (t ) α ξ =. (4) 496

4 Setting ξ = x (t ), it follows that ξ = α + α + (α + α) α ξ (5) provided that the case where ξ < is under study. Substituting (5) into () for ξ, we arrive at the inequality α + α (α + α) α ξ α α ξ (6) Fig. 4. Throttle echanis (translational linear equivalent). to be verified. To validate (6) it suffices to represent it in the for [ α + α α ] α ξ (α + α) α ξ, (7) and to observe that (7) is equivalent to the inequality α ξ + 4(α ) α ξ 4α (α + α ) ξ. (8) α Since ξ is within the estiated stuc zone (4), i.e., ξ, the validation of (8) is reduced to the inequality α+α + α (α + α ) α (α + α ), (9) α straightforwardly resulted fro (). Thus, inequality () is verified in the case of w = α, too. This copletes the proof of the theore because as pointed out, inequality () leads to the global asyptotic stability of the the closed-loop syste (5) (9). IV. NUMERICAL RESULTS Perforance issues and robustness properties of the proposed ipulsive controller are additionally tested in nuerical experients. In the siulations, perfored with MAT- LAB, the diensionless spring-ass odel () is studied with the paraeters =, =, and α =. The initial position and the initial velocity are set to x () =.5 and x () =, respectively. The ipulsive controller (5), (8), (9) is first applied to the disturbance-free syste. In order to test the controller robustness a haronic external disturbance w =.7 sint is then applied to the closed-loop syste. Good perforance and desired robustness properties of the controller are concluded fro Figures 5 and 6. Alternative application of ipulsive control is in the throttle syste (Figure 4) which is governed by the differential equation (see []) where, if x x =, otherwise. () In the siulations, the paraeters x =, =, =, =, and α = were selected. The initial position and the initial velocity are set to x () = and x () =. Siulation results are provided in Figures 7 and 8 for the unperturbed and perturbed cases, respectively. V. CONCLUSIONS A novel approach, counteracting friction affects, is developed for and tested on a spring-ass syste. The approach is based on an ipulsive actuation while the underlying syste is getting stuc due to the presence of dry friction. Global asyptotic stability of the closed-loop syste and its robustness against external disturbances of sufficiently sall agnitude are carried out in the theoretical study. The effectiveness of the proposed approach is illustrated in nuerical siulations. The approach is expected to enhance control of echanical anipulators with relatively strong Coulob friction forces. REFERENCES [] A.F. Filippov, Differential equations with discontinuous right-hand sides. Dordrecht: Kluwer Acadeic Publisher, 988. [] H. Olsson, K. Astro, C. Canudas de Wit, M. Gafvert, and P. Lischinsy, Friction odels and friction copensation, Eur. J. Contr., vol. 4, pp , 988. [] C. Canudas de Wit, I. Kolanosvy and J. Sun, Adaptive pulse control of electronic throttle, Proc. of the Aerican Control,pp ,. [4] Y. Orlov, Instantaneous ipulse response of nonlinear systes, IEEE Trans. Auto. Ctrl., vol. 45, no. 5, pp. 999,. [5] Y. Orlov, Finite- stability and robust control synthesis of uncertain switched systes, SIAM Journal on Control and Optiization, vol. 4, pp. 5 7, 5. [6] Y. Orlov, Discontinuous Systes: Lyapunov Analysis and Robust Synthesis under Uncertainty Conditions. London: Springer, 8. ẍ = (x x ) α sign(ẋ) + u + w () 497

5 4 4 x x x x x 4 x x 4 x u u Fig. 5. Ipulsive stabilization of the spring-ass syste with Coulob friction: the no disturbance case. Fig. 6. Ipulsive stabilization of the spring-ass syste with Coulob friction: the disturbance case. 498

6 Fig. 7. Ipulsive stabilization of the electronic throttle syste with Coulob friction: the no disturbance case. Fig. 8. Ipulsive stabilization of the electronic throttle syste with Coulob friction: the disturbance case. 499

Reducing Vibration and Providing Robustness with Multi-Input Shapers

Reducing Vibration and Providing Robustness with Multi-Input Shapers 29 Aerican Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June -2, 29 WeA6.4 Reducing Vibration and Providing Robustness with Multi-Input Shapers Joshua Vaughan and Willia Singhose Abstract

More information

Friction Induced Hunting Limit Cycles: An Event Mapping Approach

Friction Induced Hunting Limit Cycles: An Event Mapping Approach Friction Induced Hunting Liit Cycles: An Event Mapping Approach Ron H.A. Hensen, Marinus (René) J.G. van de Molengraft Control Systes Technology Group, Departent of Mechanical Engineering, Eindhoven University

More information

Physically Based Modeling CS Notes Spring 1997 Particle Collision and Contact

Physically Based Modeling CS Notes Spring 1997 Particle Collision and Contact Physically Based Modeling CS 15-863 Notes Spring 1997 Particle Collision and Contact 1 Collisions with Springs Suppose we wanted to ipleent a particle siulator with a floor : a solid horizontal plane which

More information

HYBRID ADAPTIVE FRICTION COMPENSATION OF INDIRECT DRIVE TRAINS

HYBRID ADAPTIVE FRICTION COMPENSATION OF INDIRECT DRIVE TRAINS Proceedings of the ASME 29 Dynaic Systes and Control Conference DSCC29 October 12-14, 29, Hollywood, California, USA DSCC29-2736 HYBRID ADAPTIVE FRICTION COMPENSATION OF INDIRECT DRIVE TRAINS Wenjie Chen

More information

Nonlinear Stabilization of a Spherical Particle Trapped in an Optical Tweezer

Nonlinear Stabilization of a Spherical Particle Trapped in an Optical Tweezer Nonlinear Stabilization of a Spherical Particle Trapped in an Optical Tweezer Aruna Ranaweera ranawera@engineering.ucsb.edu Bassa Baieh baieh@engineering.ucsb.edu Andrew R. Teel teel@ece.ucsb.edu Departent

More information

Adaptive Stabilization of a Class of Nonlinear Systems With Nonparametric Uncertainty

Adaptive Stabilization of a Class of Nonlinear Systems With Nonparametric Uncertainty IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 46, NO. 11, NOVEMBER 2001 1821 Adaptive Stabilization of a Class of Nonlinear Systes With Nonparaetric Uncertainty Aleander V. Roup and Dennis S. Bernstein

More information

ma x = -bv x + F rod.

ma x = -bv x + F rod. Notes on Dynaical Systes Dynaics is the study of change. The priary ingredients of a dynaical syste are its state and its rule of change (also soeties called the dynaic). Dynaical systes can be continuous

More information

Chapter 2: Introduction to Damping in Free and Forced Vibrations

Chapter 2: Introduction to Damping in Free and Forced Vibrations Chapter 2: Introduction to Daping in Free and Forced Vibrations This chapter ainly deals with the effect of daping in two conditions like free and forced excitation of echanical systes. Daping plays an

More information

Ph 20.3 Numerical Solution of Ordinary Differential Equations

Ph 20.3 Numerical Solution of Ordinary Differential Equations Ph 20.3 Nuerical Solution of Ordinary Differential Equations Due: Week 5 -v20170314- This Assignent So far, your assignents have tried to failiarize you with the hardware and software in the Physics Coputing

More information

Decentralized Adaptive Control of Nonlinear Systems Using Radial Basis Neural Networks

Decentralized Adaptive Control of Nonlinear Systems Using Radial Basis Neural Networks 050 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 44, NO., NOVEMBER 999 Decentralized Adaptive Control of Nonlinear Systes Using Radial Basis Neural Networks Jeffrey T. Spooner and Kevin M. Passino Abstract

More information

Lecture #8-3 Oscillations, Simple Harmonic Motion

Lecture #8-3 Oscillations, Simple Harmonic Motion Lecture #8-3 Oscillations Siple Haronic Motion So far we have considered two basic types of otion: translation and rotation. But these are not the only two types of otion we can observe in every day life.

More information

DRAFT. Memo. Contents. To whom it may concern SVN: Jan Mooiman +31 (0) nl

DRAFT. Memo. Contents. To whom it may concern SVN: Jan Mooiman +31 (0) nl Meo To To who it ay concern Date Reference Nuber of pages 219-1-16 SVN: 5744 22 Fro Direct line E-ail Jan Mooian +31 )88 335 8568 jan.ooian@deltares nl +31 6 4691 4571 Subject PID controller ass-spring-daper

More information

Department of Physics Preliminary Exam January 3 6, 2006

Department of Physics Preliminary Exam January 3 6, 2006 Departent of Physics Preliinary Exa January 3 6, 2006 Day 1: Classical Mechanics Tuesday, January 3, 2006 9:00 a.. 12:00 p.. Instructions: 1. Write the answer to each question on a separate sheet of paper.

More information

NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT

NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT NUMERICAL MODELLING OF THE TYRE/ROAD CONTACT PACS REFERENCE: 43.5.LJ Krister Larsson Departent of Applied Acoustics Chalers University of Technology SE-412 96 Sweden Tel: +46 ()31 772 22 Fax: +46 ()31

More information

2nd Workshop on Joints Modelling Dartington April 2009 Identification of Nonlinear Bolted Lap Joint Parameters using Force State Mapping

2nd Workshop on Joints Modelling Dartington April 2009 Identification of Nonlinear Bolted Lap Joint Parameters using Force State Mapping Identification of Nonlinear Bolted Lap Joint Paraeters using Force State Mapping International Journal of Solids and Structures, 44 (007) 8087 808 Hassan Jalali, Haed Ahadian and John E Mottershead _ Γ

More information

DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION

DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION DETECTION OF NONLINEARITY IN VIBRATIONAL SYSTEMS USING THE SECOND TIME DERIVATIVE OF ABSOLUTE ACCELERATION Masaki WAKUI 1 and Jun IYAMA and Tsuyoshi KOYAMA 3 ABSTRACT This paper shows a criteria to detect

More information

Ufuk Demirci* and Feza Kerestecioglu**

Ufuk Demirci* and Feza Kerestecioglu** 1 INDIRECT ADAPTIVE CONTROL OF MISSILES Ufuk Deirci* and Feza Kerestecioglu** *Turkish Navy Guided Missile Test Station, Beykoz, Istanbul, TURKEY **Departent of Electrical and Electronics Engineering,

More information

COULD A VARIABLE MASS OSCILLATOR EXHIBIT THE LATERAL INSTABILITY?

COULD A VARIABLE MASS OSCILLATOR EXHIBIT THE LATERAL INSTABILITY? Kragujevac J. Sci. 3 (8) 3-44. UDC 53.35 3 COULD A VARIABLE MASS OSCILLATOR EXHIBIT THE LATERAL INSTABILITY? Nebojša Danilović, Milan Kovačević and Vukota Babović Institute of Physics, Faculty of Science,

More information

A simple phenomenologic model for particle transport in spaceperiodic potentials in underdamped systems

A simple phenomenologic model for particle transport in spaceperiodic potentials in underdamped systems A siple phenoenologic odel for particle transport in spaceperiodic potentials in underdaped systes IG MARCHENKO 1,(a,b), II MARCHENKO 3, A ZHIGLO 1 1 NSC Kharov Institute of Physics and Technology, Aadeichesaya

More information

An Approximate Model for the Theoretical Prediction of the Velocity Increase in the Intermediate Ballistics Period

An Approximate Model for the Theoretical Prediction of the Velocity Increase in the Intermediate Ballistics Period An Approxiate Model for the Theoretical Prediction of the Velocity... 77 Central European Journal of Energetic Materials, 205, 2(), 77-88 ISSN 2353-843 An Approxiate Model for the Theoretical Prediction

More information

Torsion Experiment. Encoder #3 ( 3 ) Third encoder/disk for Model 205a only. Figure 1: ECP Torsion Experiment

Torsion Experiment. Encoder #3 ( 3 ) Third encoder/disk for Model 205a only. Figure 1: ECP Torsion Experiment Torsion Experient Introduction For the Torsion lab, there are two required experients to perfor and one extra credit assignent at the end. In experient 1, the syste paraeters need to be identified so that

More information

ACTIVE VIBRATION CONTROL FOR STRUCTURE HAVING NON- LINEAR BEHAVIOR UNDER EARTHQUAKE EXCITATION

ACTIVE VIBRATION CONTROL FOR STRUCTURE HAVING NON- LINEAR BEHAVIOR UNDER EARTHQUAKE EXCITATION International onference on Earthquae Engineering and Disaster itigation, Jaarta, April 14-15, 8 ATIVE VIBRATION ONTROL FOR TRUTURE HAVING NON- LINEAR BEHAVIOR UNDER EARTHQUAE EXITATION Herlien D. etio

More information

Analysis of ground vibration transmission in high precision equipment by Frequency Based Substructuring

Analysis of ground vibration transmission in high precision equipment by Frequency Based Substructuring Analysis of ground vibration transission in high precision equipent by Frequency Based Substructuring G. van Schothorst 1, M.A. Boogaard 2, G.W. van der Poel 1, D.J. Rixen 2 1 Philips Innovation Services,

More information

Question 1. [14 Marks]

Question 1. [14 Marks] 6 Question 1. [14 Marks] R r T! A string is attached to the dru (radius r) of a spool (radius R) as shown in side and end views here. (A spool is device for storing string, thread etc.) A tension T is

More information

CHECKLIST. r r. Newton s Second Law. natural frequency ω o (rad.s -1 ) (Eq ) a03/p1/waves/waves doc 9:19 AM 29/03/05 1

CHECKLIST. r r. Newton s Second Law. natural frequency ω o (rad.s -1 ) (Eq ) a03/p1/waves/waves doc 9:19 AM 29/03/05 1 PHYS12 Physics 1 FUNDAMENTALS Module 3 OSCILLATIONS & WAVES Text Physics by Hecht Chapter 1 OSCILLATIONS Sections: 1.5 1.6 Exaples: 1.6 1.7 1.8 1.9 CHECKLIST Haronic otion, periodic otion, siple haronic

More information

Model Predictive Control Approach to Design Practical Adaptive Cruise Control for Traffic Jam

Model Predictive Control Approach to Design Practical Adaptive Cruise Control for Traffic Jam Taku Takahaa et al./international Journal of Autootive Engineering Vol.9, No.3 (218) pp.99-14 Research Paper 218495 Model Predictive Control Approach to Design Practical Adaptive Cruise Control for Traffic

More information

Chapter 1: Basics of Vibrations for Simple Mechanical Systems

Chapter 1: Basics of Vibrations for Simple Mechanical Systems Chapter 1: Basics of Vibrations for Siple Mechanical Systes Introduction: The fundaentals of Sound and Vibrations are part of the broader field of echanics, with strong connections to classical echanics,

More information

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all

2 Q 10. Likewise, in case of multiple particles, the corresponding density in 2 must be averaged over all Lecture 6 Introduction to kinetic theory of plasa waves Introduction to kinetic theory So far we have been odeling plasa dynaics using fluid equations. The assuption has been that the pressure can be either

More information

Use of PSO in Parameter Estimation of Robot Dynamics; Part One: No Need for Parameterization

Use of PSO in Parameter Estimation of Robot Dynamics; Part One: No Need for Parameterization Use of PSO in Paraeter Estiation of Robot Dynaics; Part One: No Need for Paraeterization Hossein Jahandideh, Mehrzad Navar Abstract Offline procedures for estiating paraeters of robot dynaics are practically

More information

Nonlinear Backstepping Learning-based Adaptive Control of Electromagnetic Actuators with Proof of Stability

Nonlinear Backstepping Learning-based Adaptive Control of Electromagnetic Actuators with Proof of Stability MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.erl.co Nonlinear Backstepping Learning-based Adaptive Control of Electroagnetic Actuators with Proof of Stability Benosan, M.; Atinc, G.M. TR3-36 Deceber

More information

On random Boolean threshold networks

On random Boolean threshold networks On rando Boolean threshold networs Reinhard Hecel, Steffen Schober and Martin Bossert Institute of Telecounications and Applied Inforation Theory Ul University Albert-Einstein-Allee 43, 89081Ul, Gerany

More information

SEISMIC FRAGILITY ANALYSIS

SEISMIC FRAGILITY ANALYSIS 9 th ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability PMC24 SEISMIC FRAGILITY ANALYSIS C. Kafali, Student M. ASCE Cornell University, Ithaca, NY 483 ck22@cornell.edu M. Grigoriu,

More information

Inverted Pendulum control with pole assignment, LQR and multiple layers sliding mode control

Inverted Pendulum control with pole assignment, LQR and multiple layers sliding mode control J. Basic. Appl. Sci. Res., 3(1s)363-368, 013 013, TetRoad Publication ISSN 090-4304 Journal of Basic and Applied Scientific Research www.tetroad.co Inverted Pendulu control with pole assignent, LQR and

More information

PULSE-TRAIN BASED TIME-DELAY ESTIMATION IMPROVES RESILIENCY TO NOISE

PULSE-TRAIN BASED TIME-DELAY ESTIMATION IMPROVES RESILIENCY TO NOISE PULSE-TRAIN BASED TIME-DELAY ESTIMATION IMPROVES RESILIENCY TO NOISE 1 Nicola Neretti, 1 Nathan Intrator and 1,2 Leon N Cooper 1 Institute for Brain and Neural Systes, Brown University, Providence RI 02912.

More information

BALLISTIC PENDULUM. EXPERIMENT: Measuring the Projectile Speed Consider a steel ball of mass

BALLISTIC PENDULUM. EXPERIMENT: Measuring the Projectile Speed Consider a steel ball of mass BALLISTIC PENDULUM INTRODUCTION: In this experient you will use the principles of conservation of oentu and energy to deterine the speed of a horizontally projected ball and use this speed to predict the

More information

(b) Frequency is simply the reciprocal of the period: f = 1/T = 2.0 Hz.

(b) Frequency is simply the reciprocal of the period: f = 1/T = 2.0 Hz. Chapter 5. (a) During siple haronic otion, the speed is (oentarily) zero when the object is at a turning point (that is, when x = +x or x = x ). Consider that it starts at x = +x and we are told that t

More information

New Slack-Monotonic Schedulability Analysis of Real-Time Tasks on Multiprocessors

New Slack-Monotonic Schedulability Analysis of Real-Time Tasks on Multiprocessors New Slack-Monotonic Schedulability Analysis of Real-Tie Tasks on Multiprocessors Risat Mahud Pathan and Jan Jonsson Chalers University of Technology SE-41 96, Göteborg, Sweden {risat, janjo}@chalers.se

More information

On the characterization of non-linear diffusion equations. An application in soil mechanics

On the characterization of non-linear diffusion equations. An application in soil mechanics On the characterization of non-linear diffusion equations. An application in soil echanics GARCÍA-ROS, G., ALHAMA, I., CÁNOVAS, M *. Civil Engineering Departent Universidad Politécnica de Cartagena Paseo

More information

Pseudo Dynamic Model Reference Nonlinear Control of a Continuous Bioreactor with Input Multiplicities

Pseudo Dynamic Model Reference Nonlinear Control of a Continuous Bioreactor with Input Multiplicities seudo Dynaic Model Reference Nonlinear Control of a Continuous Bioreactor with Input Multiplicities G.rabhaker Reddy*,V. Raesh Kuar and B.Spandana Abstract In the present work, the odel reference nonlinear

More information

16.30/31 September 24, 2010 Prof. J. P. How and Prof. E. Frazzoli Due: October 15, 2010 T.A. B. Luders /31 Lab #1

16.30/31 September 24, 2010 Prof. J. P. How and Prof. E. Frazzoli Due: October 15, 2010 T.A. B. Luders /31 Lab #1 16.30/31 Septeber 24, 2010 Prof. J. P. How and Prof. E. Frazzoli Due: October 15, 2010 T.A. B. Luders 16.30/31 Lab #1 1 Introduction The Quanser helicopter is a echanical device that eulates the flight

More information

Optical Properties of Plasmas of High-Z Elements

Optical Properties of Plasmas of High-Z Elements Forschungszentru Karlsruhe Techni und Uwelt Wissenschaftlishe Berichte FZK Optical Properties of Plasas of High-Z Eleents V.Tolach 1, G.Miloshevsy 1, H.Würz Project Kernfusion 1 Heat and Mass Transfer

More information

Solving initial value problems by residual power series method

Solving initial value problems by residual power series method Theoretical Matheatics & Applications, vol.3, no.1, 13, 199-1 ISSN: 179-9687 (print), 179-979 (online) Scienpress Ltd, 13 Solving initial value probles by residual power series ethod Mohaed H. Al-Sadi

More information

Extension of CSRSM for the Parametric Study of the Face Stability of Pressurized Tunnels

Extension of CSRSM for the Parametric Study of the Face Stability of Pressurized Tunnels Extension of CSRSM for the Paraetric Study of the Face Stability of Pressurized Tunnels Guilhe Mollon 1, Daniel Dias 2, and Abdul-Haid Soubra 3, M.ASCE 1 LGCIE, INSA Lyon, Université de Lyon, Doaine scientifique

More information

Physics 2107 Oscillations using Springs Experiment 2

Physics 2107 Oscillations using Springs Experiment 2 PY07 Oscillations using Springs Experient Physics 07 Oscillations using Springs Experient Prelab Read the following bacground/setup and ensure you are failiar with the concepts and theory required for

More information

System Design of Quadrotor

System Design of Quadrotor Syste Design of Quadrotor Yukai Gong, Weina Mao, Bu Fan, Yi Yang Mar. 29, 2016 A final project of MECHENG 561. Supervised by Prof. Vasudevan. 1 Abstract In this report, an autonoous quadrotor is designed.

More information

Smith Predictor Based-Sliding Mode Controller for Integrating Process with Elevated Deadtime

Smith Predictor Based-Sliding Mode Controller for Integrating Process with Elevated Deadtime Sith Predictor Based-Sliding Mode Controller for Integrating Process with Elevated Deadtie Oscar Caacho, a, * Francisco De la Cruz b a Postgrado en Autoatización e Instruentación. Grupo en Nuevas Estrategias

More information

Chapter 11: Vibration Isolation of the Source [Part I]

Chapter 11: Vibration Isolation of the Source [Part I] Chapter : Vibration Isolation of the Source [Part I] Eaple 3.4 Consider the achine arrangeent illustrated in figure 3.. An electric otor is elastically ounted, by way of identical isolators, to a - thick

More information

Periodic Motion is everywhere

Periodic Motion is everywhere Lecture 19 Goals: Chapter 14 Interrelate the physics and atheatics of oscillations. Draw and interpret oscillatory graphs. Learn the concepts of phase and phase constant. Understand and use energy conservation

More information

An Adaptive UKF Algorithm for the State and Parameter Estimations of a Mobile Robot

An Adaptive UKF Algorithm for the State and Parameter Estimations of a Mobile Robot Vol. 34, No. 1 ACTA AUTOMATICA SINICA January, 2008 An Adaptive UKF Algorith for the State and Paraeter Estiations of a Mobile Robot SONG Qi 1, 2 HAN Jian-Da 1 Abstract For iproving the estiation accuracy

More information

On Constant Power Water-filling

On Constant Power Water-filling On Constant Power Water-filling Wei Yu and John M. Cioffi Electrical Engineering Departent Stanford University, Stanford, CA94305, U.S.A. eails: {weiyu,cioffi}@stanford.edu Abstract This paper derives

More information

Envelope frequency Response Function Analysis of Mechanical Structures with Uncertain Modal Damping Characteristics

Envelope frequency Response Function Analysis of Mechanical Structures with Uncertain Modal Damping Characteristics Copyright c 2007 Tech Science Press CMES, vol.22, no.2, pp.129-149, 2007 Envelope frequency Response Function Analysis of Mechanical Structures with Uncertain Modal Daping Characteristics D. Moens 1, M.

More information

Accuracy of the Scaling Law for Experimental Natural Frequencies of Rectangular Thin Plates

Accuracy of the Scaling Law for Experimental Natural Frequencies of Rectangular Thin Plates The 9th Conference of Mechanical Engineering Network of Thailand 9- October 005, Phuket, Thailand Accuracy of the caling Law for Experiental Natural Frequencies of Rectangular Thin Plates Anawat Na songkhla

More information

Generalized Rayleigh Wave Dispersion in a Covered Half-space Made of Viscoelastic Materials

Generalized Rayleigh Wave Dispersion in a Covered Half-space Made of Viscoelastic Materials Copyright 7 Tech Science Press CMC vol.53 no.4 pp.37-34 7 Generalized Rayleigh Wave Dispersion in a Covered Half-space Made of Viscoelastic Materials S.D. Akbarov and M. Negin 3 Abstract: Dispersion of

More information

Resonance and Friction Compensations in a Micro Hard Drive

Resonance and Friction Compensations in a Micro Hard Drive Resonance and Friction Copensations in a Micro Hard Drive * School of Electrical Engineering, Institute of Engineering Suranaree University of Technology Nakhon Ratchasia, Thailand, 30000 *corresponding

More information

Detecting Intrusion Faults in Remotely Controlled Systems

Detecting Intrusion Faults in Remotely Controlled Systems 2009 Aerican Control Conference Hyatt Regency Riverfront, St. Louis, MO, USA June 10-12, 2009 FrB11.3 Detecting Intrusion Faults in Reotely Controlled Systes Salvatore Candido and Seth Hutchinson Abstract

More information

Analysis of Impulsive Natural Phenomena through Finite Difference Methods A MATLAB Computational Project-Based Learning

Analysis of Impulsive Natural Phenomena through Finite Difference Methods A MATLAB Computational Project-Based Learning Analysis of Ipulsive Natural Phenoena through Finite Difference Methods A MATLAB Coputational Project-Based Learning Nicholas Kuia, Christopher Chariah, Mechatronics Engineering, Vaughn College of Aeronautics

More information

Experimental Design For Model Discrimination And Precise Parameter Estimation In WDS Analysis

Experimental Design For Model Discrimination And Precise Parameter Estimation In WDS Analysis City University of New York (CUNY) CUNY Acadeic Works International Conference on Hydroinforatics 8-1-2014 Experiental Design For Model Discriination And Precise Paraeter Estiation In WDS Analysis Giovanna

More information

Architectural issues in the control of tall multiple-input multiple-output plants

Architectural issues in the control of tall multiple-input multiple-output plants Preprints of the 19th World Congress The International Federation of Autoatic Control Architectural issues in the control of tall ultiple-input ultiple-output plants Pedro Albertos Mario E. Salgado Departent

More information

CONTROL SYSTEMS, ROBOTICS, AND AUTOMATION Vol. IX Uncertainty Models For Robustness Analysis - A. Garulli, A. Tesi and A. Vicino

CONTROL SYSTEMS, ROBOTICS, AND AUTOMATION Vol. IX Uncertainty Models For Robustness Analysis - A. Garulli, A. Tesi and A. Vicino UNCERTAINTY MODELS FOR ROBUSTNESS ANALYSIS A. Garulli Dipartiento di Ingegneria dell Inforazione, Università di Siena, Italy A. Tesi Dipartiento di Sistei e Inforatica, Università di Firenze, Italy A.

More information

Wall Juggling of one Ball by Robot Manipulator with Visual Servo

Wall Juggling of one Ball by Robot Manipulator with Visual Servo Juggling of one Ball by obot Manipulator with Visual Servo Akira Nakashia Yosuke Kobayashi Yoshikazu Hayakawa Mechanical Science and Engineering, Graduate School of Engineering, Nagoya University, Furo-cho,

More information

TOPIC E: OSCILLATIONS SPRING 2018

TOPIC E: OSCILLATIONS SPRING 2018 TOPIC E: OSCILLATIONS SPRING 018 1. Introduction 1.1 Overview 1. Degrees of freedo 1.3 Siple haronic otion. Undaped free oscillation.1 Generalised ass-spring syste: siple haronic otion. Natural frequency

More information

26 Impulse and Momentum

26 Impulse and Momentum 6 Ipulse and Moentu First, a Few More Words on Work and Energy, for Coparison Purposes Iagine a gigantic air hockey table with a whole bunch of pucks of various asses, none of which experiences any friction

More information

THE KALMAN FILTER: A LOOK BEHIND THE SCENE

THE KALMAN FILTER: A LOOK BEHIND THE SCENE HE KALMA FILER: A LOOK BEHID HE SCEE R.E. Deain School of Matheatical and Geospatial Sciences, RMI University eail: rod.deain@rit.edu.au Presented at the Victorian Regional Survey Conference, Mildura,

More information

Donald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields.

Donald Fussell. October 28, Computer Science Department The University of Texas at Austin. Point Masses and Force Fields. s Vector Moving s and Coputer Science Departent The University of Texas at Austin October 28, 2014 s Vector Moving s Siple classical dynaics - point asses oved by forces Point asses can odel particles

More information

Analyzing Simulation Results

Analyzing Simulation Results Analyzing Siulation Results Dr. John Mellor-Cruey Departent of Coputer Science Rice University johnc@cs.rice.edu COMP 528 Lecture 20 31 March 2005 Topics for Today Model verification Model validation Transient

More information

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD

ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD PROCEEDINGS OF THE YEREVAN STATE UNIVERSITY Physical and Matheatical Sciences 04,, p. 7 5 ON THE TWO-LEVEL PRECONDITIONING IN LEAST SQUARES METHOD M a t h e a t i c s Yu. A. HAKOPIAN, R. Z. HOVHANNISYAN

More information

System Modeling and Control of a Clutch Actuator System for Dual Clutch Transmissions

System Modeling and Control of a Clutch Actuator System for Dual Clutch Transmissions Syste Modeling and Control of a Clutch Actuator Syste for Dual Clutch Transissions Jinsung Ki *) Seibu B. Choi ) Heerak Lee ) Jiwoo Kang ) Mandae Hur ) ) Departent of Mechanical Engineering, KAIST, 9 Daehak-ro,

More information

Tele-Operation of a Mobile Robot Through Haptic Feedback

Tele-Operation of a Mobile Robot Through Haptic Feedback HAVE 00 IEEE Int. Workshop on Haptic Virtual Environents and Their Applications Ottawa, Ontario, Canada, 7-8 Noveber 00 Tele-Operation of a Mobile Robot Through Haptic Feedback Nicola Diolaiti, Claudio

More information

HORIZONTAL MOTION WITH RESISTANCE

HORIZONTAL MOTION WITH RESISTANCE DOING PHYSICS WITH MATLAB MECHANICS HORIZONTAL MOTION WITH RESISTANCE Ian Cooper School of Physics, Uniersity of Sydney ian.cooper@sydney.edu.au DOWNLOAD DIRECTORY FOR MATLAB SCRIPTS ec_fr_b. This script

More information

Computer Model For Sieves Vibrations Analysis, Using an Algorithm Based on the False-Position Method

Computer Model For Sieves Vibrations Analysis, Using an Algorithm Based on the False-Position Method Aerican Journal of Applied Sciences 6 (): 48-56, 9 ISSN 546-939 9 Science Publications Coputer Model For Sieves Vibrations Analysis, Using an Algorith Based on the False-Position Method Dinu I. Stoicovici,

More information

A method to determine relative stroke detection efficiencies from multiplicity distributions

A method to determine relative stroke detection efficiencies from multiplicity distributions A ethod to deterine relative stroke detection eiciencies ro ultiplicity distributions Schulz W. and Cuins K. 2. Austrian Lightning Detection and Inoration Syste (ALDIS), Kahlenberger Str.2A, 90 Vienna,

More information

STABILITY RESULTS FOR CONTINUOUS AND DISCRETE TIME LINEAR PARAMETER VARYING SYSTEMS

STABILITY RESULTS FOR CONTINUOUS AND DISCRETE TIME LINEAR PARAMETER VARYING SYSTEMS STABILITY RESULTS FOR CONTINUOUS AND DISCRETE TIME LINEAR PARAMETER VARYING SYSTEMS Franco Blanchini Stefano Miani Carlo Savorgnan,1 DIMI, Università degli Studi di Udine, Via delle Scienze 208, 33100

More information

Multiscale Entropy Analysis: A New Method to Detect Determinism in a Time. Series. A. Sarkar and P. Barat. Variable Energy Cyclotron Centre

Multiscale Entropy Analysis: A New Method to Detect Determinism in a Time. Series. A. Sarkar and P. Barat. Variable Energy Cyclotron Centre Multiscale Entropy Analysis: A New Method to Detect Deterinis in a Tie Series A. Sarkar and P. Barat Variable Energy Cyclotron Centre /AF Bidhan Nagar, Kolkata 700064, India PACS nubers: 05.45.Tp, 89.75.-k,

More information

Adaptive Controller Design for a Synchronous Generator with Unknown Perturbation in Mechanical Power

Adaptive Controller Design for a Synchronous Generator with Unknown Perturbation in Mechanical Power 308 International Journal of Control Xiaohong Autoation Jiao Yuanzhang and Systes Sun vol and 3 Tielong no (special Shen edition) pp 308-34 June 005 Adaptive Controller Design for a Synchronous Generator

More information

State Estimation Problem for the Action Potential Modeling in Purkinje Fibers

State Estimation Problem for the Action Potential Modeling in Purkinje Fibers APCOM & ISCM -4 th Deceber, 203, Singapore State Estiation Proble for the Action Potential Modeling in Purinje Fibers *D. C. Estuano¹, H. R. B.Orlande and M. J.Colaço Federal University of Rio de Janeiro

More information

2.141 Modeling and Simulation of Dynamic Systems Assignment #2

2.141 Modeling and Simulation of Dynamic Systems Assignment #2 2.141 Modeling and Siulation of Dynaic Systes Assignent #2 Out: Wednesday Septeber 20, 2006 Due: Wednesday October 4, 2006 Proble 1 The sketch shows a highly siplified diagra of a dry-dock used in ship

More information

A DESIGN GUIDE OF DOUBLE-LAYER CELLULAR CLADDINGS FOR BLAST ALLEVIATION

A DESIGN GUIDE OF DOUBLE-LAYER CELLULAR CLADDINGS FOR BLAST ALLEVIATION International Journal of Aerospace and Lightweight Structures Vol. 3, No. 1 (2013) 109 133 c Research Publishing Services DOI: 10.3850/S201042862013000550 A DESIGN GUIDE OF DOUBLE-LAYER CELLULAR CLADDINGS

More information

CHAPTER 19: Single-Loop IMC Control

CHAPTER 19: Single-Loop IMC Control When I coplete this chapter, I want to be able to do the following. Recognize that other feedback algoriths are possible Understand the IMC structure and how it provides the essential control features

More information

Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems

Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems Adapting the Pheroone Evaporation Rate in Dynaic Routing Probles Michalis Mavrovouniotis and Shengxiang Yang School of Coputer Science and Inforatics, De Montfort University The Gateway, Leicester LE1

More information

A Hybrid Feedback Control Strategy for Autonomous Waypoint Transitioning and Loitering of Unmanned Aerial Vehicles

A Hybrid Feedback Control Strategy for Autonomous Waypoint Transitioning and Loitering of Unmanned Aerial Vehicles A Hybrid Feedback Control Strategy for Autonoous Waypoint Transitioning and Loitering of Unanned Aerial Vehicles Dean W. Sith III a, Ricardo G. Sanfelice b a Guidance Navigation and Control Center. Raytheon

More information

SUPERIOR-ORDER CURVATURE-CORRECTED PROGRAMMABLE VOLTAGE REFERENCES

SUPERIOR-ORDER CURVATURE-CORRECTED PROGRAMMABLE VOLTAGE REFERENCES SUPEIO-ODE CUATUE-COECTED POGAMMABLE OLTAGE EFEENCES Cosin Popa e-ail: cosin@golanapubro Faculty of Electronics and Telecounications, University Politehnica of Bucharest, B dul Iuliu Maniu 1-3, Bucuresti,

More information

Robustness Experiments for a Planar Hopping Control System

Robustness Experiments for a Planar Hopping Control System To appear in International Conference on Clibing and Walking Robots Septeber 22 Robustness Experients for a Planar Hopping Control Syste Kale Harbick and Gaurav S. Sukhate kale gaurav@robotics.usc.edu

More information

A Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair

A Simplified Analytical Approach for Efficiency Evaluation of the Weaving Machines with Automatic Filling Repair Proceedings of the 6th SEAS International Conference on Siulation, Modelling and Optiization, Lisbon, Portugal, Septeber -4, 006 0 A Siplified Analytical Approach for Efficiency Evaluation of the eaving

More information

Ch 12: Variations on Backpropagation

Ch 12: Variations on Backpropagation Ch 2: Variations on Backpropagation The basic backpropagation algorith is too slow for ost practical applications. It ay take days or weeks of coputer tie. We deonstrate why the backpropagation algorith

More information

Multi Degrees of Freedom Maglev System with Permanent Magnet Motion Control

Multi Degrees of Freedom Maglev System with Permanent Magnet Motion Control Multi Degrees of Freedo Maglev Syste with Peranent Magnet Motion Control Cui Tianshi A dissertation subitted to Kochi University of Technology in partial fulfillent of the requireents for the degree of

More information

ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER

ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER IEPC 003-0034 ANALYSIS OF HALL-EFFECT THRUSTERS AND ION ENGINES FOR EARTH-TO-MOON TRANSFER A. Bober, M. Guelan Asher Space Research Institute, Technion-Israel Institute of Technology, 3000 Haifa, Israel

More information

Stably Extending Two-Dimensional Bipedal Walking to Three Dimensions

Stably Extending Two-Dimensional Bipedal Walking to Three Dimensions Proceedings of the 2007 Aerican Control Conference Marriott Marquis Hotel at Ties Square New York City USA July -3 2007 ThB0.4 Stably Extending Two-Diensional Bipedal Walking to Three Diensions Aaron D.

More information

Hybrid System Identification: An SDP Approach

Hybrid System Identification: An SDP Approach 49th IEEE Conference on Decision and Control Deceber 15-17, 2010 Hilton Atlanta Hotel, Atlanta, GA, USA Hybrid Syste Identification: An SDP Approach C Feng, C M Lagoa, N Ozay and M Sznaier Abstract The

More information

Data-Driven Imaging in Anisotropic Media

Data-Driven Imaging in Anisotropic Media 18 th World Conference on Non destructive Testing, 16- April 1, Durban, South Africa Data-Driven Iaging in Anisotropic Media Arno VOLKER 1 and Alan HUNTER 1 TNO Stieltjesweg 1, 6 AD, Delft, The Netherlands

More information

PY241 Solutions Set 9 (Dated: November 7, 2002)

PY241 Solutions Set 9 (Dated: November 7, 2002) PY241 Solutions Set 9 (Dated: Noveber 7, 2002) 9-9 At what displaceent of an object undergoing siple haronic otion is the agnitude greatest for the... (a) velocity? The velocity is greatest at x = 0, the

More information

USEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS. By: Ian Blokland, Augustana Campus, University of Alberta

USEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS. By: Ian Blokland, Augustana Campus, University of Alberta 1 USEFUL HINTS FOR SOLVING PHYSICS OLYMPIAD PROBLEMS By: Ian Bloland, Augustana Capus, University of Alberta For: Physics Olypiad Weeend, April 6, 008, UofA Introduction: Physicists often attept to solve

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering 2.010: Systems Modeling and Dynamics III. Final Examination Review Problems

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Mechanical Engineering 2.010: Systems Modeling and Dynamics III. Final Examination Review Problems ASSACHUSETTS INSTITUTE OF TECHNOLOGY Departent of echanical Engineering 2.010: Systes odeling and Dynaics III Final Eaination Review Probles Fall 2000 Good Luck And have a great winter break! page 1 Proble

More information

Modulation of Harmonic Emission Spectra from Intense Laser-Plasma Interactions

Modulation of Harmonic Emission Spectra from Intense Laser-Plasma Interactions Modulation of Haronic Eission Spectra fro Intense Laser-Plasa Interactions T.J.M. Boyd and R. Ondarza-Rovira 2 Centre for Physics, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, U.K. 2 ININ, A.P.

More information

EMPIRICAL COMPLEXITY ANALYSIS OF A MILP-APPROACH FOR OPTIMIZATION OF HYBRID SYSTEMS

EMPIRICAL COMPLEXITY ANALYSIS OF A MILP-APPROACH FOR OPTIMIZATION OF HYBRID SYSTEMS EMPIRICAL COMPLEXITY ANALYSIS OF A MILP-APPROACH FOR OPTIMIZATION OF HYBRID SYSTEMS Jochen Till, Sebastian Engell, Sebastian Panek, and Olaf Stursberg Process Control Lab (CT-AST), University of Dortund,

More information

PHYS 1443 Section 003 Lecture #21 Wednesday, Nov. 19, 2003 Dr. Mystery Lecturer

PHYS 1443 Section 003 Lecture #21 Wednesday, Nov. 19, 2003 Dr. Mystery Lecturer PHYS 443 Section 003 Lecture # Wednesday, Nov. 9, 003 Dr. Mystery Lecturer. Fluid Dyanics : Flow rate and Continuity Equation. Bernoulli s Equation 3. Siple Haronic Motion 4. Siple Bloc-Spring Syste 5.

More information

Sharp Time Data Tradeoffs for Linear Inverse Problems

Sharp Time Data Tradeoffs for Linear Inverse Problems Sharp Tie Data Tradeoffs for Linear Inverse Probles Saet Oyak Benjain Recht Mahdi Soltanolkotabi January 016 Abstract In this paper we characterize sharp tie-data tradeoffs for optiization probles used

More information

The Solution of One-Phase Inverse Stefan Problem. by Homotopy Analysis Method

The Solution of One-Phase Inverse Stefan Problem. by Homotopy Analysis Method Applied Matheatical Sciences, Vol. 8, 214, no. 53, 2635-2644 HIKARI Ltd, www.-hikari.co http://dx.doi.org/1.12988/as.214.43152 The Solution of One-Phase Inverse Stefan Proble by Hootopy Analysis Method

More information

Model Based Control versus Classical Control for Parallel Robots

Model Based Control versus Classical Control for Parallel Robots odel Based Control versus Classical Control for Parallel Robots Květoslav Belda Institute of Inforation heory and Autoation, Acadey of Sciences of the Czech Republic, Pod vodárensou věží 4, 82 08 Praha

More information

Finite Time Synchronization between Two Different Chaotic Systems with Uncertain Parameters

Finite Time Synchronization between Two Different Chaotic Systems with Uncertain Parameters www.ccsenet.org/cis Coputer and Inforation Science Vol., No. ; August 00 Finite Tie Synchronization between Two Different Chaotic Systes with Uncertain Paraeters Abstract Wanli Yang, Xiaodong Xia, Yucai

More information

Physics 207 Lecture 18. Physics 207, Lecture 18, Nov. 3 Goals: Chapter 14

Physics 207 Lecture 18. Physics 207, Lecture 18, Nov. 3 Goals: Chapter 14 Physics 07, Lecture 18, Nov. 3 Goals: Chapter 14 Interrelate the physics and atheatics of oscillations. Draw and interpret oscillatory graphs. Learn the concepts of phase and phase constant. Understand

More information