Fulfilling Hard Constraints in Uncertain Linear Systems by Reference Managing

详细信息    查看全文

• 作者：Bemporad ; Alberto ; Mosca ; Edoardo
• 关键词：Constraint satisfaction problems ; robustness ; nonlinear filters ; optimization problems ; reference input signals
• 刊名：Automatica
• 出版年：1998
• 出版时间：April, 1998
• 年：1998
• 卷：34
• 期：4
• 页码：451-461
• 全文大小：713 K

文摘

A method based on conceptual tools of predictive control is described for tackling tracking problems of uncertain linear systems wherein pointwise-in-time input and/or state inequality constraints are present. The method consists of adding to a primal compensated system a nonlinear device called predictive reference filter which manipulates the desired reference in order to fulfill the prescribed constraints. Provided that an admissibility condition on the initial state is satisfied, the control scheme is proved to fulfill the constraints, as well as stability and set-point tracking requirements, for all systems whose impulse/step responses lie within given uncertainty ranges.