State feedback stabilization for networked control systems with partly unknown transition probabilities
| Autor: | Zuxin Li, Sisi Hong, Huiying Chen, Feifei Wang, Yanfeng Wang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Markov chain Markov process 020207 software engineering 02 engineering and technology State (functional analysis) Networked control system symbols.namesake Matrix (mathematics) 020901 industrial engineering & automation Control theory Control system 0202 electrical engineering electronic engineering information engineering symbols Actuator Mathematics |
| Zdroj: | 2017 36th Chinese Control Conference (CCC). |
| DOI: | 10.23919/chicc.2017.8028556 |
| Popis: | This paper deals with the state feedback stabilization problem of networked control systems (NCSs). The time-delay from sensor to controller (S-C) and time-delay from sensor to actuator (C-A) are both considered which are modeled as finite state Markov chains. The transition probabilities of S-C delay and C-A delay are both assumed to be partly unknown. First, the closed-loop system model which contains two Markov chains is obtained by means of state augmentation technique. Next, the sufficient and necessary conditions on the existence of the stabilizing controller is established in terms of matrix inequalities. The method of calculating the controller gain matrix is also presented. Finally, one numerical example is employed to illustrate the effectiveness of the proposed method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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