An improved approach of robust constrained model predictive tracking control for polytopic description systems

A novel design of robust constrained model predictive tracking control is proposed for systems with polytopic description. Unlike the conventional control, method adopts an improved state space in which process variables and error are combined such that they can be tuned cost function optimization separately. Based on new model, more degrees freedom provided subsequent controller design, leads to performance. The relevant feasibility stability issues further discussed, effectiveness approach tested a system open-loop unstable dead time reverse responses.