Abstract
The robust control problem has been investigated for a class of large-scale nonlinear networked control systems with nonlinear sector input. The time delays have been inherent for the systems because of the information transmission through the communication networks. By T-S fuzzyfication for each subsystem, the interconnected T-S fuzzy subsystems are obtained. When the bound parameters are known, the decentralized memoryless state feedback controller is constructed. When the parameters of bound functions are not available, the adaptive method is used, and the memoryless decentralized adaptive state feedback controller is developed. By the construction of the proper Lyapunov–Krasovskii functional, the exponential stabilization of the resultant closed-loop system is proved for the both cases. Finally, the theoretic results are applied to the decentralized controller design of networked interconnected chemical reactor systems.
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© 2018 Springer Nature Singapore Pte Ltd.
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Hua, C., Zhang, L., Guan, X. (2018). Decentralized Fuzzy Networked Control Systems Design with Sector Input. In: Robust Control for Nonlinear Time-Delay Systems. Springer, Singapore. https://doi.org/10.1007/978-981-10-5131-9_9
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DOI: https://doi.org/10.1007/978-981-10-5131-9_9
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5130-2
Online ISBN: 978-981-10-5131-9
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