An Event-Based Asynchronous Approach to Markov Jump Systems With Hidden Mode Detections and Missing Measurements

2019 ◽  
Vol 49 (9) ◽  
pp. 1749-1758 ◽  
Author(s):  
Jun Cheng ◽  
Choon Ki Ahn ◽  
Hamid Reza Karimi ◽  
Jinde Cao ◽  
Wenhai Qi
2016 ◽  
Vol 190 ◽  
pp. 165-171 ◽  
Author(s):  
Anke Xue ◽  
Huijiao Wang ◽  
Renquan Lu

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Jia You ◽  
Shen Yin ◽  
Hamid Reza Karimi

This paper addresses theℋ∞filtering problem for time-delayed Markov jump systems (MJSs) with intermittent measurements. Within network environment, missing measurements are taken into account, since the communication channel is supposed to be imperfect. A Bernoulli process is utilized to describe the phenomenon of the missing measurements. The original system is transformed into an input-output form consisting of two interconnected subsystems. Based on scaled small gain (SSG) theorem and proposed Lyapunov-Krasovskii functional (LKF), the scaled small gains of the subsystems are analyzed, respectively. New conditions for the existence of theℋ∞filters are established, and the correspondingℋ∞filter design scheme is proposed. Finally, a simulation example is provided to demonstrate the effectiveness of the proposed approach.


2017 ◽  
Vol 354 (14) ◽  
pp. 6170-6189 ◽  
Author(s):  
Huijiao Wang ◽  
Anke Xue ◽  
Junhong Wang ◽  
Renquan Lu

Sign in / Sign up

Export Citation Format

Share Document