Simple Stability Conditions of Linear Discrete Time Systems with Multiple Delay

Size: px
Start display at page:

Download "Simple Stability Conditions of Linear Discrete Time Systems with Multiple Delay"

Transcription

1 SERBIA JOURAL OF ELECRICAL EGIEERIG Vol. 7, o., May, UDK: : Siple Stability Conditions of Linear Discrete ie Systes with Multiple Delay Sreten B. Stoanovic, Dragutin LJ. Debelovic Abstract: In this paper we have established a new Lyapunov-Krasovsii ethod for linear discrete tie systes with ultiple tie delay. Based on this ethod, two sufficient conditions for delay-independent asyptotic stability of the linear discrete tie systes with ultiple delays are derived in the shape of Lyapunov inequality. uerical exaples are presented to deonstrate the applicability of the present approach. Keywords: Discrete tie-delay systes, Lyapunov-Krasovsii ethod, Delayindependent stability, Liner atrix inequality. Inotrduction During the last three decades, the proble of stability analysis of tie delay systes has received considerable attention and any papers dealing with this proble have appeared. In the literature, various stability techniques have been utilized to derive stability criteria for tie delay systes by any researchers. he techniques can be grossly classified into two categories: frequency doain approach (which are suitable for systes with a sall nuber of heterogeneous delays) and tie-doain approach (for systes with a any heterogeneous delays). he second approach is based on the coparison principle based techniques for functional differential equations [, ] or the Lyapunov stability approach with the Krasovsii and Razuihin ethods [3, 4]. In the past few years stability probles are thus reduced to one of finding solutions to Lyapunov [5] or Riccati equations [6] solving linear atrix inequalities (LMIs) [7] or analyzing eigenvalue distribution of appropriate finite-diensional atrices [8]. It is well-nown that the choice of an appropriate Lyapunov Krasovsii functional is crucial for deriving stability conditions [9]. he general for of this functional leads to a coplicated syste of partial differential equations Faculty of echnology, University of is, Lesovac, Serbia, e-ail: ssreten@ptt.rs Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia; E-ail: ddebelovic@as.bg.ac.rs 69

2 S.B. Stoanovic, D.LJ. Debelovic []. Special fors of Lyapunov Krasovsii functional lead to sipler delayindependent [, 7, 9] and less conservative delay-dependent conditions [9,, ]. In the past few years, there have been various approaches to reduce the conservatis of delay-dependent conditions by using new bounding for cross ters (Par s and siilarly inequalities) [, 3] or choosing new Lyapunov Krasovsii functional and odel transforation. However, the odel transforation ay introduce additional dynaics [4]. In [5] it is shown that descriptor transforation leads to a syste which is equivalent to the original one, does not depend on additional assuptions for stability of the transfored syste and requires bounding of fewer cross-ters. Since ost physical systes evolve in continuous tie, it is natural that theories for stability analysis are ainly developed for continuous-tie. However, it is ore reasonable that one should use a discrete-tie approach for that purpose because the controller is usually ipleented digitally. Despite this significance entioned, less attention has been paid to discrete-tie systes with delays [6-3, 5, 6]. It is ainly due to the fact that the delaydifference equations with nown delays can be converted into a higher-order delay less syste by augentation approach. However, for systes with large nown delay aounts, this schee will lead to large-diensional systes. Furtherore, for systes with unnown delay the augentation schee is not applicable. In this paper, new delay-independent asyptotic stability conditions are derived for discrete state-delayed systes with ultiple delays. hese conditions are derived using Lyapunov-Krasovsii ethod for discrete tiedelay systes which is presented in [6]. hroughout this paper we use the following notation. R denote real vector space or the set of real nubers, Z+ denotes the set of all non-negative integers. he superscript denotes transposition. For real atrix F the notation F > eans that the atrix F is positive definite. I and represent identity atrix and zero atrix. In syetric bloc atrices or long atrix expressions, we use an asteris (*) to represent a ter that is induced by syetry. Blocdiag {.} stands for a bloc-diagonal atrix. Matrices, if their diensions are not explicitly stated, are assued to be copatible for algebraic operations. v and denote nor of vector v and atrix 7 F, while v n v i= i = and F = λ ax ( F F) denote their Euclid nors. λ ( F ) is the eigenvalue of atrix F and ( F) σ denotes singular value of atrix F ( σ ax ( F) = F ).

3 Siple Stability Conditions of Linear Discrete ie Systes with Multiple Delay Model Description and Preliinaries A linear, autonoous, ultivariable discrete tie-delay syste can be represented by the difference equation x( + ) = Ax( t) + A x( h), < h < h, () with an associated function of initial state n x ( ) R, ( ) ( ), {,,..., } x θ =ψ θ θ h h + Δ, () n n A R is a constant atrix of appropriate diension and h Z + is unnown tie delay in general case. Let x ( ) ( ) ( ) x x x h, is state vector, (, n D Δ R ) - space of continuous functions apping the discrete interval Δ into R n and φ = sup φ ( θ ), ( ): n φ θ Δ R - the nor of an eleent φ in D. Further, D θ Δ { :, } D γ = φ D φ <γ γ R D. For initial state, the next condition is D assued ψ D. (3) Evidentially, x : θ x ( θ ) x( +θ) D and x ( ) = x (, ψ ). D Definition. he equilibriu state x = of () is asyptotically stable if any function of initial state ψ( θ ) which satisfies holds ψθ ( ) D, (4) li x (, ψ). (5) Lea. [5] If there exist positive nubers α and β and continuous functional V : D R such that < V( x ) α x, x, V() =, (6) D ΔV( x ) V( x ) V( x ) β x( ), (7) + x D satisfying (), then the equilibriu state x = of () is global asyptotically stable. 7

4 S.B. Stoanovic, D.LJ. Debelovic Definition. Discrete syste with tie delay () is asyptotically stable if and only if it s the equilibriu state x = is asyptotically stable. Lea. For any two atrices F and G of diension n and for any square atrix P= P > of diension n, the following stateent is true ( ) ( ) ( ) ( ) F + G P F + G +ε F PF + +ε G PG, (8) where ε is soe positive constant. Lea 3. hebyshev s inequality holds for any real vector v i vi vi vi vi i= i= i=. (9) 3 Main Results heore. he linear discrete tie-delay syste () with A is asyptotically stable if there exists real syetric atrix P > such that ( + ε ) + ε A PA + A PA P<. ε ( ) ε = A A. () Proof. Let the Lyapunov functional be ( ) = ( ) ( ) + ( ) ( ) V x x Px x l S x l l= P= P >, S = S, h, () where x = x( +θ ), θ { h, h,..., } +. () he forward difference along the solutions of syste () is 7

5 Siple Stability Conditions of Linear Discrete ie Systes with Multiple Delay Δ V x = Ax + Ax h P Ax + Ax h ( ) ( ) ( ) ( ) ( ) x Px h x l S x l l= ( ) ( ) ( ) ( ) h l= ( ) ( ) x l S x l. Applying Lea on (3), one can get ( ) ( ) ( ) ( ) ΔV x +ε x A PA x + ( ) x ( h ) A P Ax( h) ( ) ( ) ( ) ( ) ( h) Sx( h) + +ε x Px x S x + x Based on Lea 3 follows ΔV( x) x ( ) ( +ε ) A PA + S Px( ) + ( ) x ( h) A PAx( h) + +ε ( h) Sx( h) x ΔV( x) x ( ) ( +ε ) A PA + S Px( ) + ( h ) ( ) A PA S x( h) + x +ε.., (3) (4) (5) (6) then If one adopt ( ) S = +ε A PA, (7) 73

6 S.B. Stoanovic, D.LJ. Debelovic Δ V ( x ) x ( ) ( +ε ) A PA + ( +ε ) A PA P x ( ). (8) Let us define the following function f ( ε, x( ) ) = x ( ) ( +ε ) A PA + ( +ε ) A PA x ( ). (9) Since atrices A PA and A PA, =,,, are syetric and positive seidefinite then, based on Rayleigh and Air-Moez inequalities [3, 4] f ε, x ( ( )) x +ε λ + +ε λ = g ε λ P ( ) ( ) ax ( A PA ) ( ) ax ( A PA) x( ) ax, ( ) ( ) x ( ) () where ( ε ) = ( +ε) σ ax ( A ) + ( +ε ) σax ( A ) g. () Miniu of the scalar function g( ε ) is obtained fro condition d g() ε = σ ( A ) σ ( A ) =, () ε ε ax ax d ε=ε = σax ( A) σ ax ( A) = A A, (3) where fro follows Δ V x f ε, x f ε, x. (4) ( ) ( ( )) ( ( )) Putting ε instead of ε into (8) we obtain ΔV( x) x ( ) ( +ε) A PA P+ ( +ε ) A PA x ( ) (5) If the condition () is satisfied then ( ) { } { } ΔV x λ Q x( ) = β x( ) <, β λ Q >. (6) in 74 in

7 Siple Stability Conditions of Linear Discrete ie Systes with Multiple Delay Liewise, for x holds ax ( x ) < V h ax x x + +ε x x l= ( ) P ( ) ( ) ( l) A PA ( l) { } ( ) ax { } D λ P x( ) + +ε h λ A PA x( ) λ ax { P} + ( +ε ) h λax { A PA } x( ) =α x ( ), D D (7) where ax { P} ( ) h ax { A PA} α λ + +ε λ >. (8) So, based on Lea, syste () is asyptotically stable. Corollary. he linear discrete tie-delay syste () is asyptotically stable if there exist real syetric atrix P > and scalar ε > such that ( +ε) P (*) (*) (*) ( +ε) PA P (*) (*) ( +ε) PA εp (*) >. (9) ( +ε) PA εp Proof. Fro (), for ( ) Aˆ () ε = A +ε, Aˆ () ε = A +ε / ε (3) follows ( ) ˆ ˆ ˆ ˆ,. (3) P A PA A P A > P> Using Schur copleents [7] it is easy to see that the condition (3) is equivalent to 75

8 S.B. Stoanovic, D.LJ. Debelovic ˆ ˆ ˆ P A PA A > P > ˆ A P,. (3) Siilarly, the condition (3) is equivalent to ˆ ˆ ˆ ˆ P A PA A A ( ) ˆ P ˆ A A P > ˆ ˆ ˆ ˆ P A PA A A (33) ˆ A P >. ˆ A P Finally, the condition (3) is equivalent to P Aˆ Aˆ Aˆ > ˆ A P ˆ A P ˆ A P. (34) Pre and post ultiply (34) with blocdiag{ I, P,, P} we obtain ˆ ˆ ˆ P A P A P A P PAˆ P PAˆ P >. (35) PAˆ P Using (3) and pre and post ultiply (35) with blocdiag{i, I /( +ε ), I ε / ( +ε ),, I ε / ( +ε )} we obtain 76

9 Siple Stability Conditions of Linear Discrete ie Systes with Multiple Delay P A P A P A P PA P +ε ε PA P >. (36) ( +ε) ε PA P ( +ε) With P / ( ( + ε )) replaced by P we obtain (9). 4 uerical Exaple Exaple. Let us consider a discrete delay syste described by ( + ) = A ( ) + A ( h ) + A ( h ) x x x x, A..3 =. α,.3 A =γ.., A..5 =.3., where γ is adustable paraeter and syste scalar paraeter α taes the following values:.5 and.5. o deterined the largest paraeter γ for various values of ε by Corollary, the feasibility of equation (36) with γ as a variable can be cast into a generalized eigenvalue proble in P> (*) (*) (*) (*) (*) α, γ= / α, ( +ε) P (*) (*) (*) ( +ε) PA P (*) (*). <α ( +ε ) PA (*) εp (*) ( + ε) PA εp he delay-independent asyptotic stability conditions are characterized by eans of range of paraeter γ and are suarized in able. 77

10 S.B. Stoanovic, D.LJ. Debelovic able Stability Conditions. Paraeter α Conditions heore γ <.37 ε = γ<. ε = heore γ <.468 ε =ε =.66 γ<.3 ε =ε =.886 Corollary γ <.469 ε =ε =.44 γ<.5 ε =ε =.767 op op 5 Conclusion In this paper we have established a new Lyapunov-Krasovsii ethod for linear discrete tie systes with ultiple tie delay. Based on this ethod, two sufficient conditions for delay-independent asyptotic stability of the linear tie systes with ultiple delays are derived. hese conditions stabilities have been expressed in the shape of Lyapunov inequality. uerical exaples are presented to deonstrate the applicability of the present approach. 6 References [] S.I. iculescu, C.E. de Souza, L. Dugard, J.M. Dion: Robust Exponential Stability of Uncertain Linear Systes with ie-varying Delays, IEEE ransaction on Autoatic Control, Vol. 43, o. 5, May 998, pp [] L. Dugard, E.I. Verriest: Stability and Control of ie-delay Systes, Springer Berlin/Heidelberg, 998. [3] J.K. Hale, S.M.V. Lunel: Introduction to Functional Differential Equations, Springer- Verlag, ew Yor, 993. [4] V.B. Kolanovsii, V.R. osov: Stability of Functional Differential Equations, Acadeic Press, Orlando, Florida, 986. [5] J.H. Su: Further Results on the Robust Stability of Linear Systes with a Single Delay, Systes and Control Letters, Vol. 3, o. 5, ov. 994, pp [6] S.I. iculescu, C.E. de Souza, J.M. Dion, L. Dugard: Robust Stability and Stabilization for Uncertain Linear Systes with State Delay: Single Delay Case (I). IFAC Syposiu on Robust Control Design, Rio de Janeiro, Brazil, 994, pp [7] S. Boyd, L. El Ghaoui, E. Feron, V. Balarishnan: Linear atrix inequalities in syste and control theory, SIAM Studies in Applied Matheatics, Philadelphia, USA, 994. [8] J.H. Su: he Asyptotic Stability of Linear Autonoous Systes with Coensurate ie Delays, IEEE ransactions on Autoatic Control, Vol. 4, o. 6, June 995, pp

11 Siple Stability Conditions of Linear Discrete ie Systes with Multiple Delay [9] V. Kolanovsii, J.P. Richard: Stability of Soe Linear Systes with Delays, IEEE ransactions on Autoatic Control, Vol. 44, o. 5, May 999, pp [] M. Male-Zavarei, M. Jashidi: ie-delay Systes, Analysis, Optiization and Applications, Elsevier Science Inc., ew Yor, USA, 987. [] P. Par: A Delay-dependent Stability Criterion for Systes with Uncertain ie-invariant Delays, IEEE ransactions on Autoatic Control, Vol. 44, o. 4, Apr. 999, pp [] S.I. iculescu: On Delay-dependent Stability under M odel ransforations of Soe eutral Linear Systes, International Journal of Control, Vol. 74, o. 6, Apr., pp [3] J. Chen, G. Gu, C.. ett: A ew Method for Coputing Delay Margins for Stability of Linear Delay Systes, 33rd IEEE Conference on Decision and Control, Lae Buena Vista, Florida, USA, Vol., Dec. 994, pp [4] P. Par, Y.S. Moon, W.H. Kwon: A Delay-dependent Robust Stability Criterion for Uncertain ie-delay Systes, Aerican control conference, Philadelphia, Pennsylvania, June 998, pp [5] E. Fridan, U. Shaed: A Descriptor Syste Approach to H Control of Linear iedelay Systes, IEEE ransactions on Autoatic Control, Vol. 47, o., Feb., pp [6] E. Fridan, U. Shaed: An LMI Approach to Stability of Discrete Delay Systes, European Control Conference, Cabridge, United Kingdo, Sept. 3. [7] E. Fridan, U. Shaed: Delay-dependent H Control of Uncertain Discrete Delay Systes, European Journal of Control, Vol., o., 5, pp [8] E. Fridan, U. Shaed: Stability and Guaranteed Cost Control of Uncertain Discrete Delay Systes, International Journal of Control, Vol. 78, o. 4, March 5, pp [9] V. Kapila, W.M. Haddad: Meoryless H Controllers for Discrete-tie Systes with ie Delay, Autoatica, Vol. 34, o. 9, Sept. 998, pp [] Y.S. Lee, W.H. Kwon: Delay-dependent Robust Stabilization of Uncertain Discrete-tie State-delayed Systes, 5th riennial World Congress, Barcelona, Spain,. [] M.S. Mahoud: Robust H Control of Discrete Systes with Uncertain Paraeters and Unnown Delays, Autoatica, Vol. 36, o. 4, April, pp [] M.S. Mahoud: Linear Paraeter-varying Discrete ie-delay Systes: Stability and l- gain Controllers, International Journal of Control, Vol. 73, o. 6, April, pp [3] C.D. Meyer: Matrix analysis and applied linear algebra, SIAM, Philadelphia,. [4] A.R. Air-Moez: Extree Properties of Eigenvalues of a Heritian ransforations and Singular Values of Su and Product of Linear ransforations, Due Matheatical Journal, Vol. 3, o. 3, Sept. 956, pp [5] S.B. Stoanovic, D.L. Debelovic, I. Mladenovic: Siple Exponential Stability Criteria of Linear Discrete ie Delay Systes, Serbian Journal of Electrical Engineering, Vol. 5, o., ov. 8, pp [6] S.B. Stoanovic, D.L. Debelovic, I. Mladenovic: A Lyapunov-Krasovsii Methodology for Asyptotic Stability of Discrete ie Delay Systes, Serbian Journal of Electrical Engineering, Vol. 4, o., ov. 7, pp

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

Control and Stability of the Time-delay Linear Systems

Control and Stability of the Time-delay Linear Systems ISSN 746-7659, England, UK Journal of Inforation and Couting Science Vol., No. 4, 206,.29-297 Control and Stability of the Tie-delay Linear Systes Negras Tahasbi *, Hojjat Ahsani Tehrani Deartent of Matheatics,

More information

A NOVEL FOR EXPONENTIAL STABILITY OF LINEAR SYSTEMS WITH MULTIPLE TIME-VARYING DELAYS

A NOVEL FOR EXPONENTIAL STABILITY OF LINEAR SYSTEMS WITH MULTIPLE TIME-VARYING DELAYS International Journal of Pure and Applied Matheatics Volue 96 No. 4 2014, 529-538 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpa.eu doi: http://dx.doi.org/10.12732/ijpa.v96i4.8

More information

A new type of lower bound for the largest eigenvalue of a symmetric matrix

A new type of lower bound for the largest eigenvalue of a symmetric matrix Linear Algebra and its Applications 47 7 9 9 www.elsevier.co/locate/laa A new type of lower bound for the largest eigenvalue of a syetric atrix Piet Van Mieghe Delft University of Technology, P.O. Box

More information

Generalized AOR Method for Solving System of Linear Equations. Davod Khojasteh Salkuyeh. Department of Mathematics, University of Mohaghegh Ardabili,

Generalized AOR Method for Solving System of Linear Equations. Davod Khojasteh Salkuyeh. Department of Mathematics, University of Mohaghegh Ardabili, Australian Journal of Basic and Applied Sciences, 5(3): 35-358, 20 ISSN 99-878 Generalized AOR Method for Solving Syste of Linear Equations Davod Khojasteh Salkuyeh Departent of Matheatics, University

More information

Chapter 6 1-D Continuous Groups

Chapter 6 1-D Continuous Groups Chapter 6 1-D Continuous Groups Continuous groups consist of group eleents labelled by one or ore continuous variables, say a 1, a 2,, a r, where each variable has a well- defined range. This chapter explores:

More information

Uniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval

Uniform Approximation and Bernstein Polynomials with Coefficients in the Unit Interval Unifor Approxiation and Bernstein Polynoials with Coefficients in the Unit Interval Weiang Qian and Marc D. Riedel Electrical and Coputer Engineering, University of Minnesota 200 Union St. S.E. Minneapolis,

More information

Research Article Stability Analysis of Nonlinear Systems with Slope Restricted Nonlinearities

Research Article Stability Analysis of Nonlinear Systems with Slope Restricted Nonlinearities Hindawi Publishing Corporation e Scientific World Journal Volue 214, Article D 27835, 6 pages http://dx.doi.org/1.1155/214/27835 Research Article Stability Analysis of Nonlinear Systes with Slope Restricted

More information

1 Bounding the Margin

1 Bounding the Margin COS 511: Theoretical Machine Learning Lecturer: Rob Schapire Lecture #12 Scribe: Jian Min Si March 14, 2013 1 Bounding the Margin We are continuing the proof of a bound on the generalization error of AdaBoost

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

On Lotka-Volterra Evolution Law

On Lotka-Volterra Evolution Law Advanced Studies in Biology, Vol. 3, 0, no. 4, 6 67 On Lota-Volterra Evolution Law Farruh Muhaedov Faculty of Science, International Islaic University Malaysia P.O. Box, 4, 570, Kuantan, Pahang, Malaysia

More information

Block designs and statistics

Block designs and statistics Bloc designs and statistics Notes for Math 447 May 3, 2011 The ain paraeters of a bloc design are nuber of varieties v, bloc size, nuber of blocs b. A design is built on a set of v eleents. Each eleent

More information

A note on the multiplication of sparse matrices

A note on the multiplication of sparse matrices Cent. Eur. J. Cop. Sci. 41) 2014 1-11 DOI: 10.2478/s13537-014-0201-x Central European Journal of Coputer Science A note on the ultiplication of sparse atrices Research Article Keivan Borna 12, Sohrab Aboozarkhani

More information

Efficient Filter Banks And Interpolators

Efficient Filter Banks And Interpolators Efficient Filter Banks And Interpolators A. G. DEMPSTER AND N. P. MURPHY Departent of Electronic Systes University of Westinster 115 New Cavendish St, London W1M 8JS United Kingdo Abstract: - Graphical

More information

Testing equality of variances for multiple univariate normal populations

Testing equality of variances for multiple univariate normal populations University of Wollongong Research Online Centre for Statistical & Survey Methodology Working Paper Series Faculty of Engineering and Inforation Sciences 0 esting equality of variances for ultiple univariate

More information

Gary J. Balas Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, MN USA

Gary J. Balas Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, MN USA μ-synthesis Gary J. Balas Aerospace Engineering and Mechanics, University of Minnesota, Minneapolis, MN 55455 USA Keywords: Robust control, ultivariable control, linear fractional transforation (LFT),

More information

A note on the realignment criterion

A note on the realignment criterion A note on the realignent criterion Chi-Kwong Li 1, Yiu-Tung Poon and Nung-Sing Sze 3 1 Departent of Matheatics, College of Willia & Mary, Williasburg, VA 3185, USA Departent of Matheatics, Iowa State University,

More information

ON SOME MATRIX INEQUALITIES. Hyun Deok Lee. 1. Introduction Matrix inequalities play an important role in statistical mechanics([1,3,6,7]).

ON SOME MATRIX INEQUALITIES. Hyun Deok Lee. 1. Introduction Matrix inequalities play an important role in statistical mechanics([1,3,6,7]). Korean J. Math. 6 (2008), No. 4, pp. 565 57 ON SOME MATRIX INEQUALITIES Hyun Deok Lee Abstract. In this paper we present soe trace inequalities for positive definite atrices in statistical echanics. In

More information

Multi-Dimensional Hegselmann-Krause Dynamics

Multi-Dimensional Hegselmann-Krause Dynamics Multi-Diensional Hegselann-Krause Dynaics A. Nedić Industrial and Enterprise Systes Engineering Dept. University of Illinois Urbana, IL 680 angelia@illinois.edu B. Touri Coordinated Science Laboratory

More information

On Nonlinear Controllability of Homogeneous Systems Linear in Control

On Nonlinear Controllability of Homogeneous Systems Linear in Control IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 48, NO. 1, JANUARY 2003 139 On Nonlinear Controllability of Hoogeneous Systes Linear in Control Jaes Melody, Taer Başar, and Francesco Bullo Abstract This work

More information

arxiv: v1 [cs.ds] 29 Jan 2012

arxiv: v1 [cs.ds] 29 Jan 2012 A parallel approxiation algorith for ixed packing covering seidefinite progras arxiv:1201.6090v1 [cs.ds] 29 Jan 2012 Rahul Jain National U. Singapore January 28, 2012 Abstract Penghui Yao National U. Singapore

More information

A new robust delay-dependent stability criterion for a class of uncertain systems with delay

A new robust delay-dependent stability criterion for a class of uncertain systems with delay A new robust delay-dependent stability criterion for a class of uncertain systems with delay Fei Hao Long Wang and Tianguang Chu Abstract A new robust delay-dependent stability criterion for a class of

More information

Using EM To Estimate A Probablity Density With A Mixture Of Gaussians

Using EM To Estimate A Probablity Density With A Mixture Of Gaussians Using EM To Estiate A Probablity Density With A Mixture Of Gaussians Aaron A. D Souza adsouza@usc.edu Introduction The proble we are trying to address in this note is siple. Given a set of data points

More information

Support Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization

Support Vector Machine Classification of Uncertain and Imbalanced data using Robust Optimization Recent Researches in Coputer Science Support Vector Machine Classification of Uncertain and Ibalanced data using Robust Optiization RAGHAV PAT, THEODORE B. TRAFALIS, KASH BARKER School of Industrial Engineering

More information

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 54, NO. 5, MAY /$ IEEE

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 54, NO. 5, MAY /$ IEEE IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 54, NO. 5, MAY 2009 1035 TABLE IV COMPARISON OF NUMERICAL SENSITIVITY FROM BOTH APPROACHES as (19), and copute the standard deviation of the values of the corresponding

More information

RECOVERY OF A DENSITY FROM THE EIGENVALUES OF A NONHOMOGENEOUS MEMBRANE

RECOVERY OF A DENSITY FROM THE EIGENVALUES OF A NONHOMOGENEOUS MEMBRANE Proceedings of ICIPE rd International Conference on Inverse Probles in Engineering: Theory and Practice June -8, 999, Port Ludlow, Washington, USA : RECOVERY OF A DENSITY FROM THE EIGENVALUES OF A NONHOMOGENEOUS

More information

AN APPLICATION OF CUBIC B-SPLINE FINITE ELEMENT METHOD FOR THE BURGERS EQUATION

AN APPLICATION OF CUBIC B-SPLINE FINITE ELEMENT METHOD FOR THE BURGERS EQUATION Aksan, E..: An Applıcatıon of Cubıc B-Splıne Fınıte Eleent Method for... THERMAL SCIECE: Year 8, Vol., Suppl., pp. S95-S S95 A APPLICATIO OF CBIC B-SPLIE FIITE ELEMET METHOD FOR THE BRGERS EQATIO by Eine

More information

ON REGULARITY, TRANSITIVITY, AND ERGODIC PRINCIPLE FOR QUADRATIC STOCHASTIC VOLTERRA OPERATORS MANSOOR SABUROV

ON REGULARITY, TRANSITIVITY, AND ERGODIC PRINCIPLE FOR QUADRATIC STOCHASTIC VOLTERRA OPERATORS MANSOOR SABUROV ON REGULARITY TRANSITIVITY AND ERGODIC PRINCIPLE FOR QUADRATIC STOCHASTIC VOLTERRA OPERATORS MANSOOR SABUROV Departent of Coputational & Theoretical Sciences Faculty of Science International Islaic University

More information

Bipartite subgraphs and the smallest eigenvalue

Bipartite subgraphs and the smallest eigenvalue Bipartite subgraphs and the sallest eigenvalue Noga Alon Benny Sudaov Abstract Two results dealing with the relation between the sallest eigenvalue of a graph and its bipartite subgraphs are obtained.

More information

Polygonal Designs: Existence and Construction

Polygonal Designs: Existence and Construction Polygonal Designs: Existence and Construction John Hegean Departent of Matheatics, Stanford University, Stanford, CA 9405 Jeff Langford Departent of Matheatics, Drake University, Des Moines, IA 5011 G

More information

Low complexity bit parallel multiplier for GF(2 m ) generated by equally-spaced trinomials

Low complexity bit parallel multiplier for GF(2 m ) generated by equally-spaced trinomials Inforation Processing Letters 107 008 11 15 www.elsevier.co/locate/ipl Low coplexity bit parallel ultiplier for GF generated by equally-spaced trinoials Haibin Shen a,, Yier Jin a,b a Institute of VLSI

More information

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

A Discrete Iterative Learning Control for a Class of Nonlinear Time-Varying Systems

A Discrete Iterative Learning Control for a Class of Nonlinear Time-Varying Systems 748 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 43, NO. 5, MAY 1998 obtained fro (1) by using the Leibniz Newton forula (t ) = t t _() d: The initial condition for (35) is given by the vector-valued function

More information

Lecture 9 November 23, 2015

Lecture 9 November 23, 2015 CSC244: Discrepancy Theory in Coputer Science Fall 25 Aleksandar Nikolov Lecture 9 Noveber 23, 25 Scribe: Nick Spooner Properties of γ 2 Recall that γ 2 (A) is defined for A R n as follows: γ 2 (A) = in{r(u)

More information

Studying Large Scale System Using Decentralized Control

Studying Large Scale System Using Decentralized Control Studyin Lare Scale Syste Usin Decentralized Control MRHOJJAI, SAKRAMINEJAD, MRAZMDIDEH Mechanic Electronic Institute, Junior Collee of asa, IRAN hojatir@ailco, sakrain@ailco, ahdiehlady@yahooco Abstract:

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

An Improved Particle Filter with Applications in Ballistic Target Tracking

An Improved Particle Filter with Applications in Ballistic Target Tracking Sensors & ransducers Vol. 72 Issue 6 June 204 pp. 96-20 Sensors & ransducers 204 by IFSA Publishing S. L. http://www.sensorsportal.co An Iproved Particle Filter with Applications in Ballistic arget racing

More information

Linear Transformations

Linear Transformations Linear Transforations Hopfield Network Questions Initial Condition Recurrent Layer p S x W S x S b n(t + ) a(t + ) S x S x D a(t) S x S S x S a(0) p a(t + ) satlins (Wa(t) + b) The network output is repeatedly

More information

}, (n 0) be a finite irreducible, discrete time MC. Let S = {1, 2,, m} be its state space. Let P = [p ij. ] be the transition matrix of the MC.

}, (n 0) be a finite irreducible, discrete time MC. Let S = {1, 2,, m} be its state space. Let P = [p ij. ] be the transition matrix of the MC. Abstract Questions are posed regarding the influence that the colun sus of the transition probabilities of a stochastic atrix (with row sus all one) have on the stationary distribution, the ean first passage

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

Feature Extraction Techniques

Feature Extraction Techniques Feature Extraction Techniques Unsupervised Learning II Feature Extraction Unsupervised ethods can also be used to find features which can be useful for categorization. There are unsupervised ethods that

More information

Fast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials

Fast Montgomery-like Square Root Computation over GF(2 m ) for All Trinomials Fast Montgoery-like Square Root Coputation over GF( ) for All Trinoials Yin Li a, Yu Zhang a, a Departent of Coputer Science and Technology, Xinyang Noral University, Henan, P.R.China Abstract This letter

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

3.3 Variational Characterization of Singular Values

3.3 Variational Characterization of Singular Values 3.3. Variational Characterization of Singular Values 61 3.3 Variational Characterization of Singular Values Since the singular values are square roots of the eigenvalues of the Heritian atrices A A and

More information

The Transactional Nature of Quantum Information

The Transactional Nature of Quantum Information The Transactional Nature of Quantu Inforation Subhash Kak Departent of Coputer Science Oklahoa State University Stillwater, OK 7478 ABSTRACT Inforation, in its counications sense, is a transactional property.

More information

a a a a a a a m a b a b

a a a a a a a m a b a b Algebra / Trig Final Exa Study Guide (Fall Seester) Moncada/Dunphy Inforation About the Final Exa The final exa is cuulative, covering Appendix A (A.1-A.5) and Chapter 1. All probles will be ultiple choice

More information

Finding Rightmost Eigenvalues of Large Sparse. Non-symmetric Parameterized Eigenvalue Problems. Abstract. Introduction

Finding Rightmost Eigenvalues of Large Sparse. Non-symmetric Parameterized Eigenvalue Problems. Abstract. Introduction Finding Rightost Eigenvalues of Large Sparse Non-syetric Paraeterized Eigenvalue Probles Applied Matheatics and Scientific Coputation Progra Departent of Matheatics University of Maryland, College Par,

More information

Graphical Models in Local, Asymmetric Multi-Agent Markov Decision Processes

Graphical Models in Local, Asymmetric Multi-Agent Markov Decision Processes Graphical Models in Local, Asyetric Multi-Agent Markov Decision Processes Ditri Dolgov and Edund Durfee Departent of Electrical Engineering and Coputer Science University of Michigan Ann Arbor, MI 48109

More information

Least Squares Fitting of Data

Least Squares Fitting of Data Least Squares Fitting of Data David Eberly, Geoetric Tools, Redond WA 98052 https://www.geoetrictools.co/ This work is licensed under the Creative Coons Attribution 4.0 International License. To view a

More information

Applied Mathematics and Computation

Applied Mathematics and Computation Applied Matheatics and Coputation 8 () 45 4 Contents lists available at SciVerse ScienceDirect Applied Matheatics and Coputation journal hoepage www.elsevier.co/locate/ac Dissipativity analysis for singular

More information

Endowment Structure, Industrialization and Post-industrialization: A Three-Sector Model of Structural Change. Abstract

Endowment Structure, Industrialization and Post-industrialization: A Three-Sector Model of Structural Change. Abstract Endowent Structure, Industrialization Post-industrialization: A Three-Sector Model of Structural Change Justin Lin Zhaoyang Xu China Center for Econoic Research Peing University Deceber 006 (Preliinary

More information

The Simplex Method is Strongly Polynomial for the Markov Decision Problem with a Fixed Discount Rate

The Simplex Method is Strongly Polynomial for the Markov Decision Problem with a Fixed Discount Rate The Siplex Method is Strongly Polynoial for the Markov Decision Proble with a Fixed Discount Rate Yinyu Ye April 20, 2010 Abstract In this note we prove that the classic siplex ethod with the ost-negativereduced-cost

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

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon

Model Fitting. CURM Background Material, Fall 2014 Dr. Doreen De Leon Model Fitting CURM Background Material, Fall 014 Dr. Doreen De Leon 1 Introduction Given a set of data points, we often want to fit a selected odel or type to the data (e.g., we suspect an exponential

More information

Delay-Dependent H 1 Control of Uncertain Discrete Delay Systems

Delay-Dependent H 1 Control of Uncertain Discrete Delay Systems European Journal of Control ():9 # EUCA Delay-Dependent H Control of Uncertain Discrete Delay Systems E. Fridman and U. Shaked Department of Electrical Engineering-Systems Tel-Aviv University Tel-Aviv

More information

Physics 139B Solutions to Homework Set 3 Fall 2009

Physics 139B Solutions to Homework Set 3 Fall 2009 Physics 139B Solutions to Hoework Set 3 Fall 009 1. Consider a particle of ass attached to a rigid assless rod of fixed length R whose other end is fixed at the origin. The rod is free to rotate about

More information

The Methods of Solution for Constrained Nonlinear Programming

The Methods of Solution for Constrained Nonlinear Programming Research Inventy: International Journal Of Engineering And Science Vol.4, Issue 3(March 2014), PP 01-06 Issn (e): 2278-4721, Issn (p):2319-6483, www.researchinventy.co The Methods of Solution for Constrained

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

Physics 215 Winter The Density Matrix

Physics 215 Winter The Density Matrix Physics 215 Winter 2018 The Density Matrix The quantu space of states is a Hilbert space H. Any state vector ψ H is a pure state. Since any linear cobination of eleents of H are also an eleent of H, it

More information

Interactive Markov Models of Evolutionary Algorithms

Interactive Markov Models of Evolutionary Algorithms Cleveland State University EngagedScholarship@CSU Electrical Engineering & Coputer Science Faculty Publications Electrical Engineering & Coputer Science Departent 2015 Interactive Markov Models of Evolutionary

More information

The proofs of Theorem 1-3 are along the lines of Wied and Galeano (2013).

The proofs of Theorem 1-3 are along the lines of Wied and Galeano (2013). A Appendix: Proofs The proofs of Theore 1-3 are along the lines of Wied and Galeano (2013) Proof of Theore 1 Let D[d 1, d 2 ] be the space of càdlàg functions on the interval [d 1, d 2 ] equipped with

More information

Fairness via priority scheduling

Fairness via priority scheduling Fairness via priority scheduling Veeraruna Kavitha, N Heachandra and Debayan Das IEOR, IIT Bobay, Mubai, 400076, India vavitha,nh,debayan}@iitbacin Abstract In the context of ulti-agent resource allocation

More information

Four-vector, Dirac spinor representation and Lorentz Transformations

Four-vector, Dirac spinor representation and Lorentz Transformations Available online at www.pelagiaresearchlibrary.co Advances in Applied Science Research, 2012, 3 (2):749-756 Four-vector, Dirac spinor representation and Lorentz Transforations S. B. Khasare 1, J. N. Rateke

More information

The Distribution of the Covariance Matrix for a Subset of Elliptical Distributions with Extension to Two Kurtosis Parameters

The Distribution of the Covariance Matrix for a Subset of Elliptical Distributions with Extension to Two Kurtosis Parameters journal of ultivariate analysis 58, 96106 (1996) article no. 0041 The Distribution of the Covariance Matrix for a Subset of Elliptical Distributions with Extension to Two Kurtosis Paraeters H. S. Steyn

More information

The Fundamental Basis Theorem of Geometry from an algebraic point of view

The Fundamental Basis Theorem of Geometry from an algebraic point of view Journal of Physics: Conference Series PAPER OPEN ACCESS The Fundaental Basis Theore of Geoetry fro an algebraic point of view To cite this article: U Bekbaev 2017 J Phys: Conf Ser 819 012013 View the article

More information

DERIVING PROPER UNIFORM PRIORS FOR REGRESSION COEFFICIENTS

DERIVING PROPER UNIFORM PRIORS FOR REGRESSION COEFFICIENTS DERIVING PROPER UNIFORM PRIORS FOR REGRESSION COEFFICIENTS N. van Erp and P. van Gelder Structural Hydraulic and Probabilistic Design, TU Delft Delft, The Netherlands Abstract. In probles of odel coparison

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

Linear Algebra (I) Yijia Chen. linear transformations and their algebraic properties. 1. A Starting Point. y := 3x.

Linear Algebra (I) Yijia Chen. linear transformations and their algebraic properties. 1. A Starting Point. y := 3x. Linear Algebra I) Yijia Chen Linear algebra studies Exaple.. Consider the function This is a linear function f : R R. linear transforations and their algebraic properties.. A Starting Point y := 3x. Geoetrically

More information

Research Article On the Isolated Vertices and Connectivity in Random Intersection Graphs

Research Article On the Isolated Vertices and Connectivity in Random Intersection Graphs International Cobinatorics Volue 2011, Article ID 872703, 9 pages doi:10.1155/2011/872703 Research Article On the Isolated Vertices and Connectivity in Rando Intersection Graphs Yilun Shang Institute for

More information

ROBUST OBSERVER DESIGN FOR TIME-DELAY SYSTEMS: A RICCATI EQUATION APPROACH

ROBUST OBSERVER DESIGN FOR TIME-DELAY SYSTEMS: A RICCATI EQUATION APPROACH KYBERNETIKA VOLUME 35 (1999), NUMBER 6, PAGES 753-764 ROBUST OBSERVER DESIGN FOR TIME-DELAY SYSTEMS: A RICCATI EQUATION APPROACH ANAS FATTOUH, OLIVIER SENAME AND JEAN-MICHEL DION In this paper, a ethod

More information

Chaotic Coupled Map Lattices

Chaotic Coupled Map Lattices Chaotic Coupled Map Lattices Author: Dustin Keys Advisors: Dr. Robert Indik, Dr. Kevin Lin 1 Introduction When a syste of chaotic aps is coupled in a way that allows the to share inforation about each

More information

EE5900 Spring Lecture 4 IC interconnect modeling methods Zhuo Feng

EE5900 Spring Lecture 4 IC interconnect modeling methods Zhuo Feng EE59 Spring Parallel LSI AD Algoriths Lecture I interconnect odeling ethods Zhuo Feng. Z. Feng MTU EE59 So far we ve considered only tie doain analyses We ll soon see that it is soeties preferable to odel

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and This article appeared in a ournal published by Elsevier. The attached copy is furnished to the author for internal non-coercial research and education use, including for instruction at the authors institution

More information

arxiv: v1 [cs.ds] 3 Feb 2014

arxiv: v1 [cs.ds] 3 Feb 2014 arxiv:40.043v [cs.ds] 3 Feb 04 A Bound on the Expected Optiality of Rando Feasible Solutions to Cobinatorial Optiization Probles Evan A. Sultani The Johns Hopins University APL evan@sultani.co http://www.sultani.co/

More information

Reduced Length Checking Sequences

Reduced Length Checking Sequences Reduced Length Checing Sequences Robert M. Hierons 1 and Hasan Ural 2 1 Departent of Inforation Systes and Coputing, Brunel University, Middlesex, UB8 3PH, United Kingdo 2 School of Inforation echnology

More information

ON THE ROBUST STABILITY OF NEUTRAL SYSTEMS WITH TIME-VARYING DELAYS

ON THE ROBUST STABILITY OF NEUTRAL SYSTEMS WITH TIME-VARYING DELAYS ON THE ROBUST STABILITY OF NEUTRAL SYSTEMS WITH TIME-VARYING DELAYS V. J. S. Leite P. L. D. Peres E. B. Castelan S. Tarbouriech UnED Divinópolis CEFET-MG R. Monte Santo, 319 35502-036, Divinópolis - MG

More information

A Fast Algorithm for the Spread of HIV in a System of Prisons

A Fast Algorithm for the Spread of HIV in a System of Prisons A Fast Algorith for the Spread of HIV in a Syste of Prisons Wai-Ki Ching Yang Cong Tuen-Wai Ng Allen H Tai Abstract In this paper, we propose a continuous tie odel for odeling the spread of HIV in a network

More information

INNER CONSTRAINTS FOR A 3-D SURVEY NETWORK

INNER CONSTRAINTS FOR A 3-D SURVEY NETWORK eospatial Science INNER CONSRAINS FOR A 3-D SURVEY NEWORK hese notes follow closely the developent of inner constraint equations by Dr Willie an, Departent of Building, School of Design and Environent,

More information

Constructing Locally Best Invariant Tests of the Linear Regression Model Using the Density Function of a Maximal Invariant

Constructing Locally Best Invariant Tests of the Linear Regression Model Using the Density Function of a Maximal Invariant Aerican Journal of Matheatics and Statistics 03, 3(): 45-5 DOI: 0.593/j.ajs.03030.07 Constructing Locally Best Invariant Tests of the Linear Regression Model Using the Density Function of a Maxial Invariant

More information

Filter Design for Linear Time Delay Systems

Filter Design for Linear Time Delay Systems IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 49, NO. 11, NOVEMBER 2001 2839 ANewH Filter Design for Linear Time Delay Systems E. Fridman Uri Shaked, Fellow, IEEE Abstract A new delay-dependent filtering

More information

Pattern Recognition and Machine Learning. Learning and Evaluation for Pattern Recognition

Pattern Recognition and Machine Learning. Learning and Evaluation for Pattern Recognition Pattern Recognition and Machine Learning Jaes L. Crowley ENSIMAG 3 - MMIS Fall Seester 2017 Lesson 1 4 October 2017 Outline Learning and Evaluation for Pattern Recognition Notation...2 1. The Pattern Recognition

More information

Mathematical Models to Determine Stable Behavior of Complex Systems

Mathematical Models to Determine Stable Behavior of Complex Systems Journal of Physics: Conference Series PAPER OPEN ACCESS Matheatical Models to Deterine Stable Behavior of Coplex Systes To cite this article: V I Suin et al 08 J. Phys.: Conf. Ser. 05 0336 View the article

More information

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices

13.2 Fully Polynomial Randomized Approximation Scheme for Permanent of Random 0-1 Matrices CS71 Randoness & Coputation Spring 018 Instructor: Alistair Sinclair Lecture 13: February 7 Disclaier: These notes have not been subjected to the usual scrutiny accorded to foral publications. They ay

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

Study on Markov Alternative Renewal Reward. Process for VLSI Cell Partitioning

Study on Markov Alternative Renewal Reward. Process for VLSI Cell Partitioning Int. Journal of Math. Analysis, Vol. 7, 2013, no. 40, 1949-1960 HIKARI Ltd, www.-hikari.co http://dx.doi.org/10.12988/ia.2013.36142 Study on Markov Alternative Renewal Reward Process for VLSI Cell Partitioning

More information

RESTARTED FULL ORTHOGONALIZATION METHOD FOR SHIFTED LINEAR SYSTEMS

RESTARTED FULL ORTHOGONALIZATION METHOD FOR SHIFTED LINEAR SYSTEMS BIT Nuerical Matheatics 43: 459 466, 2003. 2003 Kluwer Acadeic Publishers. Printed in The Netherlands 459 RESTARTED FULL ORTHOGONALIZATION METHOD FOR SHIFTED LINEAR SYSTEMS V. SIMONCINI Dipartiento di

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

Active structural elements within a general vibration control framework

Active structural elements within a general vibration control framework Active structural eleents within a general vibration control fraewor Jan Holteran Theo J.A. de Vries presented at the st IFAC Conference on Mechatronic Systes Mechatronics Darstadt, Gerany, 8- Septeber

More information

Lecture 13 Eigenvalue Problems

Lecture 13 Eigenvalue Problems Lecture 13 Eigenvalue Probles MIT 18.335J / 6.337J Introduction to Nuerical Methods Per-Olof Persson October 24, 2006 1 The Eigenvalue Decoposition Eigenvalue proble for atrix A: Ax = λx with eigenvalues

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

A Model for the Selection of Internet Service Providers

A Model for the Selection of Internet Service Providers ISSN 0146-4116, Autoatic Control and Coputer Sciences, 2008, Vol. 42, No. 5, pp. 249 254. Allerton Press, Inc., 2008. Original Russian Text I.M. Aliev, 2008, published in Avtoatika i Vychislitel naya Tekhnika,

More information

Reed-Muller Codes. m r inductive definition. Later, we shall explain how to construct Reed-Muller codes using the Kronecker product.

Reed-Muller Codes. m r inductive definition. Later, we shall explain how to construct Reed-Muller codes using the Kronecker product. Coding Theory Massoud Malek Reed-Muller Codes An iportant class of linear block codes rich in algebraic and geoetric structure is the class of Reed-Muller codes, which includes the Extended Haing code.

More information

New Classes of Positive Semi-Definite Hankel Tensors

New Classes of Positive Semi-Definite Hankel Tensors Miniax Theory and its Applications Volue 017, No., 1 xxx New Classes of Positive Sei-Definite Hankel Tensors Qun Wang Dept. of Applied Matheatics, The Hong Kong Polytechnic University, Hung Ho, Kowloon,

More information

In this chapter, we consider several graph-theoretic and probabilistic models

In this chapter, we consider several graph-theoretic and probabilistic models THREE ONE GRAPH-THEORETIC AND STATISTICAL MODELS 3.1 INTRODUCTION In this chapter, we consider several graph-theoretic and probabilistic odels for a social network, which we do under different assuptions

More information

On Conditions for Linearity of Optimal Estimation

On Conditions for Linearity of Optimal Estimation On Conditions for Linearity of Optial Estiation Erah Akyol, Kuar Viswanatha and Kenneth Rose {eakyol, kuar, rose}@ece.ucsb.edu Departent of Electrical and Coputer Engineering University of California at

More information

NORMAL MATRIX POLYNOMIALS WITH NONSINGULAR LEADING COEFFICIENTS

NORMAL MATRIX POLYNOMIALS WITH NONSINGULAR LEADING COEFFICIENTS NORMAL MATRIX POLYNOMIALS WITH NONSINGULAR LEADING COEFFICIENTS NIKOLAOS PAPATHANASIOU AND PANAYIOTIS PSARRAKOS Abstract. In this paper, we introduce the notions of weakly noral and noral atrix polynoials,

More information

LONG-TERM PREDICTIVE VALUE INTERVAL WITH THE FUZZY TIME SERIES

LONG-TERM PREDICTIVE VALUE INTERVAL WITH THE FUZZY TIME SERIES Journal of Marine Science and Technology, Vol 19, No 5, pp 509-513 (2011) 509 LONG-TERM PREDICTIVE VALUE INTERVAL WITH THE FUZZY TIME SERIES Ming-Tao Chou* Key words: fuzzy tie series, fuzzy forecasting,

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

A Note on the Applied Use of MDL Approximations

A Note on the Applied Use of MDL Approximations A Note on the Applied Use of MDL Approxiations Daniel J. Navarro Departent of Psychology Ohio State University Abstract An applied proble is discussed in which two nested psychological odels of retention

More information

Pattern Recognition and Machine Learning. Artificial Neural networks

Pattern Recognition and Machine Learning. Artificial Neural networks Pattern Recognition and Machine Learning Jaes L. Crowley ENSIMAG 3 - MMIS Fall Seester 2017 Lessons 7 20 Dec 2017 Outline Artificial Neural networks Notation...2 Introduction...3 Key Equations... 3 Artificial

More information