Discrete-time dual switching linear systems are piecewise linear systems subject to both stochastic and deterministic commutations. Stochastic jumps, well-suited to account for unpredictable events like faults or abrupt changes in the parameters, are modeled by means of a Markov chain. The deterministic switches are dictated by a scheduling signal, used as a control variable in order to achieve stochastic stability and guaranteed input/output performance. We derive sufficient conditions for the existence of a state-feedback switching law attaining these goals. Further, the more challenging co-design problem is addressed, namely the joint synthesis of a linear state-feedback controller and a stabilizing switching strategy ensuring a prescribed performance. The results are illustrated by means of a numerical example concerning a networked control system under occasional communication failures. © 2016 Elsevier Ltd. All rights reserved.

Design of stabilizing strategies for discrete-time dual switching linear systems

DE NICOLAO, GIUSEPPE
2016-01-01

Abstract

Discrete-time dual switching linear systems are piecewise linear systems subject to both stochastic and deterministic commutations. Stochastic jumps, well-suited to account for unpredictable events like faults or abrupt changes in the parameters, are modeled by means of a Markov chain. The deterministic switches are dictated by a scheduling signal, used as a control variable in order to achieve stochastic stability and guaranteed input/output performance. We derive sufficient conditions for the existence of a state-feedback switching law attaining these goals. Further, the more challenging co-design problem is addressed, namely the joint synthesis of a linear state-feedback controller and a stabilizing switching strategy ensuring a prescribed performance. The results are illustrated by means of a numerical example concerning a networked control system under occasional communication failures. © 2016 Elsevier Ltd. All rights reserved.
2016
Engineering Mathematics covers resources on applied mathematics, mathematical modelling, combinatorics, optimization techniques, numerical methods, and statistical methods that have an emphasis on engineering systems.
Esperti anonimi
Inglese
Internazionale
STAMPA
69
93
100
8
Convergence of numerical methods; Feedback; Linear systems; Markov processes; Piecewise linear techniques; State feedback; Stochastic systems; Switching, Communication failure; H<sub>2</sub> performance; Linear state feedback; Markov jump linear systems; Networked controls; Piece-wise linear systems; Prescribed performance; Switching linear systems, Networked control systems; Dual switching; H2 performance; H∞ performance; Markov Jump Linear Systems; Networked control; Stability
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961838976&doi=10.1016%2fj.automatica.2016.02.032&partnerID=40&md5=188988bb15a48df0aa8f7eddd0040070
no
3
info:eu-repo/semantics/article
262
Bolzern, P.; Colaneri, ; DE NICOLAO, Giuseppe
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1184071
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