The state variable approach of modern control theory provides a uniform and powerful method of representing systems of arbitrary order, linear or nonlinear, with time-varying or constant coefficients.
现代控制理论的状态变量法提供了一种统一、高效的方法来描述具有任意阶次、线性或非线性、时变或常系数的各种系统。
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。
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。
In order to get stable control for complex systems, it is necessary to consider the control problems with nonlinear, large scale time delay, time varying and coupling.
为了实现对复杂系统的稳定控制，必须考虑诸如非线性、大时滞、时变和强耦合的控制问题。
The problem of robust output tracking control for a class of affine nonlinear time varying systems with mismatched uncertainties is considered.
研究一类仿射非线性时变系统基于状态观测器的输出反馈跟踪问题。
It is well known that nonlinear time-varying systems are very difficult to control; their controllers are very difficult to design even with modern control theory.
众所周知，非线性时变系统极为难于控制，即使利用现代控制理论也难以设计适当的控制器。
An adaptive inverse control scheme was proposed for a kind of time-varying nonlinear systems.
对一种非线性时变系统提出了基于神经网络的自适应逆控制方案。
There are many nonlinear time varying systems in control domain, and those systems having intrinsical nonlinear are harder to be controlled.
在控制领域中，存在着大量的非线性时变系统，其中带有本质非线性环节的系统尤其难以得到好的控制效果。
There are many nonlinear time varying systems in control domain, and those systems having intrinsical nonlinear are harder to be controlled.
在控制领域中，存在着大量的非线性时变系统，其中带有本质非线性环节的系统尤其难以得到好的控制效果。
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