Decentralized fault accommodation of a class of interconnected nonlinear systems using an adaptive approximation approach

Authors:
Panagiotis Panagi;Marios M. Polycarpou
Affiliations:
Department of Electrical and Computer Engineering, KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia 1678, Cyprus;Department of Electrical and Computer Engineering, KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia 1678, Cyprus
Venue:
MED '09 Proceedings of the 2009 17th Mediterranean Conference on Control and Automation
Year:
2009

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Combining adaptive with artificial intelligence and nonlinear methods for fault tolerant control

IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III

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Abstract

This paper presents a decentralized adaptive approximation design for the fault tolerant control of interconnected subsystems. We consider faults that occur in the subsystems local dynamics as well as in the interconnection effects. Linearly parameterized neural networks are used to adaptively approximate the unknown interconnection effects and the unknown changes in model dynamics due to failures. An adaptive bounding method is introduced for addressing stability and robustness issues in the presence of residual approximation errors. A simulation example is presented to illustrate the proposed control design methodology.