Robust Fault Estimator Design for Uncertain Nonlinear Networked Control Systems

Author(s): Dan Huang, Sing Kiong Nguang.

Journal Name: International Journal of Sensors, Wireless Communications and Control

Volume 2 , Issue 2 , 2012

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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.

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Article Details

Year: 2012
Page: [68 - 80]
Pages: 13
DOI: 10.2174/2210327911202020068
Price: $58