本文从能量最优逼近的角度论述了一种新的模型降阶方法。
In this paper, a new model reduction method is developed from the viewpoint of optimal approximation to the energy.
多尺度几何分析旨在构建最优逼近意义下的高维函数表示方法。
The aim of Multiscale Geometric Analysis is to find a kind of optimal representation of high dimension function in the sense of nonlinear approximation.
将混沌BP算法应用于非线性系统建模，以求获得全局意义下的最优逼近。
The chaotic BP algorithm is applied to nonlinear system modeling to obtain the optimal approximation in the global sense.
另外，大多方案提出的自适应律都是对最优逼近参数向量进行自适应调节。
Furthermore, adaptive laws presented in most schemes all adjust optimal approximation parameter vectors.
并通过引入最优逼近误差的自适应补偿项来消除建模误差和参数估计误差的影响。
The adaptive compensation term of the optimal approximation error is adopted to minimize the influence of the modeling error and the parameter estimation error.
在不要求最优逼近误差平方可积和上界已知的条件下，证明闭环系统全局渐近稳定，所有信号有界且跟踪误差收敛到零。
We proved the closed systems global asymptotical stable, not needing the error upper bound and the error square integral, all the signals are bounded and the tracing error convergence.
在不要求最优逼近误差平方可积和上界已知的条件下，证明闭环系统全局渐近稳定，所有信号有界且跟踪误差收敛到零。
We proved the closed systems global asymptotical stable, not needing the error upper bound and the error square integral, all the signals are bounded and the tracing error convergence.
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