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首页> 外文期刊>Neural Networks: The Official Journal of the International Neural Network Society >A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks
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A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks

机译:一种非线性系统的有限时间稳定化的新切换设计及其在神经网络中的应用

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摘要

This paper is concerned with the optimal finite-time stabilization problem for nonlinear systems. For the given stabilization strength, a new switching protocol is designed to stabilize the system with a fast speed. The obtained protocol covers both continuous control and discontinuous one under the framework of Filippov solutions. Some criteria are discussed in detail on how to choose an optimal protocol such that the finite stabilization time can be shortened. Finally, the main theory results are applied to the general neural networks by one numerical example to illustrate the effectiveness of the proposed design method.
机译:本文涉及非线性系统的最优有限时间稳定问题。对于给定的稳定强度,设计了一种新的切换协议以快速稳定系统。所获得的协议在Filippov解决方案的框架下涵盖了连续控制和不连续控制。详细讨论了一些有关如何选择最佳协议以缩短有限稳定时间的标准。最后,通过一个数值例子将主要理论结果应用于通用神经网络,以说明所提出的设计方法的有效性。

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