State-feedback MPC with piecewise constant control for continuous-time nonlinear systems
State-feedback MPC with piecewise constant control for continuous-time nonlinear systems
复制标题
用于连续时间非线性系统的状态反馈 MPC 和分段常数控制
DOI：
10.1109/cdc.2002.1185107
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
R. Scattolini
中科院分区：
文献类型：
--
作者：
L. Magni;R. Scattolini
提出了一种新的非线性系统模型预测控制算法。在连续时间描述被控对象、状态和控制约束以及要最小化的性能指标，同时允许被控变量在固定和均匀分布的采样时刻变化。在这样做时，像在离散时间非线性预测控制中那样，针对序列执行优化，但考虑了系统的连续时间演化，并且避免了像在连续时间非线性预测控制中那样的近似对象离散化。
A new model predictive control (MPC) algorithm for nonlinear systems is presented. The plant under control, the state and control constraints and the performance index to be minimized are described in continuous time, while the manipulated Variables are allowed to change at fixed and uniformly distributed sampling times. In so doing, the optimization is performed with respect to sequences, as in discrete time nonlinear MPC, but the continuous time evolution of the system is considered and the approximate plant discretization is avoided, as in continuous time nonlinear MPC.