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15.08.2022

Dynamic Feedback Tracking Control for Interval Type-2 T-S Fuzzy Nonlinear System Based on Adaptive Event-Triggered Strategy

verfasst von: Yang Jia, Guangtao Ran, Youmin Gong, Lijing Wang, Fengxia Xu

Erschienen in: Neural Processing Letters

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Abstract

This paper explores the tracking control problem for a category of discrete-time nonlinear networked control systems (NCSs) with unknown state, parameter uncertainty, data packet dropout and time delay. Our aim is to construct a dynamic tracking feedback controller with a novel event-triggered (ET) scheme to guarantee the system output can track the reference output signal within an allowable error range. With the purpose of reducing the utilization of network resources, an improved adaptive ET communication scheme is designed at first, which can save more network resources. Secondly, the uncertainties can be easily expressed by using the interval type-2 (IT2) T-S fuzzy model to describe the nonlinear systems. Next, a dynamic feedback controller with asynchronous premise variables is designed, and the sufficient conditions for less conservative stability of the system and the design method of the controller are obtained by applying slack matrices. Finally, numerical examples are provided to further illustrate the validity of the strategy proposed in this paper.
Literatur
20.
Zurück zum Zitat Fan X, Yi Y, Zhang T, Zheng W (2015) T-S fuzzy modeling-based anti-disturbance tracking control for systems with nonlinear disturbances [C]. In: IEEE 2015 34 th Chinese Control Conference, pp 627–632 Fan X, Yi Y, Zhang T, Zheng W (2015) T-S fuzzy modeling-based anti-disturbance tracking control for systems with nonlinear disturbances [C]. In: IEEE 2015 34 th Chinese Control Conference, pp 627–632
27.
Zurück zum Zitat Park JH, Shen H, Chang XH et al (2019) Recent advances in control and filtering of dynamic systems with constrained signals. Springer International Publishing, Berlin CrossRef Park JH, Shen H, Chang XH et al (2019) Recent advances in control and filtering of dynamic systems with constrained signals. Springer International Publishing, Berlin CrossRef
36.
Zurück zum Zitat Zhang Y, Tao G, Chen M (2015) Multivariable adaptive output tracking control of T-S fuzzy systems. In: The 54th IEEE Conference on Decision and Control (CDC) Zhang Y, Tao G, Chen M (2015) Multivariable adaptive output tracking control of T-S fuzzy systems. In: The 54th IEEE Conference on Decision and Control (CDC)
Metadaten
Titel
Dynamic Feedback Tracking Control for Interval Type-2 T-S Fuzzy Nonlinear System Based on Adaptive Event-Triggered Strategy
verfasst von
Yang Jia
Guangtao Ran
Youmin Gong
Lijing Wang
Fengxia Xu
Publikationsdatum
15.08.2022
Verlag
Springer US
Erschienen in
Neural Processing Letters
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-022-10960-0