摘要
蚁群算法是一种模拟进化算法,初步的研究表明该算法具有许多优良的性质.研究了一种可用于求解连续空间优化问题的蚁群算法策略,针对SISO离散时不变控制系统,在给出了加权矩阵Q与状态反馈阵K的取值范围确定方法的基础上,应用连续性空间优化问题的蚁群算法模型求解了离散LQ逆问题.仿真结果表明蚁群算法在求解控制优化问题中的有效性.
The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties. In this paper, a new type of ant colony algorithm's explorative strategy which can be applied to solve the continuous space optimization problems is studied. To a system which is SISO and constant, a methed to get the definite scopes of weighting matrix Q and state feedback matrix K is presented. By making use of the ant colony algorithm in the continuous space optimization problems which is proposed, the discrete LQ inverse problem is solved. The results of the computer simulation show that the ant colony algorithm is a valid method for solving the control optimization problems.
出处
《科技通报》
北大核心
2004年第2期138-141,共4页
Bulletin of Science and Technology
基金
杭州师范学院科研基金资助重点项目(项目编号2003XA612)
关键词
计算机科学技术基础学科
蚁群算法
离散LQ逆问题
良好稳定区
参数空间映射
basic subject of computer science and technology
ant colony algorithm
discrete LQ inverse problem
good stable region
parameter space map
