Multi - parameter linear programming is utilized to obtain the explicit model predictive control law and the online computation associated with optimization can be removed completely . thus better real - time applicability is obtained in the presented predictive control profile 我們用多參線性規(guī)劃的方法得到預測控制律與系統(tǒng)當前狀態(tài)變量的顯式映射關系,使得預測控制無需再進行復雜的在線優(yōu)化計算,從而提升了預測控控制的實時性。
Based on the existing theoretical results on model predictive control , this thesis is devoted to the development of the framework of robust model predictive control with guaranteed robust feasibility , roboust stability and real - time applicability . to achieve this goal , the relevant theory and approaches , such as linear matrix inequalities ( lmi ) , robust controllable invariant set , robust controllable contractive set and multi - parameter linear programming , are employed in the research work 本論文在預測控制理論已有研究成果的基礎上,利用線性矩陣不等式、魯棒可控不變集、魯棒可控收縮集、多參線性規(guī)劃等相關理論和方法,探索具有可行性、穩(wěn)定性和一定實時性保證的魯棒預測控制設計框架。