Abstract
This work proposes the design of a robust fault estimator for a class of nonlinear uncertain networked control systems (NCSs) that ensures the fault estimation error is less than prescribed H∞ performance level, irrespective of parameter uncertainties and network-induced effects. T-S fuzzy models are firstly employed to describe the nonlinear plant. Markov process and Bernoulli distribution are respectively used to model the random network-induced effects, i.e., the network-induced delay and data packet dropouts. Sufficient conditions for the existence of such a fault estimator for this class of NCSs are derived in terms of the solvability of bilinear matrix inequalities. An iterative algorithm is proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools. The effectiveness of the proposed design methodology is verified by a numerical example.
Keywords: Fault estimator, networked control, robustness.
International Journal of Sensors, Wireless Communications and Control
Title:Robust Fault Estimator Design for Uncertain Nonlinear Networked Control Systems
Volume: 2 Issue: 2
Author(s): Dan Huang and Sing Kiong Nguang
Affiliation:
Keywords: Fault estimator, networked control, robustness.
Abstract: This work proposes the design of a robust fault estimator for a class of nonlinear uncertain networked control systems (NCSs) that ensures the fault estimation error is less than prescribed H∞ performance level, irrespective of parameter uncertainties and network-induced effects. T-S fuzzy models are firstly employed to describe the nonlinear plant. Markov process and Bernoulli distribution are respectively used to model the random network-induced effects, i.e., the network-induced delay and data packet dropouts. Sufficient conditions for the existence of such a fault estimator for this class of NCSs are derived in terms of the solvability of bilinear matrix inequalities. An iterative algorithm is proposed to change this non-convex problem into quasi-convex optimization problems, which can be solved effectively by available mathematical tools. The effectiveness of the proposed design methodology is verified by a numerical example.
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Cite this article as:
Huang Dan and Nguang Kiong Sing, Robust Fault Estimator Design for Uncertain Nonlinear Networked Control Systems, International Journal of Sensors, Wireless Communications and Control 2012; 2 (2) . https://dx.doi.org/10.2174/2210327911202020068
DOI https://dx.doi.org/10.2174/2210327911202020068 |
Print ISSN 2210-3279 |
Publisher Name Bentham Science Publisher |
Online ISSN 2210-3287 |
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