Observer-based robust model predictive control of singular systems

摘要：

The robust model predictive control problem is studied for the singular systems with norm-bounded uncertainties when the states of controlled systems are unmeasurable.By constructing the Lyapunov function with the error term,the observer-based feedback control law is calculated by minimizing the worst-case linear quadratic objective function.At each sampling time,the sufficient conditions for the existence of robust model predictive control are derived and expressed as linear matrix inequalities.When the obtained feedback controller satisfies some conditions,the robust stability of the closed-loop singular systems is guaranteed by the proposed design method,and the regular and the impulse-free of singular systems are also hold.A simulation example is give to illustrate the efficiency of this method.

关键词： model predictive control singular systems linear matrix inequality (LMI) state observer uncertainties.

作者: Xiao-hua Liu Yuan-hua Yang

作者单位: School of Mathematics and Information,Ludong University,Yantai,264025,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）