模型预测控制(MPC)，也称为滚动时域控制(RHC)，是一种基于模型的控制理论，采用线性或非线性模型预测系统的活动。
Model predictive control (MPC), also known as receding horizon control (RHC), is a class of model-based control theories that use linear or nonlinear process models to forecast system behavior.
针对一般形式的非线性系统，研究了有终端约束的稳定预测控制策略-有限时域滚动控制相对传统最优控制的次优性问题。
In this paper, considering nonlinear systems, the suboptimality of receding horizon control with Terminal Constraints is presented and compared with traditional optimal control.
针对一般形式的非线性系统，研究了有终端约束的稳定预测控制策略-有限时域滚动控制相对传统最优控制的次优性问题。
In this paper, considering nonlinear systems, the suboptimality of receding horizon control with Terminal Constraints is presented and compared with traditional optimal control.
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