该方法是在原有模糊聚类法的基础上，推导出的在线自适应模糊推理算法，可应用在时变非线性系统参数在线辨识中。
The method is a kind of on line adaptive fuzzy reasoning which is deduced based on fuzzy clustering method. The method can be used in parameters identification of time-varying system.
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.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.
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.
针对多变量饱和线性系统的时变参考输入跟踪问题，研究了一种组合非线性输出反馈控制器的设计方法。
A new composite nonlinear output feedback controller is proposed to track the time-varying reference inputs for multivariable linear systems with input saturation.
由于移动机器人是一个复杂、时变、强耦合的非线性系统。
It is well known that mobile robot system is complicated, time-varying and strong coupling system.
汽车转向系统是一个缓慢变化的非线性系统，在一个较短的时间间隔内，可以用一个参数时变的二阶线性系统对其动力学特性进行描述。
The vehicle steering system is a slowly varying non-linear system, in a short time interval, its dynamic characteristics can be described by a parameter-varying second-order linear system.
研究了时变广义线性系统和时变广义非线性系统的稳定性问题。
In this paper, the problems of stability for linear singular systems and nonlinear singular systems with time-varying are studied.
通过非线性系统的线性化方法，讨论了一类非线性时变微分系统的解关于部分变量指数稳定的一次近似。
The first order approximation of the partial exponential stability of nonlinear time-varying systems is investigated by linearization approach of nonlinear systems.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
Then two better methods that one of correction of model error and the other of nonlinear filter by Strong Tracking Filter were proposed.
对于像航空发动机这样复杂的非线性系统，基于对象精确数学模型的PID控制方法的自适应性较差，难以适应具有非线性、时变不确定性的被控对象。
Complicated nonlinear systems such as aircraft engines. PID control method which is based on precise mathematical model has poor adaptability and is not adaptive to nonlinear and time-variant plants.
对于像航空发动机这样复杂的非线性系统，基于对象精确数学模型的PID控制方法的自适应性较差，难以适应具有非线性、时变不确定性的被控对象。
Complicated nonlinear systems such as aircraft engines. PID control method which is based on precise mathematical model has poor adaptability and is not adaptive to nonlinear and time-variant plants.
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