信道模型为一线性时变系统。
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.
线性时变系统在自动控制的理论和应用方面都有重要的意义。
Linear time - varying system plays important role in control theory both in theoretical and practical aspects.
本文讨论了船舶线性非时变系统及线性时变系统运动的稳定。
In this paper, The stability of a ship with linear time variation and non-time variation motion system was discussed.
本文讨论了带有结构性不确定的线性时变系统的二次镇定问题。
In this paper, the quadratic stabilization of linear time-varying system with structural model uncertainty is discussed.
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.
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.
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.
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.
本文提出对一种由互连子系统组合而成的线性时变系统的分散自适应控制算法。
The decentralized adaptive control for a class of time varying linear systems which are composited by interconnected subsystems is discussed.
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.
最后文章针对多输入多输出线性时变系统提出了一种迭代学习控制算法，证明了算法收敛的充分必要条件。
Finally, an iterative learning algorithm was presented for a MIMO linear time-varying system in the paper and a necessary and sufficient condition for the existence of convergent algorithm was proved.
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.
捷联惯导系统的卡尔曼滤波模型在传递对准时，为线性时变系统，而线性时变系统的可观测性分析比较困难。
During a transfer alignment of strapdown inertial navigation system, Kalman filter models are linear time varying system whose analysis of observability is difficult.
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.
由于T_S模糊模型每条规则的结论部分是一个线性模型，因此整个模糊模型可以看作一个线性时变系统，从而将模糊预测控制器中的非线性优化问题转化为一个线性二次寻优问题，以方便求解。
Since the conclusion part is linear, the T_S fuzzy model can be treated as a linear time_varying system, the nonlinear program in NMPC turns into a linear quadratic problem that can be easily solved.
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.
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.
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.
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.
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