Switched systems are widely used in many practical problems, such as communication networks, power systems, robotic walking control systems and sampled-data control systems and so on.
切换系统在现实生产中有着广泛的应用背景,如通讯网络、电力系统、机器人行走控制系统以及采样数字系统的控制等。
In this paper, we mainly study a kind of multirate nonlinear sampled-data control systems, and discuss the stability properties of its solution while its sampler produces quantization during sampling.
本文主要研究一类多步长非线性采样控制系统,探讨系统进行采样过程中产生量化误差的情况下其解的稳定性质。
As a direct design procedure for the digital controller, sampled data systems control has received wide attention in these years.
采样控制作为一种数字控制的直接设计方法,近年来引起了广泛的重视。
The Robust stability of sampled data control systems is analysed based on some properties of matrix norms.
借助矩阵的范数概念,对采样控制系统鲁棒稳定性进行了分析。
A sampled-data control system approach is presented to a class of affine nonlinear networked control systems described by a hybrid dynamic system model.
利用采样数字控制系统的方法分析了一类混杂动态系统模型描述的仿射非线性网络控制系统的稳定性问题。
The robust stability for sampled-data systems under perturbations to the system matrix and the control matrix in the continuous-time sys tems is also analyzed.
同时分析了连续系统中,系统矩阵和控制矩阵均有扰动时,采样系统鲁棒稳定性的结果。
The investigation of sampled-data systems is motivated primarily due to the widespread use of digitally implemented controller in present-day feedback control of continuous time systems.
当今连续受控系统中数字控制器的广泛运用促进了对采样数据控制系统的研究。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
应用推荐