非线性模型预测控制的现状与问题

Nonlinear Model Predictive Control: The State and Open Problems

模型预测控制的一个主要优点是能显式并优化处理控制量和状态量的约束。为此 ,主要围绕非线性预测控制的算法、稳定性和鲁棒性、对偶问题和滚动时域估计的最新研究成果进行综述 ,并阐述了理论与应用方面有待进一步研究的几个主要问题。

An important advantage of model predictive control (MPC) is its ability to cope with constraints on controls and states in an explicit and optimal way. As to nonlinear MPC, recent results on approaches, stability, robustness and the dual problem-moving horizon estimation are reviewed. Some open problems concerning the theoretical and practical properties of nonlinear MPC are also discussed.