Design of Clustering Adaptive Fuzzy Control Based on Genetic Algorithm

2010 ◽  
Author(s):  
Yucheng Liu ◽  
Yubin Liu
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Adaptive Fuzzy

Study on Fuzzy Control System of Setting and Separating of Red Mud

2014 ◽  
Vol 530-531 ◽  
pp. 1015-1021
Author(s):  
Xiang Ping Chen ◽  
Jin Ling Xiong
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Pid Control ◽  
Red Mud ◽  
Adaptive Fuzzy Control ◽  
Control Device ◽  
Manual Control ◽  
Adaptive Fuzzy ◽  
Control Response ◽  
Clear Solution

Good settling properties of red mud are one of what contribute to smooth production of alumina. Many manufactories still adopt manual control on taking quantitative flocculants to control clarity of clear solution. This paper mainly studies a Genetic Algorithm-based adaptive fuzzy control device based on fuzzy control and genetic algorithm, and also focus on analyzing adaptive fuzzy control of clarity of clear solution, through the test of overflow, baseflow and a flocculants addition as adjustment method. From the results of control, the system can get a better control response, which satisfies the requirements of practice works, compared with ordinary PID control.

Indirect adaptive fuzzy control of nonlinear descriptor systems

2020 ◽  
Vol 51 ◽  
pp. 30-38 ◽  
Author(s):  
Naeimeh Fakhr Shamloo ◽  
Ali Akbarzadeh Kalat ◽  
Luigi Chisci
Keyword(s):  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Descriptor Systems ◽  
Adaptive Fuzzy

scholarly journals Finite-Time Adaptive Fuzzy Control for Nonlinear Systems with Unknown Backlash-Like Hysteresis

2021 ◽  
Author(s):  
Shuzhen Diao ◽  
Wei Sun ◽  
Le Wang ◽  
Jing Wu
Keyword(s):  
Fuzzy Control ◽  
Finite Time ◽  
Fuzzy Systems ◽  
Tracking Error ◽  
Adaptive Fuzzy Control ◽  
Finite Time Stability ◽  
Adaptive Fuzzy ◽  
Intermediate Variable ◽  
Control Scheme ◽  
Theoretical Results

AbstractThis study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem. More precisely, the fuzzy systems are employed to approximate the unknown nonlinearities, and the design difficulties caused by the nonlower triangular structure are also overcome by using the property of fuzzy systems. Besides, the effect of unknown hysteresis input is compensated by approximating an intermediate variable. With the aid of finite-time stability theory, the proposed control algorithm could guarantee that the tracking error converges to a smaller region. Finally, a simulation example is provided to further verify the above theoretical results.

Sign in / Sign up

Export Citation Format

Share Document