Adaptive Inverse Control Based on Recusive Least-Squares Algorithm
In recent years, adaptive inverse control is a veryvivid field because of its advantages. It is quite different from thetraditional control. Adaptive inverse control adopts feedback inparameters tuning of the system, not the signal flow. In thispaper, we apply the recursive least-squares (RLS) algorithm tothe adaptive inverse control to achieve the learning of the inversemodel quickly. Besides, we compare it with the least mean-square(LMS) algorithm. The results show that when SNR is high, theconvergence rate of RLS algorithm is faster than the LMSalgorithm.
adaptive inverse control, RLS algorithm, LMS algorithm,minimum phase system
Ao Lu Xi Bin
Department of Automatization Xiamen University, 361005 Xiamen, Fujian, China
国际会议
第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)
南京
英文
542-544
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）