Non-fragile H ∞ control with randomly occurring gain variations, distributed delays and channel fadings
- Author(s): Zhen’na Li 1 ; Zidong Wang 2, 3 ; Derui Ding 1 ; Huisheng Shu 1
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View affiliations
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Affiliations:
1:
School of Information Science and Technology, Donghua University, Shanghai 200051, People's Republic of China;
2: Department of Computer Science, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK;
3: Communication Systems and Networks (CSN) Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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Affiliations:
1:
School of Information Science and Technology, Donghua University, Shanghai 200051, People's Republic of China;
- Source:
Volume 9, Issue 2,
19 January 2015,
p.
222 – 231
DOI: 10.1049/iet-cta.2014.0426 , Print ISSN 1751-8644, Online ISSN 1751-8652
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.
Inspec keywords: control system analysis; discrete time systems; H∞ control; control system synthesis; stability; statistical distributions; feedback; stochastic systems; networked control systems; Rician channels; convex programming; probability; distributed control; delay systems
Other keywords: random time-delays; infinite-distributed delays; H∞ disturbance attenuation; channel coefficients; semidefinite programme method; modified stochastic Rice fading model; random variable sequence; stochastic phenomenon; discrete-time systems; stochastic stability; randomly occurring gain variations; probabilistic distribution; channel fadings; intensive stochastic analysis; nonfragile H∞ output-feedback controller analysis; ROGVs; probability density function; mutually independent random variables; convex optimisation problem; nonfragile H∞ output-feedback controller design; networked environments; sufficient conditions; closed-loop control system
Subjects: Discrete control systems; Control system analysis and synthesis methods; Stability in control theory; Time-varying control systems; Other topics in statistics; Distributed parameter control systems; Optimal control; Optimisation techniques
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