Nonstandard optimal control by utilizing genetic algorithms
نویسندگان
چکیده
Genetic Algorithms (GAs) have been successful in global optimization problems, optimal control, pattern recognition, resource allocation and others. The use of GAs was introduced for the optimal control of discrete time system. After transforming optimal control problem into unconstrained optimization one with respect to control variables, we utilized GAs to solve this optimization problem, and obtained optimal control strategies. Finally, the optimal trajectory was gained according to state transition equations. Simulation example was illustrated for tracking problem. The result shows that GAs can solve N-stage optimal control problem well, and the advantages of using this method are the following: the needed computation resource is not very sensitive to the size of N; functions in the problem needn’t to be differentiable; elements of admissible control set can be continuous, discrete, integer, and mixed.
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