scholarly journals Design of Critical Control Systems Utilizing Genetic Algorithms and LMI-Based Regional Pole Assignment Technique

2006 ◽  
Vol 49 (3) ◽  
pp. 912-919 ◽  
Author(s):  
Toshiyuki SATOH ◽  
Naoki SAITO
Keyword(s):  
Genetic Algorithms ◽  
Control Systems ◽  
Pole Assignment

Design of Predictive Control Systems based on Pole Assignment

1983 ◽  
Author(s):  
J.L. Marchetti ◽  
D.A. Mellichamp ◽  
D.E. Seborg
Keyword(s):  
Control Systems ◽  
Predictive Control ◽  
Pole Assignment

Computational Intelligence for Modelling and Control of Multi-Robot Systems

2011 ◽  
pp. 122-135
Author(s):  
M. Mohammadian
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Control Systems ◽  
Fuzzy Systems ◽  
Methodological Approach ◽  
Knowledge Bases ◽  
Fuzzy Logic Systems ◽  
Fuzzy Knowledge Bases ◽  
Robot Systems ◽  
Logic Systems

With increased application of fuzzy logic in complex control systems, there is a need for a structured methodological approach in the development of fuzzy logic systems. Current fuzzy logic systems are developed based on individualistic bases and cannot face the challenge of interacting with other (fuzzy) systems in a dynamic environment. In this chapter a method for development of fuzzy systems that can interact with other (fuzzy) systems is proposed. Specifically a method for designing hierarchical self-learning fuzzy logic control systems based on the integration of genetic algorithms and fuzzy logic to provide an integrated knowledge base for intelligent control of mobile robots for collision-avoidance in a common workspace. The robots are considered as point masses moving in a common work space. Genetic algorithms are employed as an adaptive method for learning the fuzzy rules of the control systems as well as learning, the mapping and interaction between fuzzy knowledge bases of different fuzzy logic systems.

Observer Design of Bilinear Systems

1983 ◽  
Vol 105 (3) ◽  
pp. 206-208 ◽  
Author(s):  
Chin Shung Hsu ◽  
V. R. Karanam
Keyword(s):  
Control Systems ◽  
Pole Assignment ◽  
Bilinear Systems ◽  
Observer Design ◽  
Observer Error ◽  
Design Procedures ◽  
Bilinear Control ◽  
New Class ◽  
Bilinear Control Systems ◽  
Error Behavior

In this paper, recent results on the observer design of bilinear control systems (BLS) are first reviewed. Different design procedures are examined with respect to their associated observer error behavior. A new class of BLS observers which can be designed via pole-assignment algorithms is then presented.

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