Observer-Based Decentralized Control for Non-Strict-Feedback Fractional-Order Nonlinear Large-Scale Systems With Unknown Dead Zones

This article addresses the output-feedback decentralized control issue for the fractional-order nonlinear large-scale nonstrict-feedback systems with states immeasurable and unknown dead zones. The unknown nonlinear functions are identified by neural networks (NNs), and immeasurable states are estim...

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Bibliographic Details
Published inIEEE transaction on neural networks and learning systems Vol. 34; no. 10; pp. 7479 - 7490
Main Authors Zhan, Yongliang, Li, Xiaomei, Tong, Shaocheng
Format Journal Article
LanguageEnglish
Published United States IEEE 01.10.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive algorithms
Adaptive control
Adaptive systems
Artificial neural networks
Backstepping
Basis functions
Control algorithms
Control theory
Decentralized control
Ear
Explosions
Feedback
fractional-order system
Large-scale systems
Neural networks
Nonlinear systems
Observers
Output feedback
output feedback control
Stability criteria
State observers
unknown dead zones
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Summary:This article addresses the output-feedback decentralized control issue for the fractional-order nonlinear large-scale nonstrict-feedback systems with states immeasurable and unknown dead zones. The unknown nonlinear functions are identified by neural networks (NNs), and immeasurable states are estimated by establishing an NNs' decentralized state observer. The algebraic loop issue is solved by using the property of NN basis functions and designing the fractional-order adaptation laws. In addition, the fractional-order dynamic surface control (FODSC) design technique is introduced in the adaptive backstepping control algorithm to avoid the issue of "explosion of complexity." Then, by treating the nonsymmetric dead zones as the time-varying uncertain systems, an adaptive NNs' output-feedback decentralized control scheme is developed via the fractional-order Lyapunov stability criterion. It is proven that the controlled fractional-order systems are stable, and the tracking and observer errors can converge to a small neighborhood of zero. Two simulation examples are given to confirm the validity of the put forward control scheme.
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ISSN:2162-237X
2162-2388
DOI:10.1109/TNNLS.2022.3143901