交流伺服系统是一种复杂的非线性时变系统。
AC servo system is a kind of complex and nonlinear Time-varying 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。
An adaptive inverse control scheme was proposed for a kind of time-varying nonlinear systems.
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。
Output tracking for a class of affine nonlinear time varying systems based on state observers 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。
The problem of robust output tracking control for a class of affine nonlinear time varying systems with mismatched uncertainties is considered.
视觉跟踪系统是一个非线性时变系统，传统控制方法往往难以胜任。
Visual tracking systems are often nonlinear and temporal systems, which are hard to be treated by the traditional control methods.
在满足一定条件的情况下，该方法对非线性时变系统有较好的控制效果。
Under certain conditions, this method can be used to get a good control in nonlinear time-varying system.
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。
Radial Gaussian function networks based on fuzzy systems is applied to the state estimation of nonlinear time varying systems.
它是典型的非线性时变系统，其系统复杂，普遍存在参数变化，有外干扰等等。
It is a typical nonlinear time-varying system. The complex system has widespread changes in the parameters, outside interference and so on.
研究一类多输入多输出(MIMO)非线性时变系统的降维状态观测器设计问题。
The design problem of reduced order state observer for a class of multi input multi output (MIMO) nonlinear time varying systems is studied in this paper.
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。
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.
高速公路交通流模型是一个高阶非线性时变系统，这使得该模型的辨识问题成为一个非常困难的问题。
The macro model of traffic flow in freeway is a high order, nonlinear and time variant system which makes the problem of its identification become very difficult.
本文针对工业控制中一类常见的非线性时变系统，提出了一种利用参数反馈在线修正规则的模糊控制器；
This article puts forward a kind of self organization fuzzy controller with parameter feedback for a kind of common nonlinear time varying system in industry.
高速公路限速控制是一个非线性时变系统，难于用数学模型准确建模，提出一种模糊神经网络实现限速控制。
The control for speed limit on expressway is a nonlinear and time variable system, it is difficult to simulate with a mathematical model. A neuro-fuzzy network is proposed to solve the problem.
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.
针对非线性时变系统在自适应控制过程中瞬态响应差的问题，提出了一种基于多模型自适应控制的模型切换算法。
A model switching algorithm based on multi-model adaptive control is presented to solve the problem of poor transient response in the adaptive control of nonlinear time-varying system.
针对高速公路可变速度控制是一个非线性时变系统，难于用数学模型准确建模这一特点，提出了神经网络控制方法。
The variable speed control for freeway traffic is a nonlinear and time variable system, it is difficult to model with a mathematical model. A neural network control method is put forward.
针对高速公路限速控制是一个非线性时变系统、难以用数学模型准确建模这一特点，提出了R BF神经网络控制方法。
The control for speed limitation on freeway is a nonlinear and time variable system, it is difficult to model with a mathematical model. A control method based on RBF Neural Network is put forward.
FA467粗纱机控制系统属于大惯量、非线性时变系统，采用传统的PID和通常的自适应控制都不能满足本系统的要求。
FA467 roving frame control system is a large inertia and nonlinear system, traditional PID and self-adaption control method can not satisfy the need of this system.
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 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.
烧结是一个典型的时变、非线性、大滞后的系统，很难用一个确定的数学模型去描述整个过程。
As sinter is a typical time varying and nonlinear system with large delay time, it is difficult to describe the whole process using a mathematical model.
基于复杂工艺过程的时变、非线性、大滞后的系统，很难用一个确定的数学模型去描述整个过程。
Based on a typical time varying and nonlinear system with large delay time, it is difficult to describe the whole process using a mathematical model.
催化裂化装置是一个高度非线性、时变、长时延、强耦合、分布参数和不确定性的复杂系统。
FCCU (fluid catalysis and cracking unit) is a highly non-linear, time variable, long time delay, intensive coupling, parameter distributed, indefinite and complex 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.
因此，温室环境是多变量耦合、时变、非线性的复杂系统。
So the greenhouse is a multi-variable coupled, time-varying and non-linear complicated system.
摘要：针对高速公路交通系统的非线性、时变特性，设计了一种模糊自适应控制器，并将其应用于高速公路匝道控制系统。
Abstract: Aiming at the nonlinear and time-varying characteristics of freeway traffic system, a fuzzy self-adaptive PID controller is designed and applied to freeway ramp metering in this paper.
利用混合单调分解方法研究离散非线性、时变凸多面体系统族的线性状态约束集合的鲁棒正不变性。
In this paper, the robust positive invariance of given linear state constraint sets of uncertain discrete time systems is studied by means of the mixed monotone decomposition method.
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.
有许多复杂的系统是无法用传统方法对它定义，特别是那些非线性的动态时变系统，还不能建立有效的数学模型和控制方法。
Many complicated systems, especially nonlinear dynamic time-variable system, can not be defined by conventional methods which haven't been built effective mathematic model and control method.
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。
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。
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.
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