Torque tracking control of electric load simulator with active motion disturbance and nonlinearity based on T‐S fuzzy model

2018 ◽  
Vol 22 (3) ◽  
pp. 1280-1294
Author(s):  
Chengcheng Li ◽  
Xudong Pan ◽  
Guanglin Wang
Keyword(s):  
Tracking Control ◽  
Fuzzy Model ◽  
Electric Load ◽  
Active Motion ◽  
Load Simulator

scholarly journals Proportional PDC Design-Based Robust Stabilization and Tracking Control Strategies for Uncertain and Disturbed T-S Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Chekib Ghorbel ◽  
Amira Tiga ◽  
Naceur Benhadj Braiek
Keyword(s):  
Tracking Control ◽  
Robust Stabilization ◽  
Fuzzy Model ◽  
Nonlinear Dynamic System ◽  
Disturbance Attenuation ◽  
Linear Matrix ◽  
Feedback Gain ◽  
Pendulum System ◽  
Inverted Pendulum System ◽  
S Model

This paper presents a proportional parallel distributed compensation (PPDC) design to the robust stabilization and tracking control of the nonlinear dynamic system, which is described by the uncertain and perturbed Takagi–Sugeno (T-S) fuzzy model. The proposed PPDC control design can greatly reduce the number of adjustable parameters involved in the original PDC and separate them from the feedback gain. Furthermore, the process of finding the common quadratic Lyapunov matrix is simplified. Then, the global asymptotic stability with decay rate and disturbance attenuation of the closed-loop T-S model affected by uncertainties and external disturbances are discussed using the H∞ synthesis and linear matrix inequality (LMI) tools. Finally, to illustrate the merit of our purpose, numerical simulation studies of stabilizing and tracking an inverted pendulum system are presented.

Statistic Tracking Control for Non-Gaussian Systems Using T-S Fuzzy Model

2008 ◽  
Vol 41 (2) ◽  
pp. 11564-11569 ◽  
Author(s):  
Yang Yi ◽  
Tao Li ◽  
Lei Guo
Keyword(s):  
Tracking Control ◽  
Fuzzy Model ◽  
Non Gaussian
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