Applications of the linear approximation.
线性逼近法的应用。
A segmented learning scheme is proposed to keep the learning only in the linear approximation region.
利用一个分段学习方案可保证学习控制总在有效线性近似区域内进行。
If the two preconditions are difficult to satisfy, the model error caused by the linear approximation will become difficult to control.
如果这两个前提难以满足，由线性化近似模型带来的模型误差将变得难以控制。
Finally, the linear approximation analysis is proved by example to be effective and the relation among parameters when kangaroo robot hops stably is obtained.
最后，通过实例证明了采用线性化近似分析的有效性，并获得了仿袋鼠机器人稳定跳跃时各参数之间的变化关系。
This article deals with the basic methods for solving unconstrained and constrained nonlinear problems. It describes also the linear approximation methods of nonlinear programming.
本文阐明无约束和有约束非线性问题的基本解法，并说明非线性规划的线性近似方法。
This article deals with the basic methods for solving unconstrained and constrained nonlinear problems. It describes also the linear approximation methods of nonlinear programming.
本文阐明无约束和有约束非线性问题的基本解法，并说明非线性规划的线性近似方法。
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