Robust-to-Early Termination Model Predictive Control

被引:15
作者
Hosseinzadeh, Mehdi [1 ]
Sinopoli, Bruno [2 ]
Kolmanovsky, Ilya [3 ]
Baruah, Sanjoy [4 ]
机构
[1] Washington State Univ, Sch Mech & Mat Engn, Pullman, WA 99164 USA
[2] Washington Univ St Louis, Dept Elect & Syst Engn, St Louis, MO 63130 USA
[3] Univ Michigan, Dept Aerosp Engn, Ann Arbor, MI 48109 USA
[4] Washington Univ St Louis, Dept Comp Sci & Engn, St Louis, MO 63130 USA
基金
美国国家科学基金会;
关键词
Optimization; Predictive control; Trajectory; Steady-state; Lyapunov methods; Level set; Dynamical systems; Barrier function; early termination; limited computing capacity; model predictive control (MPC); primal-dual flow; LINEAR-SYSTEMS; TRIGGERED MPC; TRACKING; DESIGN;
D O I
10.1109/TAC.2023.3308817
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Model predictive control (MPC) is a popular control approach to ensure constraint satisfaction, while minimizing a cost function. Although MPC usually leads to very good results in terms of performance, its computational overhead is typically nonnegligible, and its implementation for systems where the computing capacity is limited may be impossible. To address this issue, this technical note proposes a robust-to-early termination MPC. That is, the proposed scheme runs until available time for execution runs out, and the solution, while suboptimal, is guaranteed to enforce the constraints and ensure recursive feasibility despite arbitrary early termination. Also, the closed-loop stability is maintained. Simulations are carried out on an F-16 aircraft to assess the effectiveness of the proposed scheme.
引用
收藏
页码:2507 / 2513
页数:7
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