NDLI: Random stabilization of sampled-data control systems with nonuniform sampling

Content Provider	Springer Nature Link
Author	Tang, Bin Zeng, Qi Jie He, De Feng Zhang, Yun
Copyright Year	2012
Abstract	For a sampled-data control system with nonuniform sampling, the sampling interval sequence, which is continuously distributed in a given interval, is described as a multiple independent and identically distributed (i.i.d.) process. With this process, the closed-loop system is transformed into an asynchronous dynamical impulsive model with input delays. Sufficient conditions for the closed-loop mean-square exponential stability are presented in terms of linear matrix inequalities (LMIs), in which the relation between the nonuniform sampling and the mean-square exponential stability of the closed-loop system is explicitly established. Based on the stability conditions, the controller design method is given, which is further formulated as a convex optimization problem with LMI constraints. Numerical examples and experiment results are given to show the effectiveness and the advantages of the theoretical results.
Starting Page	492
Ending Page	500
Page Count	9
File Format	PDF
ISSN	14768186
Journal	International Journal of Automation and Computing
Volume Number	9
Issue Number	5
e-ISSN	17518520
Language	English
Publisher	Institute of Automation, Chinese Academy of Sciences
Publisher Date	2012-10-11
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	Sampled-data control system nonuniform sampling independent and identically distributed (i.i.d.) process mean-square exponential stability controller design Computer Applications Computer-Aided Engineering (CAD, CAE) and Design Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Control and Systems Engineering Modeling and Simulation Computer Science Applications

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