Title :
Uniform stabilization of Markovian jump linear systems with logarithmic quantization - A convex approach
Author :
Zhang, Chun ; Dullerud, Geir E.
Author_Institution :
Cisco Syst., Inc., Research Triangle Park, NC, USA
Abstract :
In this paper, we investigate the almost sure uniform exponential stabilization problem of Markovian jump linear systems (MJLSs) with logarithmically quantized state feedbacks. We introduce the concept and provide explicit constructions of finite path-dependent stabilizing logarithmic quantizers and controllers. We also present a semi-convex algorithm to determine the optimal (coarsest) stabilizing quantization density. As an example, we show that the problem of almost sure uniform stabilization of a linear time-invariant (LTI) system with quantized feedbacks over a lossy channel can be tackled under this framework. A contribution of this work is to provide a systematic approach to simultaneously treat multiple channel constraints in the feedback loop.
Keywords :
Markov processes; convex programming; linear systems; quantisation (signal); stability; Markovian jump linear systems; controllers; feedback loop; finite path-dependent stabilizing logarithmic quantizers; linear time-invariant system; logarithmic quantization; logarithmically quantized state feedbacks; lossy channel; multiple channel constraints; optimal stabilizing quantization density; semi-convex algorithm; uniform exponential stabilization; Bandwidth; Communication system control; Computer networks; Control systems; Feedback loop; Linear systems; Quantization; Stability; State feedback; Wireless communication;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400361