The linearization problem of general nonlinear control systems is discussed.
讨论了一般非线性控制系统的线性化问题。
This paper is devoted to the description and analysis of the topology of nonlinear control systems.
本文的目的是描述与分析非线性控制系统的拓扑结构。
For nonlinear control systems, usually the Lyapunov's direct method is employed to analyze their stability property.
长期以来，对于非线性控制系统的稳定性分析，通常采用Lyapunov直接法。
Adaptive inverse control is a very simple and highly effective way for controlling linear or nonlinear control systems.
无论对于线性的还是非线性的对象，自适应逆控制都是一种简单而有效的控制方法。
In this paper, the authors introduce nonlinear control systems theory by comparing it with linear control systems theory.
本文采用与线性系统理论比较的方法来阐述非线性控制系统理论。
In this paper, the authors introduced nonlinear control systems theory by comparing it with linear control systems theory.
本文采用与线性系统理论比较的方法来阐述非线性控制系统理论。
A method for analysing the oscillations in nonlinear control systems with relay characteristics by means of Z-transform is presented in this paper.
本文提出了用Z变换方法分析非线性继电控制系统的自振问题。
An Inverse system Method is introduced for nonlinear systems control, and the design theory for single variable nonlinear control systems is described.
介绍非线性系统控制的逆系统方法及相应的单变量非线性系统的控制理论。
Through the research in this paper, the design and analysis problems for several classes of uncertain nonlinear control systems have been properly solved.
通过本文的研究，较好的解决了几类不确定非线性控制系统的设计与分析问题。
For general nonlinear control systems, it is well-known that the differential geometry method is a type of classical method to realize local stabilization.
众所周知，对于一般非线性系统的控制。微分几何法是实现局部镇定的经典的方法。
In this paper, for a wide class of nonlinear control systems, we construct some controllers concretely. This will give some instruction to application in engineering.
本文针对一类广泛的非线性控制系统，我们构造了一些控制器，这些判据在工程实际问题中将具有一定的指导意义。
Comparison between the direct feedback Iinearization (DFL) theory and the differential geometric feedback linearization theory for nonlinear control systems is presented.
对非线性控制系统的直接反馈线性化(DFL)方法与微分几何反馈线性化方法进行了比较研究。
Based on observer method, an algorithm of actuator fault detection and diagnosis is presented for a class of nonlinear control systems with system modeling errors and sensor modeling uncertainties.
针对一类具有系统建模误差以及含传感器模型不确定项的非线性控制系统，本文提出了一种用于执行器故障检测与诊断的观测器方法。
Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines.
使用非完全控制权限的方法控制非线性系统，可以使我们的机器更好的利用自然动力。
In chapter four, indirect fuzzy sliding mode control for a class of nonlinear systems is discussed.
第四章：研究了一类非线性系统的间接自适应模糊滑模控制方法。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
The model-free control is especially useful for real nonlinear systems whose orders and modeling are very difficult to be known and time varying.
无模型控制方法非常适用于实际的阶数难以知道或难以辨识，且是时变的非线性系统。
The model-free control is especially useful for real nonlinear systems whose model parameter are very difficult to be identified and time varying.
此无模型控制方法非常适用于实际的模型参数难以辨识，且是时变的非线性系统。
In this paper, it develops a novel decentralized adaptive fuzzy control for a class of large-scale nonlinear systems with higher order interconnections.
针对一类关联项的上界是高阶多项式的关联大系统，设计了一种新的分散自适应模糊控制方法。
Neural Networks, an embranchment of nonlinear control which does not dependent on mathematic model, is adapt to controlled systems of uncertainties and highly nonlinear.
神经网络控制是非线性控制的一个分支，它基本上不依赖于系统的数学模型，比较适合于具有不确定性和高度非线性的被控对象。
Uncertain nonlinear systems control is an important topic in control theory.
不确定非线性系统控制是目前控制理论研究的一个重要课题。
A support vector machine based modeling approach and a support vector machine based controlling approach are presented to analyze and control nonlinear systems with hysteresis.
我们提出了使用支持向量机作为迟滞非线性建模和控制工具的具体算法，来分析和精确控制迟滞系统。
With the presence of time-delay and packet dropout effects in the network, the problem of robust fault detection for a class of nonlinear networked control systems is investigated.
针对同时存在网络时延和数据包丢失的网络环境，研究了一类非线性网络控制系统的鲁棒故障检测问题。
The controllability distribution problem of nonlinear singular control systems is studied.
研究非线性奇异控制系统的能控性子分布问题。
The regression orthogonal test approach can be used to optimize the control parameters for nonlinear systems.
提出了一种优化非线性系统控制参数的方法——回归正交试验法。
These study results support the application of fuzzy control to nonlinear systems in theory.
这些研究成果为模糊控制在非线性系统小的应用提供了有利的理论支持。
In this paper, nonlinear variable structure control systems are considered, and a dynamic sliding mode compensator is proposed.
本文讨论了非线性变结构控制系统的综合问题，提出了滑动模态补偿器的概念。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
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