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Cooperative Fault Estimation for A Class of Heterogeneous Multi-agents with Stochastic Nonlinearities Based on Finite Impulse Response Filter

Wu, Yutao, Mao, Zehui, Yan, Xinggang, Jiang, Bin (2022) Cooperative Fault Estimation for A Class of Heterogeneous Multi-agents with Stochastic Nonlinearities Based on Finite Impulse Response Filter. International Journal of Robust and Nonlinear Control, 32 (8). pp. 4696-4715. ISSN 1049-8923. (doi:10.1002/rnc.6058) (KAR id:93173)

Abstract

This paper investigates the cooperative fault estimation problem for a class of heterogeneous multi-agent systems, in which the agent dynamics are governed by linear discrete time-varying systems with nonidentical dimensions subject to stochastic nonlinearities. A finite impulse response (FIR) filter based fault estimation scheme is developed via relative outputs to estimate the possible faults of the local and neighboring agents simultaneously. An analytical redundancy expressed in terms of all the states in the previous time window is originally established for deriving the fault estimation signal. The prior variance information coupled with fault estimation error in nonlinear form, is fully considered to design performance index through analysis of random matrix inequality. The optimal FIR filter gain is analytically obtained with computational efficiency by searching the minimum point of the relevant matrix trace function. Illustrative examples are finally provided to demonstrate the effectiveness and advantages of the developed results.

Item Type: Article
DOI/Identification number: 10.1002/rnc.6058
Uncontrolled keywords: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, Biomedical Engineering, General Chemical Engineering, Control and Systems Engineering
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: National Natural Science Foundation of China (https://ror.org/01h0zpd94)
Depositing User: Xinggang Yan
Date Deposited: 13 Feb 2022 10:44 UTC
Last Modified: 04 Mar 2024 17:03 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93173 (The current URI for this page, for reference purposes)

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