scholarly journals $H_{\infty}$ Controller Design for Singular Stochastic Markovian Jump System With Time-Varying Delay

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 147883-147891 ◽  
Author(s):  
Yuanhua Du ◽  
Yuqian Zhou ◽  
Kaibo Shi ◽  
Yaoru Yang
2019 ◽  
Vol 42 (7) ◽  
pp. 1313-1322
Author(s):  
Nuo Xu ◽  
Liankun Sun

In this paper, based on time-varying delay Markovian jump system (MJS), Bessel-Legendre inequality method and improved positive definite condition of Lyapunov function are used, and parallel distributed compensation (PDC) state feedback controller is also introduced. The conservatism of the system is reduced by using this inequality method and positive definite conditions, and further decreases with the increase of the Legendre parameter N. The PDC controller considers two control parameters simultaneously, which can represent the actual system more truthfully. Finally, Example 1 proves the effectiveness of the improved method in this paper. Example 2 considers time-varying probability transition perturbations. Example 3 obtains the parameters of PDC controller with different parameters N. Example 4 illustrates the practical significance of methods in this paper by introducing a time-delay inverted pendulum system with Markovian parameters.


2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Fangqing Ding ◽  
Xianfa Jiao

This paper investigates exponential stability in mean square of singular Markovian jump systems with saturating actuators and time-varying delay. The statistical property of the Markov process is fully used to derive the differential of the function. By using a delay decomposition method, a mode-dependent Lyapunov-Krasovskii function is established. A sufficient condition is proposed for exponential stability in mean square of the system designing the memoryless state feedback. A numerical example shows that the approach proposed is effective.


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