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.
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.
输入输出受限非线性系统的预测控制问题，可以看作是一个难以直接求解的约束非线性优化问题。
Predictive control algorithms for a multivariable nonlinear system with limited inputs and outputs can be formulated as a constrained nonlinear optimization problem which is hard to solve.
该算法对非线性系统不需要进行线性化，对带强耦合的MIMO系统不需要解耦，使用罚函数处理约束也非常方便。
It is no need for this algorithm to linearize the nonlinear system and to decouple the strong-coupling MIMO system. It is also convenient to use the penalty function to solve the restriction.
该算法对非线性系统不需要进行线性化，对带强耦合的MIMO系统不需要解耦，使用罚函数处理约束也非常方便。
It is no need for this algorithm to linearize the nonlinear system and to decouple the strong-coupling MIMO system. It is also convenient to use the penalty function to solve the restriction.
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