Dynamic Fuzzy Boundary Output Feedback Control for Nonlinear Delayed Parabolic Partial Differential Equation Systems Under Noncollocated Boundary Measurement

被引:11
作者
Wang, Zi-Peng [1 ,2 ]
Zhang, Xu [3 ]
Wu, Huai-Ning [4 ]
Chadli, Mohammed [5 ]
Huang, Tingwen [6 ]
Qiao, Junfei [1 ,2 ]
机构
[1] Beijing Univ Technol, Fac Informat Technol, Beijing Key Lab Computat Intelligence & Intelligen, Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
[2] Beijing Univ Technol, Beijing Inst Artificial Intelligence, Beijing 100124, Peoples R China
[3] Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China
[4] Beihang Univ, Sch Automat Sci & Elect Engn, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China
[5] Univ Paris Saclay, Univ Evry, Lab IBISC, F-91020 Evry, France
[6] Texas A&M Univ, Sci Program, College Stn, TX 77843 USA
关键词
Delays; Sensors; Observers; Actuators; Decentralized control; Control design; Process control; Delayed parabolic PDE system (PPDES); fuzzy control; noncollocated boundary control; random time-varying delay; Takagi-Sugeno (T-S) model; DISTRIBUTED-PARAMETER SYSTEMS; TIME-DELAY; STABILIZATION; STABILITY;
D O I
10.1109/TFUZZ.2022.3217370
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
For nonlinear space-varying parabolic partial differential equation systems (PPDESs) with random time-varying delay, this article introduces a dynamic fuzzy boundary output feedback (DFBOF) control under noncollocated boundary measurement (NCBM). Initially, the nonlinear delayed PPDESs are represented by Takagi-Sugeno (T-S) fuzzy models and random time-varying delay is considered by taking the influence of uncertain factors, which belongs to two intervals in a probabilistic way. Since the system state is not fully available and NCBM makes the boundary control design very difficult, a fuzzy observer under NCBM is presented to surmount the design difficulty. Subsequently, an observer-based fuzzy boundary controller is proposed and spatial linear matrix inequality (SLMI)-based sufficient conditions to ensure mean-square exponential stability are obtained for closed-loop delayed PPDESs by utilizing the Lyapunov direct method and Wirtinger inequality. Then, to solve the SLMIs, the feasibility conditions of DFBOF controller design for nonlinear delayed PPDES are expressed in LMIs. Finally, two examples are offered to demonstrate the validity of the presented dynamic fuzzy boundary control approach.
引用
收藏
页码:2006 / 2017
页数:12
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