Indirect Robust Model Reference Adaptive Control for Discrete-time System with Output Uncertainty
For a class of more general discrete-time systems with output uncertainty, the design and analysis of robust indirect model reference adaptive control (MRAC) with normalized adaptive law are investigated. The main work includes three parts. Firstly, it is shown that the constructed parameter estimation algorithm not only possesses the same properties as those of traditional estimation algorithms, but also it avoids the possibility of division by zero. Secondly, by establishing a relationship between the plant parameter estimate and controller parameter estimate, some similar properties of the latter are also established. Thirdly, by using the relationship between the normalizing signal and all the signals of the closed-loop system, and some important mathematical tools on discrete-time systems, a systematic stability and robustness analysis approach to the discrete indirect robust MRAC scheme is developed rigorously.
GAO Qingzheng GAO Fei ZHANG Changmao
Department of Physics and Information Engineering, Jining University, Qufu, Shandong Province, 27315 School of Management, Jining Medical University, Rizhao, Shandong Province, 276826, P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）