Study on Robust Guaranteed Cost Control Based on Improved Genetic Algorithm

摘要：

A method of improved genetic algorithm for designing robust guaranteed cost controller is proposed. Selection,crossover,mutation are all improved in new algorithm.Firstly,a series of matrices are obtained by solving the linear matrix inequality several times and these matrices were considered as initial code.Secondly,the new algorithm is used to optimize these matrices in order to obtain the optimized matrix,the matrix is applied to the linear inequality systems to solve the rest unbeknown matrices by LMI method. At last,an illustrative example is given to demonstrate the feasibility and validity of the theoretical results.

作者: Chaoli Tang Yiqing Huang Yourui Huang Yiming Tian

作者单位: School of Electronic and Information Engineering Anhui University of Science and Technology Huai nan,Anhui province,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 931-935

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）