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Adaptive Observer Design for Nonlinear Interconnected Systems With Applications

Mohamed, Mokhtar and Yan, Xinggang and Mao, Zehui and Jiang, Bin and Sherif, Abdulaziz (2019) Adaptive Observer Design for Nonlinear Interconnected Systems With Applications. In: New Trends in Observer-Based Control. Elsevier: Academic Press. (KAR id:79384)

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Abstract

In this chapter, observers are designed for a class of nonlinear interconnected systems with uncertain TVPs, in which both the isolated subsystems and the interconnections are nonlinear. The designed observers are variable structure interconnected systems, but may not result in sliding motion. Under the condition that the difference between the unknown TVPs and the corresponding uncertain nominal values are bounded by constants, adaptive updating laws are proposed to estimate the parameters. The persistence of excitation conditions is not required. A set of sufficient conditions are proposed such that the error dynamics formed by the system states and the designed observers are asymptotically stable, while the parameters’ estimation errors are uniformly, ultimately bounded using the LaSalle’s theorem. The results obtained are applied to a coupled inverted pendulum system, and simulation results are presented to demonstrate the effectiveness and feasibility of the developed results. The main contribution includes: (i) Both the interconnections and isolated subsystems take nonlinear forms. (ii) The unknown parameters considered in the system are time varying, and the corresponding nominal values are not required to be known. (iii) The asymptotic convergence of the observation error between the states of the considered systems and the states of the designed observers is guaranteed; while the estimate errors of the TVPs are uniformly, ultimately bounded.

Item Type: Book section
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 21 Dec 2019 14:53 UTC
Last Modified: 16 Feb 2021 14:10 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/79384 (The current URI for this page, for reference purposes)
Yan, Xinggang: https://orcid.org/0000-0003-2217-8398
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