Structure-specified IIR filter and control design using real structured genetic algorithm

2009 ◽  
Vol 9 (4) ◽  
pp. 1285-1295 ◽  
Author(s):  
Chih-Wei Tsai ◽  
Ching-Huei Huang ◽  
Chun-Liang Lin
Keyword(s):  
Genetic Algorithm ◽  
Control Design ◽  
Iir Filter ◽  
And Control

GA BASED SENSOR PLACEMENT AND CONTROL DESIGN FOR REACTIVE NAVIGATION OF MOBILE ROBOTS

2005 ◽  
Vol 02 (02) ◽  
pp. 77-91 ◽  
Author(s):  
XIAOCHUAN WANG ◽  
SIMON X. YANG ◽  
MAX Q.-H. MENG
Keyword(s):  
Genetic Algorithm ◽  
Mobile Robots ◽  
Control Structure ◽  
Controller Design ◽  
Sensor Placement ◽  
Control Design ◽  
Simulation Studies ◽  
Optimal Sensor Placement ◽  
Reactive Navigation ◽  
And Control

In this paper, a novel genetic algorithm based approach is proposed for optimal sensor placement and controller design of a mobile robot to facilitate its reactive navigation and obstacle avoidance in unknown environments. The mobile robots considered in this paper have flexible sensor and control structure. A genetic algorithm is developed to evolve the parameters of optimal sensor placement and controller design simultaneously. The effectiveness of the proposed GA based co-evolution approach to robot sensor placement and control design is demonstrated by simulation studies.

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