提出了一种基于FSQP算法的约束非线性系统最优控制方法。
FSQP algorithm based method for constrained nonlinear system optimal control problem is developed.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
二是采用带干扰的线性模型，在线性二次型最优控制和线性系统状态观测器的基础上，设计了一种无速度测量非线性鲁棒控制律。
Using the linear model with disturbances, the other law is designed to be robust based on the linear quadratic optimal control and the state observer of linear system.
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