Direct adaptive output-feedback fuzzy controller for a nonaffine nonlinear system

2004 ◽  
Vol 151 (1) ◽  
pp. 65-72 ◽  
Author(s):  
J.-H. Park ◽  
S.-H. Kim
Keyword(s):  
Nonlinear System ◽  
Output Feedback ◽  
Fuzzy Controller ◽  
Nonaffine Nonlinear System

Direct adaptive self-structuring fuzzy controller for nonaffine nonlinear system

2005 ◽  
Vol 153 (3) ◽  
pp. 429-445 ◽  
Author(s):  
Jang-Hyun Park ◽  
Gwi-Tae Park ◽  
Seong-Hwan Kim ◽  
Chae-Joo Moon
Keyword(s):  
Nonlinear System ◽  
Fuzzy Controller ◽  
Nonaffine Nonlinear System

scholarly journals Design of Constructive Controller of Nonlinear System Based on Polynomial Function Growth Condition and Its Application in Deep Subsea Energy Mining and Production Control System

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Longchuan Guo ◽  
Chuanping Zhou ◽  
Xiaoqing Tian ◽  
Huawei Ji ◽  
Yudong Peng
Keyword(s):  
Control System ◽  
Nonlinear System ◽  
Control Problem ◽  
Growth Condition ◽  
Output Feedback ◽  
Controller Design ◽  
Polynomial Function ◽  
Growth Conditions ◽  
Simulation Software ◽  
Tracking Controller

This paper mainly studies the output feedback control problem of the stochastic nonlinear system based on loose growth conditions and applies the research results to the valve control system of underwater oil and gas pipelines, which can improve the speed and stability of the equipment system. First, the concept of randomness is introduced to study the actual tracking control problem of output feedback of stochastic nonlinear systems, remove the original harsher growth conditions, make it meet the more general polynomial function growth conditions, and propose a combination of static and dynamic output feedback practices. The design of the tracking controller makes all the states of the system meet boundedness and ensures that the tracking error of the system converges to a small neighborhood of zero. Second, the system is extended to the parameter-uncertain system, and the output feedback tracking controller with complete dynamic gain is constructed by proving the boundedness of the system state and gain. Further, the time-delay factor is introduced, and the nonlinear term of the system satisfies the more relaxed power growth condition, combined with the inverse method to cleverly construct a set of Lyapunov functions and obtain the output controller to ensure that the system is asymptotically probabilistic in the global scope. Stability. Finally, through the ocean library in the Simulation X simulation software, the controller design results are imported into the underwater electro-hydraulic actuator model to verify the effectiveness of the controller design.

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