Decentralised output tracking of interconnected systems with unknown interconnections using sliding mode control

In this paper, a class of nonlinear interconnected systems with matched and unmatched uncertainties is considered. The isolated subsystem dynamics are described by linear systems with nonlinear components. The matched uncertainties and unmatched unknown interconnection terms are assumed to be bounde...

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Bibliographic Details
Published in:International journal of systems science 2023-01, Vol.54 (2), p.283-294
Main Authors: Ding, Yueheng, Yan, Xinggang, Mao, Zehui, Jiang, Bin, Spurgeon, Sarah K.
Format: Article
Language:English
Subjects:
Control systems design
Decentralised control
Decentralized control
large-scale system
Linear systems
Nonlinear systems
Quality control
Reference signals
Sliding mode control
State feedback
Subsystems
Tracking control
Tracking errors
Uncertainty
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Summary:In this paper, a class of nonlinear interconnected systems with matched and unmatched uncertainties is considered. The isolated subsystem dynamics are described by linear systems with nonlinear components. The matched uncertainties and unmatched unknown interconnection terms are assumed to be bounded by known nonlinear functions. Based on sliding mode techniques, a state feedback decentralised control scheme is proposed such that the outputs of the controlled interconnected system track given desired signals uniformly ultimately. The desired reference signals are allowed to be time-varying. Using appropriate transformations, the considered system is transformed into a new interconnected system with an appropriate structure to facilitate the sliding surface design and the decentralised control design. A set of conditions is proposed to guarantee that the designed controller drives the tracking errors onto the sliding surface. The sliding motion exhibited by the error dynamics is uniformly ultimately bounded. The developed results are applied to a river quality control problem. Simulation results show that the proposed decentralised control strategy is effective and feasible.
ISSN:0020-7721
1464-5319
DOI:10.1080/00207721.2022.2114115