Title :
Stabilizing dynamic feedback design of quasi-polynomial systems using their underlying reduced linear dynamics
Author :
Magyar, Attila ; Hangos, Katalin M. ; Szederkenyi, Gabor
Author_Institution :
Fac. of Electr. Eng. & Inf. Syst., Univ. of Pannonia, Veszprem, Hungary
Abstract :
Based on the underlying dynamically similar linear system of a quasi-polynomial (QP) system [7], a dynamic feedback controller for single input QP systems is proposed in this work that can locally stabilize the closed-loop system using a pre-defined quadratic control Lyapunov function. Since the parameter matrix of the dynamically similar reduced linear dynamics depends linearly on the feedback gain parameters, the controller can be designed by solving LMIs. Conditions for extending the controller design for obtaining a globally stable closed-loop system are also investigated.
Keywords :
Lyapunov methods; closed loop systems; control system synthesis; feedback; linear matrix inequalities; linear systems; stability; LMI; closed-loop system stabilization; dynamic feedback design stabilization; feedback gain parameters; globally stable closed-loop system; linear system; parameter matrix; quadratic control Lyapunov function; quasipolynomial systems; reduced linear dynamics; single input QP systems; Closed loop systems; Equations; Lyapunov methods; Mathematical model; Matrix decomposition; Stability analysis; Symmetric matrices;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6759953