Prioritized multi-objective model predictive control of constrained nonlinear systems with quasi-optimal stability
TIAN Yu
HE De-feng
MU Jian-bin
Abstract：This paper proposes a prioritized multi-objective model predictive control(MO-MPC)strategy with quasi-optimal stability for nonlinear systems subject to control constraints.Using the multi-objective lexicographical method,the multiple objective functions are sorted based on decision-maker's preferences.Then the conflict multi-objective opti-mization control problem is transformed into a sequence of single objective optimization control problems with the priority order.By introducing the quasi steady-state optimality criterion,the terminal properties of the objective function for each optimization control problem are obtained.Moreover,the recursive feasibility and approximate optimality of closed-loop performance for the prioritized multi-objective receding horizon optimal control problem are established.Numerical simu-lation results verify the effectiveness of the proposed strategy.
Keywords：model predictive controlnonlinear systemsmulti-objective controlstabilityeconomic optimization
Publication Date：2025-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 731-739 )