On stability of multiobjective NMPC with objective prioritization

On stability of multiobjective NMPC with objective prioritization
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具有目标优先级的多目标 NMPC 的稳定性

DOI:
10.1016/j.automatica.2015.04.024
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发表时间:
2015-07
期刊:
影响因子:
6.4
通讯作者:
Sun Jing
Sun Jing
中科院分区:
计算机科学2区
文献类型:
--
作者:
何德峰;王蕾;Sun Jing

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提出了一种新的约束非线性系统多目标模型预测控制(MO-MPC)。根据目标优先顺序,将MO-MPC问题转化为字典序优化问题。最优解是通过求解一系列单目标优化问题得到的。给出了保证优化问题递推可行解和闭环系统稳定的条件,这些条件只依赖于最重要的目标。此外,还提出了一种次最优算法来降低MO-MPC的计算量。所提出的MO-MPC的一个特征是自动满足给定的目标优先顺序。通过实例的对比研究,说明了理论结果的正确性。
This paper proposes a new multiobjective model predictive control (MO-MPC) of constrained nonlinear systems. According to objective prioritization, the MO-MPC problem is formulated as a lexicographic optimization problem. The optimal solutions are obtained by solving a hierarchy of single objective optimization problems. The conditions guaranteeing the recursive feasibility of the optimization problem and stability of the closed-loop system are derived, which depend only on the most important objective. Moreover, a suboptimal algorithm is presented to reduce the computational demand of MO-MPC. One characteristic of the proposed MO-MPC is that the given objective prioritization is automatically satisfied. The theoretical results are illustrated by a comparison study of an example.
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