DocumentCode :
1666386
Title :
Analysis and synthesization for a class of discrete-time Markovian jumping systems with mode-dependent delays and actuators saturation
Author :
Weike Shang ; Yu Kang ; Xin Wang ; Hongsheng Xi
Author_Institution :
Dept. of Auto, Univ. of Sci. & Technol. of China(USTC), Hefei, China
fYear :
2012
Firstpage :
1761
Lastpage :
1766
Abstract :
A class of discrete-time Markovian jumping systems with mode-dependent delays and actuators saturation is investigated in this paper. Sufficient conditions for local stochastic stability is presented, and an estimate of domain of attraction in mean square (DOAMS for short) is provided for the systems. Controller design problems for both mode-dependent and mode-independent cases are considered. A globally convergent algorithm including convex optimization is given to construct corresponding effective controllers. Finally, a numerical example is presented to show the effectiveness of the results.
Keywords :
Markov processes; actuators; control system analysis; control system synthesis; convergence; convex programming; delays; discrete time systems; stability; stochastic systems; DOAMS; actuator saturation; control analysis; control synthesis; controller design problem; convex optimization; discrete-time Markovian jumping system; domain of attraction in mean square; globally convergent algorithm; local stochastic stability; mode-dependent case; mode-dependent delay; mode-independent case; sufficient condition; Adaptive control; Control systems; Delays; Lyapunov methods; Optimization; Shape; Symmetric matrices; Markovian jumping systems; actuators saturation; domain of attraction in mean square; strongly stochastic stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
Type :
conf
DOI :
10.1109/ICARCV.2012.6485416
Filename :
6485416
Link To Document :
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