Title :
Non-fragile H∞ control with randomly occurring gain variations, distributed delays and channel fadings
Author :
Li, Zhen’na ; Wang, Zidong ; Ding, Derui ; Shu, Huisheng
Author_Institution :
Donghua University, People´s Republic of China
Abstract :
This study is concerned with the non-fragile H∞ control problem for a class of discrete-time systems subject to randomly occurring gain variations (ROGVs), channel fadings and infinite-distributed delays. A new stochastic phenomenon (ROGVs), which is governed by a sequence of random variables with a certain probabilistic distribution, is put forward to better reflect the reality of the randomly occurring fluctuation of controller gains implemented in networked environments. A modified stochastic Rice fading model is then exploited to account for both channel fadings and random time-delays in a unified representation. The channel coefficients are a set of mutually independent random variables which abide by any (not necessarily Gaussian) probability density function on [0, 1]. Attention is focused on the analysis and design of a non-fragile H∞ output-feedback controller such that the closed-loop control system is stochastically stable with a prescribed H∞ performance. Through intensive stochastic analysis, sufficient conditions are established for the desired stochastic stability and H∞ disturbance attenuation, and the addressed non-fragile control problem is then recast as a convex optimisation problem solvable via the semi-definite programme method. An example is finally provided to demonstrate the effectiveness of the proposed design method.
Keywords :
H∞ control; Rician channels; control system analysis; control system synthesis; convex programming; delay systems; discrete time systems; distributed control; feedback; networked control systems; probability; stability; statistical distributions; stochastic systems; H∞ disturbance attenuation; ROGVs; channel coefficients; channel fadings; closed-loop control system; convex optimisation problem; discrete-time systems; infinite-distributed delays; intensive stochastic analysis; modified stochastic Rice fading model; mutually independent random variables; networked environments; nonfragile H∞ output-feedback controller analysis; nonfragile H∞ output-feedback controller design; probabilistic distribution; probability density function; random time-delays; random variable sequence; randomly occurring gain variations; semidefinite programme method; stochastic phenomenon; stochastic stability; sufficient conditions;
Journal_Title :
Control Theory & Applications, IET
DOI :
10.1049/iet-cta.2014.0426