Checking dissipativity of linear behavior systems given in kernel representation
Original Article
First Online:
Received:
Accepted:
- 110 Downloads
- 6 Citations
Abstract
The behavior approach and the problem of dissipativity have both been introduced and studied extensively by Willems and others. Current methods to check dissipativity will either check the solvability of a linear matrix inequality or rely on symbolic computations with image representations via computer algebra packages. We will discuss a new characterization for linear behavior systems in kernel representation that allows to check dissipativity via the solution of structured eigenvalue problems. The complexity and efficiency of our new method will be compared to the existing methods.
Keywords
Popov function Dissipativity Behavioral approach Frequency-domain Para-HermitianPreview
Unable to display preview. Download preview PDF.
References
- 1.Antoulas AC (2005) Approximation of large-scale dynamical systems. SIAM Publications, PhiladelphiaMATHCrossRefGoogle Scholar
- 2.Balas G, Chiang R, Packard A, Safonov M (2010) Robust control toolboxTM3. MATLAB user’s guide, The MathWorks, IncGoogle Scholar
- 3.Boyd S, Balakrishnan V, Kabamba P (1989) A bisection method for computing the H ∞ norm of a transfer matrix and related problems. Math. Control Signals Syst 2: 207–219MathSciNetMATHCrossRefGoogle Scholar
- 4.Boyd S, Ghaoui LE, Feron E, Balakrishnan V (1994) Linear matrix inequalities in system and control theory. SIAM Publications, PhiladelphiaMATHCrossRefGoogle Scholar
- 5.Brüll T (2010) Checking dissipativity of behavioral systems using para-hermitian matrix polynomials. Preprint 683, MATHEON Preprint. Extended version of the present paper. http://www.matheon.de/research/list_preprints.asp
- 6.Brüll T, Mehrmann V (2007) STCSSP: A FORTRAN 77 routine to compute a structured staircase form for a (skew-) symmetric / (skew-) symmetric matrix pencil. Preprint 31–2007, Institut für Mathematik, TU Berlin. http://www.math.tu-berlin.de/preprints/
- 7.Byers R, Mehrmann V, Xu H (2007) A structured staircase algorithm for skew-symmetric/ symmetric pencils. Electron Trans Numer Anal 26: 1–33MathSciNetMATHGoogle Scholar
- 8.Chu C, Wong N (2006) A fast passivity test for descriptor systems via structure-preserving transformations of skew-Hamiltonian/Hamiltonian matrix pencils. In: Design automation conference, 2006 43rd ACM/IEEE, pp 261–266. doi: 10.1109/DAC.2006.229221
- 9.Demmel J, Kågström B (1993) The generalized Schur decomposition of an arbitrary pencil A—zB: robust software with error bounds and applications. Part I and II. ACM Trans Math Softw 19(2): 160–201MATHCrossRefGoogle Scholar
- 10.van der Geest R, Trentelman H (1997) The Kalman–Yakubovich–Popov lemma in a behavioral framework. Syst Control Lett 32(5): 283–290MATHCrossRefGoogle Scholar
- 11.Golub GH, Loan CFV (1996) Matrix computations, 3rd edn. The Johns Hopkins University Press, BaltimoreMATHGoogle Scholar
- 12.Löfberg J (2011) YALMIP release R20110314. Downloaded from http://users.isy.liu.se/johanl/yalmip/
- 13.MATLAB (2010) Version 7.11.0 (R2010b)Google Scholar
- 14.Mehrmann V, Schröder C, Simoncini V (2009) An implicitly-restarted Krylov method for real symmetric/skew-symmetric eigenproblems. Preprint 591, MATHEON Preprint. http://www.matheon.de/research/list_preprints.asp
- 15.Polderman JW, Willems JC (1998) Introduction to mathematical systems theory: a behavioral approach. Springer, BerlinGoogle Scholar
- 16.Polik I, Romanko O (2010) SeDuMi version 1.3. Downloaded from http://sedumi.ie.lehigh.edu/
- 17.Poppe L, Schröder C, Thies I (2009) PEPACK: a software package for computing the numerical solution of palindromic and even eigenvalue problems using the pencil laub trick. Preprint 22–2009, Institut für Mathematik, TU Berlin. http://www.math.tu-berlin.de/preprints/
- 18.Rapisarda P, Willems JC (1997) State maps for linear systems. SIAM J Control Optim 35(3): 1053–1091MathSciNetMATHCrossRefGoogle Scholar
- 19.Shankar S (1999) The Nullstellensatz for systems of PDE. Adv Appl Math 23(4): 360–374MathSciNetMATHCrossRefGoogle Scholar
- 20.Toh KC, Todd MJ, Tutuncu RH (2009) SDPT3 version 4.0—a MATLAB software for semidefinite-quadratic-linear programming. Downloaded from http://www.math.nus.edu.sg/~mattohkc/sdpt3.html
- 21.Trentelman HL, Willems JC (1997) Every storage function is a state function. Syst Control Lett 32: 249–259MathSciNetMATHCrossRefGoogle Scholar
- 22.Vandenberghe L, Boyd S (1995) A primal-dual potential reduction method for problems involving matrix inequalities. Math Program 69: 205–236MathSciNetMATHGoogle Scholar
- 23.Willems JC (1972a) Dissipative dynamical systems, part I: general theory. Arch Ration Mech Anal 45: 321–351MathSciNetMATHCrossRefGoogle Scholar
- 24.Willems JC (1972b) Dissipative dynamical systems, part II: Linear systems with quadratic supply rates. Arch Ration Mech Anal 45: 352–393MathSciNetMATHCrossRefGoogle Scholar
- 25.Willems JC (1991) Paradigams and puzzles in the theory of dynamical systems. IEEE Trans Autom Control 36(3): 259–294MathSciNetMATHCrossRefGoogle Scholar
- 26.Willems JC, Trentelman HL (1998) On quadratic differential forms. SIAM J Control Optim 36(5): 1703–1749MathSciNetMATHCrossRefGoogle Scholar
- 27.Youla DC (1961) On the factorization of rational matrices. IRE Trans Inf Theory 7(3): 172–189CrossRefGoogle Scholar
Copyright information
© Springer-Verlag London Limited 2011