AC servo system is a kind of complex and nonlinear Time-varying systems.
交流伺服系统是一种复杂的非线性时变系统。
The Krasophuskii theorem about stability of time-varying systems finds wide application.
本文推广了时变系统的克拉索夫斯基定理。
In recent years, of time-varying systems of adaptive control research has been made greater progress.
近年来，对时变系统的自适应控制的研究已取得了较大的进展。
In this paper, the optimal control problem of linear time-varying systems with quadratic cost is discussed.
研究时变广义系统线性二次最优控制问题。
The control systems including networks are time-varying systems, and there are different models for different networked properties.
包含网络的控制系统是一种时变的控制系统，不同的网络特性下有不同的模型。
Through practical applications, the proposed adaptive control technique based on T-S fuzzy model is successful for time-varying systems.
通过实际应用案例表明，提出的基于T - S模型的自适应控制技术在时变系统中是成功的。
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。
The first order approximation of the partial exponential stability of nonlinear time-varying systems is investigated by linearization approach of nonlinear systems.
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。
This thesis is devoted to the investigation of stability with respect to partial variables of a class of time-varying systems and its applications in chaos synchronization.
本文研究了一类时变系统部分变元稳定性以及在混沌同步中的应用。
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 time varying singular delay differential systems will be discussed.
本文将研究时变退化时滞微分系统。
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。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
把一种新的能在线估计时变时滞系统参数的辨识算法与内模控制相结合，提出了时变时滞系统自适应内模控制算法。
Finally a stability criterion is introduced for linear non time-varying fractional-order systems.
最后介绍了一种分数阶线性定常系统的稳定性判据。
Fuzzy control has been proven to be effective in complex, time-varying and uncertain control systems.
对于非线性和时变性的不确定系统，模糊控制是一种较有效的方法。
Then stability of linear and nonlinear time-varying discrete large scale systems is studied respectively when their isolated subsystems satisfy the above condition.
然后研究当孤立子系统满足上述条件时的线性及非线性时变离散大系统的稳定性。
Based on this result, problems related to the control of (time-varying) dynamical systems are simply discussed.
基于这一结果，本文还简要地讨论了(时变)动力学系统控制中的一些问题。
Robust output feedback stabilization of linear time-varying uncertain discrete systems is studied.
研究线性时变不确定离散系统的输出反馈鲁棒镇定问题。
In order to model and simulate systems with time-varying functions or processes, a feedback process neural network model with time-varying input and output functions is proposed.
针对输入和输出均为时变函数或过程的实际系统建模和仿真问题，提出一种输入和输出均为时变函数的反馈过程神经网络模型。
The guaranteed cost filter design problem for a class of linear time varying uncertain systems is studied in this paper.
研究了一类线性不确定系统保成本滤波器的设计问题。
This study concerns admissibility problems for periodically time-varying descriptor systems.
研究了广义周期时变系统的允许性问题。
Radial Gaussian function networks based on fuzzy systems is applied to the state estimation of nonlinear time varying systems.
利用模糊系统的径向高斯函数网络对一类非线性时变系统的状态进行了估计。
A method for the identification of time-varying delay systems using hybrid particle swarm optimization is proposed.
提出了基于混合粒子群优化的时变时滞系统辨识方法。
The robust stabilization via state feedback for time-varying delays discrete-time singular systems with parameter uncertainties is discussed.
讨论含参数不确定的离散时变时滞奇异系统的时滞相关的鲁棒状态反馈稳定化问题。
This paper considers the robust stabilization problem of uncertain descriptor discrete-time linear systems with time-varying norm-bounded parameter uncertainty.
本文研究一类具有范数有界参数不确定性广义离散线性系统的鲁棒镇定问题。
The multi-level recursive prediction method has been extended to the systems with sturcture time varying and sturcture and paramer time varying together.
我们把多层递阶预报方法由参数时变系统推广到这类结构时变或结构与参数皆时变的系统上来。
New method of parameter estimation for time varying non linear distributed systems is proposed in term of orthogonality of orthogonal polynomial and differential operation matrix.
利用正交多项式序列的正交性及微分算子矩阵，论述了时变非线性分布参数系统参数估计的正交多项式法。
The problem of robust exponential stabilization of a class of uncertain dynamic systems with multi time varying delays and bounded controllers is considered.
考虑了一类具有多重时变滞后和有界控制器的不确定动力系统的鲁棒指数稳定性问题。
The problem of robust exponential stabilization of a class of uncertain dynamic systems with multi time varying delays and bounded controllers is considered.
考虑了一类具有多重时变滞后和有界控制器的不确定动力系统的鲁棒指数稳定性问题。
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