Abstract
In this paper, a new multi-objective model predictive control (MPC) algorithm is proposed for multi-objective control of constrained nonlinear systems. Due to the conflict of multiple objectives, the desired costs and compromise solutions of these objectives are first computed. Then a dual-mode tracking control law of control Lyapunov functions is constructed to design the multi-objective MPC controller with guaranteed closed-loop stability. Finally, an example of multi-objective control of CSTR is used to illustrate the effectiveness of the presented MPC algorithm.
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