非线性系统广泛存在于自然界。
对于温度控制，它是非线性系统。
分岔与混沌是一类非线性系统的频率响应。
Bifurcation and chaos are the frequency response of the nonlinear systems.
研究了一类随机非线性系统的鲁棒自适应跟踪问题。
Robust adaptive tracking problems for a class of stochastic nonlinear systems were investigated.
非线性系统的故障诊断是该领域的热点与难点问题。
The diagnosis in the nonlinear systems is the hot and difficult subject in this field.
该方法不仅适用于线性系统，而且适用于非线性系统。
The method is suitable not only for nonlinear systems, but also for linear systems.
研究具有非线性参数化的非线性系统的输出跟踪问题。
In this paper, the output tracking of the nonlinear system with nonlinear parameterization is considered.
本文讨论对称及广义对称非线性系统的可达性与可控性。
This paper discusses the reachability and the controllability of symmetric and generalized symmetric systems.
应用非线性系统跟踪控制方法对倒立摆系统的控制进行研究。
The stable control of the inverted pendulum system is studied with the nonlinear tracking control method.
提出了一种基于FSQP算法的约束非线性系统最优控制方法。
FSQP algorithm based method for constrained nonlinear system optimal control problem is developed.
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。
In chapter four, indirect fuzzy sliding mode control for a class of nonlinear systems is discussed.
与分段等效线性化方法相结合，也可用于某些非线性系统的响应计算。
Combined with the piecewise linearization, it can be used to compute the response of some nonlinear system.
由SVM辨识非线性系统的逆模型作为前馈控制器，形成直接逆控制。
SVM were used to identify the inverse model of nonlinear system, and this inverse model was used as feed-forward controller to design direct inverse control.
该控制系统可以对非线性系统，不确定系统等进行无监督的学习控制。
This proposed control system can learn to control the system dynamically, such as nonlinear system and uncertain system.
非线性系统的微分几何理论是目前研究非线性系统控制的一个重要方法。
Differential geometry method is an important approach in the researches of control of nonlinear system.
采用模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using model as an approximation for nonlinear system, the nonlinear system has been fuzzified into local linear model.
最后，文章还指出了非线性系统理论尚未解决的问题，并指出了其发展前景。
At last, the article points out some unresolved problems on nonlinear system theory, and discusses some trends oft he nonlinear system.
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。
The model-free control is especially useful for real nonlinear systems whose model parameter are very difficult to be identified and time varying.
在被调整模糊系统基础上，提出了一种非线性系统在线估计参数的在线辨识算法。
Moreover, based on this modified fuzzy system, the paper presents an on line identifying algorithm with which the on line parameter estimation of nonlinear system is realized.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
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。
Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines.
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 orders and modeling are very difficult to be known and time varying.
采用T - S模糊动态模型描述非线性系统，并将非线性系统模糊化为局部线性模型。
Nonlinear system is described based on T-S fuzzy dynamical model, and the nonlinear system is translated into local linear model by fuzzy method.
这也提供了一条从高维非线性系统导出可GMLVSA求解的低维非线性系统的有效途径。
This also provide a way of deducing low dimensional systems which can be solved by GMLVSA from high dimensional systems.
然而加湿器的温度系统是一个大时滞非线性系统，采用常规的PID控制无法实现有效的控制。
Since the temperature system of humidifier is a large time-delay nonlinear system, the normal PID control can not achieve the desired performance.
然而加湿器的温度系统是一个大时滞非线性系统，采用常规的PID控制无法实现有效的控制。
Since the temperature system of humidifier is a large time-delay nonlinear system, the normal PID control can not achieve the desired performance.
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