Sufficient conditions to ensure local asymptotic convergence of the afo are established 給出了該觀測器算法局部漸近收斂的充分條件。
The iterative learning control , the variable structure sliding mode control and neural network control are combined in complementary manner . the asymptotic convergence of the tracking error to zero is established 將迭代學習控制,變結(jié)構滑??刂?,神經(jīng)網(wǎng)絡自適應控制以互補的方式相結(jié)合,使得跟蹤誤差漸近收斂于零。
7 . for the purpose of analyzing its asymptotic convergence properties the evolution strategy procedures for real - valued function optimization are described . two convergence theorems , which show that under suitable conditions the evolution strategy asymptotically converges to a global minimum point with probability one , are given 對于有界閉集上的連續(xù)函數(shù),利用作者給出的一種簡潔的方法,證明了一類進化策略以概率為1收斂(幾乎處處收斂)于優(yōu)化問題的全局極小點,為進化算法的收斂性分析提供了一種新的模式。