Title :
Robust energy-to-peak filtering for Markov systems with interval time-delay
Author :
Lei Wang ; Ying Zhang ; Rui Zhang
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
Abstract :
The energy-to-peak filtering problem of Markov jump systems with interval time-varying delay is investigated in this note. The proposed method in dealing with time-delay incorporates a mode-dependent Lyapunov functional and a precise upper estimation for a combination of positive-definite matrices with reciprocal coefficients. A novel sufficient condition for the solvability of the desired mode-dependent filter can be constructed by solving a set of standard LMIs, which guarantees stochastic stability and a prescribed l2-l∞ disturbance attenuation level of the resulting filtering error system. An illustrative example is provided to demonstrate the effectiveness of the proposed method.
Keywords :
Lyapunov methods; Markov processes; computability; delays; filters; linear matrix inequalities; time-varying systems; Markov jump systems; Markov systems; energy-to-peak filtering problem; filtering error system; interval time-delay; interval time-varying delay; mode-dependent Lyapunov functional; mode-dependent filter; positive-definite matrices; solvability; standard LMI; stochastic stability; Attenuation; Delays; Linear matrix inequalities; Markov processes; Noise; Robustness; Stability analysis; Energy-to-peak filtering; LMI; reciprocal coefficients;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720389