An evolution computation approach to hybrid dynamic system optimal control problems

This paper deals with optimal control problems of hybrid dynamic systems. Since the solution of such complex problems has comprehensive applications in practice, a generic approach based on genetic algorithms is proposed in this paper to effectively handle the continuous-time and discrete-event dynamics with multiple optimization objectives. A multitank blending system control problem is presented as a case study to show the implementation of the proposed method. The results demonstrate that this approach has the theoretical significance, and the promising prospects due to the comprehensive applications in practice.