摘要
针对现有控制算法难以解决多目标空间为非凸的控制问题的现状,结合多目标遗传进化理论的最新成果,提出了多目标相容控制算法。考虑到控制过程中对计算速度的要求,利用控制问题状态具有连续性的特点,提出了迭代算法。在算法进行过程中,通过选择函数进行目标的选择,保证了非凸目标可控性。仿真实例说明了与原有控制算法相比,新算法在非凸目标可控性方面的有效性。
Since it is difficult for the existing control algorithm to deal with the nonconvex objective space control problem,combining the latest research result of the multi-objective genetic optimization algorithm,a new multi-objective compatible algorithm is proposed.Considering the computing speed requirement in the control process,iterative algorithm is put forward.During the control process,by selection function,the controllability of noneonvex objective is guaranteed.The simulation example illuminates that compared with the previous methods,the new algorithm is effective in the nonconvex objective control.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第31期9-12,共4页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60674070)
关键词
非凸
多目标
相容控制
迭代算法
nonconvex
muhi-objective
compatible control
iterative algorithm
