H control for time-delay systems with randomly occurring nonlinearities subject to sensor saturations, missing measurements and channel fadings

2018 ◽  
Vol 75 ◽  
pp. 38-51 ◽  
Author(s):  
Huihui Ji ◽  
He Zhang ◽  
Chenlong Li ◽  
Tian Senping ◽  
Junwei Lu ◽  
...  
2012 ◽  
Vol 31 (5) ◽  
pp. 1677-1697 ◽  
Author(s):  
Zhengrong Xiang ◽  
Changyu Liang ◽  
Magdi S. Mahmoud

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Yushun Tan ◽  
Qiong Qi ◽  
Jinliang Liu

This paper is concerned with the state estimation problem for a class of time-delay systems with Markovian jump parameters and missing measurements, considering the fact that data missing may occur in the process of transmission and its failure rates are governed by random variables satisfying certain probabilistic distribution. By employing a new Lyapunov function and using the convexity property of the matrix inequality, a sufficient condition for the existence of the desired state estimator for Markovian jump systems with missing measurements can be achieved by solving some linear matrix inequalities, which can be easily facilitated by using the standard numerical software. Furthermore, the gain of state estimator can also be derived based on the known conditions. Finally, a numerical example is exploited to demonstrate the effectiveness of the proposed method.


2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Jiwei Wen ◽  
Li Peng

TheH∞dynamic output feedback control problem for a class of discrete-time switched time-delay systems under asynchronous switching is investigated in this paper. Sensor nonlinearity and missing measurements are considered when collecting output knowledge of the system. Firstly, when there exists asynchronous switching between the switching modes and the candidate controllers, new results on the regional stability andl2gain analysis for the underlying system are given by allowing the Lyapunov-like function (LLF) to increase with a random probability. Then, a mean square stabilizing output feedback controller and a switching law subject to average dwell time (ADT) are obtained with a given disturbance attenuation level. Moreover, the mean square domain of attraction could be estimated by a convex combination of a set of ellipsoids, the number of which depends on the number of switching modes. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.


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