Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10812
Title: Finite-horizon reliable control with randomly occurring uncertainties and nonlinearities subject to output quantization
Authors: Dong, H
Wang, Z
Ding, SX
Gao, H
Keywords: Finite-horizon reliable control;Time-varying systems;Actuator and sensor failure;Randomly occurring nonlinearities;Randomly occurring uncertainties
Issue Date: 2015
Publisher: Elsevier Ltd
Citation: Automatica, 2015, 52 pp. 355 - 362
Abstract: This paper deals with the finite-horizon reliable H∞ output feedback control problem for a class of discrete time-varying systems with randomly occurring uncertainties (ROUs), randomly occurring nonlinearities (RONs) as well as measurement quantizations. Both the deterministic actuator failures and probabilistic sensor failures are considered in order to reflect the reality. The actuator failure is quantified by a deterministic variable varying in a given interval and the sensor failure is governed by an individual random variable taking value on [0,1]. Both the nonlinearities and the uncertainties enter into the system in random ways according to Bernoulli distributed white sequences with known conditional probabilities. The main purpose of the problem addressed is to design a time-varying output feedback controller over a given finite horizon such that, in the simultaneous presence of ROUs, RONs, actuator and sensor failures as well as measurement quantizations, the closed-loop system achieves a prescribed performance level in terms of the H∞-norm. Sufficient conditions are first established for the robust H∞ performance through intensive stochastic analysis, and then a recursive linear matrix inequality approach is employed to design the desired output feedback controller achieving the prescribed H∞ disturbance rejection level. A numerical example is given to demonstrate the effectiveness of the proposed design scheme.
Description: Copyright @ 2014 Elsevier Ltd. All rights reserved.
URI: http://www.sciencedirect.com/science/article/pii/S0005109814005792
http://bura.brunel.ac.uk/handle/2438/10812
DOI: http://dx.doi.org/10.1016/j.automatica.2014.11.020
ISSN: 0005-1098
Appears in Collections:Dept of Computer Science Research Papers

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