Algorithmic control for real-time optimization of nonlinear systems: Simulations and experiments
Algorithmic control for real-time optimization of nonlinear systems: Simulations and experiments
复制标题
非线性系统实时优化的算法控制：仿真和实验
DOI：
10.1109/cdc.2005.1582742
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
G. Zhai
中科院分区：
文献类型：
--
作者：
J. Imae;K. Yoshimizu;Tomoaki Kobayashi;G. Zhai
提出了一种非线性最优控制问题实时计算的新方法。该方法基于迭代算法求解最优控制问题的数值解。本文采用迭代算法中的一种基于riccti方程的算法，并通过仿真和实验证明了所提出的“算法控制器”适用于Van der Pol问题、起重机问题和倒立摆的摆动问题。
A new method for real-time calculation of nonlinear optimal control problems is proposed. The proposed method is based on the iterative algorithms for obtaining the numerical solutions of optimal control problems. In this paper, we adopt the Riccati-equation based algorithm, which is one of the iterative algorithms, and demonstrate that the proposed `algorithmic controller' is applicable to the Van der Pol problem, the crane problem, and the swing-up problem of an inverted pendulum by means of simulations and experiments.