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稳定收敛

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It adopts the voltage stability of distribution system as the object function, and uses the improved particle swarm optimization algorithm which can trace dynamically the environment's change to make the real-time dynamically reconfiguration of distribution system, and proposes a new coded form which divides the particle module according to the topological structure of distribution system, and then avoids the convergence precociously via the community characters of DPSO.

它以配电网络电压稳定为目标函数,采用可以动态跟踪环境变化的改进粒子群算法对现有典型的辐射状网络进行动态实时重构,并提出了一种新的编码形式,按照系统的拓扑结构划分粒子种类,从而利用改进粒子群算法的社区特性避免过早收敛。

In Section 2 of Chapter 1, we develop the SDA algorithm from a new point of view and show its quadratic convergence under assumptions which are weaker than stabilizability and detectability.

并且我们可在比可稳定化与可侦测化更弱的假设条件下,更进一步证明此一保结构算法的二次收敛性。

Theoretical analysis and experiment results prove that our presented technique is one of the fastest techniques for the stable, real-time animation of a kind of non-rigid objects.

进行织物悬垂模拟的实验结果表明,新的算法在求解过程中是收敛和稳定的,算法在实时性上较已有的方法有一定的优越性,同时该算法得到了良好的视觉效果。

By integrated Lyapunov stability analysis, it is guaranteed that all of the closed-loop signals are bounded, and the tracking errors converge exponentially to a residual set, whose size can be adjusted by changing the design parameters.

藉由完备的李雅普诺夫稳定度分析,证明所有闭回路信号是有界的,且追踪误差至少可指数收敛至一残局,其大小可藉由调整参数任意控制。

A filtered transformation and a stochastic control Lyapunov design method are applied to Marino-Tomei systems driven by Wiener noises of unknown covariance. A parameter adaptive law and a control law are obtained to ensure that the closed-up systems are noise-to-state stable and the tracking error can converge to a small residual set around the origin in the sense of mean quartic value in average.

通过滤波变换,采用随机控制Lyapunov设计方法,对于受方差未知的Wiener噪声干扰的Marino-Tomei非线性系统,给出了参数自适应律和控制律,使得闭环系统成为噪声--状态稳定的,并且跟踪误差的4次均方值在时间平均意义下收敛到一个足够小的区域内。

Further, the convergence analysis and stability criterion will be derived and the computer simulation will justify our analysis.

更进一步,推导出它的收敛分析及稳定条件,并在电脑模拟得到验证。

The improved BP is fast and stable in convergence, and easy to pick out partial minimum.

改进后的BP网络具有收敛速度快、稳定、易于跳出局部极小值的特点。

Computer simulation results show that the algorithm is relatively simple genetic algorithm for for solving high precision, fast convergence and stable performance is good.

计算机仿真结果显示,该算法较简单遗传算法求解精度高,收敛速度快且稳定性能好。

Experiments show that this method performances a faster and more stable convergence than dwMDS algorithm which is based on SMACOF algorithm.

实验表明该迭代算法收敛快速且稳定,比基于SMACOF算法的dwMDS算法在定位精度上有明显的提高。

The reformed BP held a chrematistics of fast and stable convergence speed and easy to get away from minimized area.

改进后的BP网络具有收敛速度快、稳定、易于跳出局部极小值的特点。

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