Distributed non-fragile stabilization of large-scale systems with random controller failure
Autor: | Juntong Chen, Dan Zhang, Rongyao Ling |
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Rok vydání: | 2016 |
Předmět: |
Lyapunov stability
0209 industrial biotechnology Scale (ratio) Computer science Cognitive Neuroscience Pendulum Linear matrix inequality 02 engineering and technology Sense (electronics) Computer Science Applications Set (abstract data type) 020901 industrial engineering & automation Artificial Intelligence Control theory Stability theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Random variable |
Zdroj: | Neurocomputing. 173:2033-2038 |
ISSN: | 0925-2312 |
DOI: | 10.1016/j.neucom.2015.09.015 |
Popis: | This paper is concerned with the distributed stabilization of large-scale systems with gain variation and controller failure. The so-called distributed non-fragile control problem is firstly studied and a set of random variables are introduced to model the controller failure phenomenon. Based on the Lyapunov stability theory and some stochastic system analysis method, a sufficient condition is obtained such that the closed-loop system is asymptotically stable in the mean-square sense and achieves a prescribed H ∞ performance level. A simulation study on the interconnected inverted pendulums is given to show the effectiveness of the proposed controller design method. |
Databáze: | OpenAIRE |
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