Genetic Algorithms for Modeling and Control of Drying Processes

2018 ◽  
pp. 173-188
Author(s):  
Stefan Palis
Keyword(s):  
Genetic Algorithms ◽  
Modeling And Control ◽  
And Control

Some Applications of Soft Computing Methods in System Modeling and Control

1998 ◽  
Vol 2 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Bela Lantos ◽  
Keyword(s):  
Genetic Algorithms ◽  
Nonlinear Systems ◽  
Neural Control ◽  
System Modeling ◽  
Computing Methods ◽  
Neural Systems ◽  
Modeling And Control ◽  
Optimal Controllers ◽  
Soft Computing Methods ◽  
And Control

The paper deals with the application of fuzzy systems, artificial neural networks (neural systems), and genetic algorithms to solve modeling and control problems in system engineering. Part 1 the paper covers the design of classical PID and fuzzy PID controllers for nonlinear systems with an (approximately) known dynamic model. Optimal controllers are designed based on genetic algorithms. Part 2 considers neural control of a SCARA robot. Part 3 deals with the fuzzy control of a special class of MIMO nonlinear systems and generalizes the method of Wang for such systems.

Modeling and Control for Plant Dynamics Based on Reinforcement Learning

2009 ◽  
Vol 129 (4) ◽  
pp. 363-367
Author(s):  
Tomoyuki Maeda ◽  
Makishi Nakayama ◽  
Hiroshi Narazaki ◽  
Akira Kitamura
Keyword(s):  
Reinforcement Learning ◽  
Modeling And Control ◽  
Plant Dynamics ◽  
And Control

Designing Stability and Control Augmentation Systems Using Genetic Algorithms

2009 ◽  
Author(s):  
Ashraf Omran ◽  
Mohamed Elshabasy ◽  
Wael Mokhtar ◽  
Brett Newman ◽  
Mohamed Gharib
Keyword(s):  
Genetic Algorithms ◽  
Stability And Control ◽  
And Control
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