Decentralized adaptive output feedback fuzzy controller for a class of large-scale nonlinear systems

In the previous work of Huang et al., a coordinated decentralized hybrid adaptive output feedback fuzzy control scheme of large-scale nonlinear systems is obtained predicated upon this prerequisite assumption that the local controllers can share the a priori information about their individual refere...

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Bibliographic Details
Published in:Nonlinear dynamics 2011-07, Vol.65 (1-2), p.85-101
Main Authors: Huang, Yi-Shao, Zhou, De-Qun
Format: Article
Language:English
Subjects:
Adaptive control
Adaptive control systems
Algorithms
Automotive Engineering
Classical Mechanics
Computer simulation
Control
Controllers
Decentralized
Dynamical Systems
Engineering
Fuzzy control
Fuzzy systems
Mechanical Engineering
Nonlinear control
Nonlinear dynamics
Nonlinear systems
Original Paper
Output feedback
Pendulums
Subsystems
Tracking errors
Vibration
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Summary:In the previous work of Huang et al., a coordinated decentralized hybrid adaptive output feedback fuzzy control scheme of large-scale nonlinear systems is obtained predicated upon this prerequisite assumption that the local controllers can share the a priori information about their individual reference models. In this note, we concentrate in the absence of the coordination assumption on developing a classical decentralized combined indirect and direct adaptive fuzzy controller for a class of uncertain large-scale nonlinear systems. The output feedback and adaptation mechanisms proposed for each subsystem hinges just upon its individual output, regardless of any other output reference. Neither the famous strictly positive real (SPR) condition nor a high-gain observer (HGO) is required to realize the overall output feedback algorithm. The tracking errors of the closed-loop large-scale system are shown to converge to tunable neighborhoods of the origin. Simulation results on correlated inverted pendulums verify the validity of the decentralized controller modification.
ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-010-9876-2