阐述了具有饱和控制器及状态时滞的连续线性系统的稳定性。
The stabilization of linear continuous-time systems with time delay in the state and subject to saturating controls is addressed.
利用连续线性系统的随机振动理论，研究非均匀地基土层地震的动力反应问题。
Using the stochastic vibration theory of continuous linear system, this paper studies the dynamic response problem of non-homogeneous soil foundation.
提出了一个新的迭代学习控制(ilc)更新律用于连续线性系统的有限时间区间跟踪控制。
A new iterative learning control (ILC) updating law is proposed for the tracking control of continuous linear system over a finite time interval.
本文讨论了一类具有不确定噪声的连续广义线性系统的鲁棒状态估计问题，文章提供了一种比较实用的状态估计方法。
The problem of robust state estimation for continuous-time singular linear systems with un-certain noise is considered. A kind of practical algorithm of optimum recurrence estimation is obtained.
针对一类不确定线性系统，采用连续增益故障模型提出了考虑执行器故障的保性能可靠控制问题。
For a class of uncertain linear system, a more practical model of actuator faults than discrete fault model is considered.
将非线性系统等价时变线性化方法推广到连续非线性系统，设计了连续非线性系统的广义预测控制律。
The idea of the equivalent linearization is extended to a class of nonlinear continuous system. The continuous nonlinear generalized predictive controllers for the nonlinear system are designed.
仿真结果表明，在没有被控对象先验知识的情况下，利用该方法能准确地建立连续非线性系统的逆模型。
Simulation results show that the presented method can accurately construct the inverse dynamic model of the continuous nonlinear system even without prior knowledge about the controlled plant.
针对一类不确定非线性系统，本文提出了一种具有连续监督控制功能的组合型自适应模糊控制方法。
For a class of uncertain nonlinear systems, a combined adaptive fuzzy control method with the function of continuous supervisory control is proposed in this paper.
采用模糊动态模型，对连续时间的高阶非线性系统进行了模糊控制。
An adaptive fuzzy controller is developed for continuous time nonlinear systems with high order by using fuzzy dynamic model.
针对连续搅拌箱式反映器，提出一种闭环非线性系统容错控制的混合方法。
This paper presents a unified fault tolerant control approach for nonlinear systems based on a continuous stirred tank reactor (CSTR).
对一类不确定非线性系统，提出了一种基于模糊逻辑的连续滑模变结构设计方法。
A scheme of fuzzy logic based the continuous sliding mode control for a class of nonlinear systems in the presence of uncertainties was developed.
本文初步解决了非线性系统的分区域线性化控制律的连续性和系统的稳定性问题，简要介绍了一个应用例子。
Some preliminary results of continuity and stability of nonlinear system with piecewise linearized control are given. An application of the results is discussed briefly.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
针对不确定离散线性系统，采用连续增益故障模型，提出了考虑执行器故障的保性能可靠控制问题。
For uncertain discrete-time linear systems under continual gain actuator fault, optimal guaranteed cost reliable control with continual gain actuator fault is presented.
其中的SIMULINK工具箱可以模拟线性或非线性、连续或离散或两者的混合系统，对复杂的非线性系统仿真模拟的效果更为明显。
SIMULINK toolbox which can simulate the linear or nonlinear, continuous or discrete, or both of the hybrid systems, nonlinear system of complex simulation of the effect becomes more apparent.
提出了基于不连续的状态反馈方法，构造一类四维混沌系统的基本定理，实现了类四维简单线性系统的混沌反控制。
The basic theorem for constructing a kind of 4-dimensional chaotic system is presented based on the feedback control method under discontinuous state.
就此意义来说，非线性系统的在线辨识相当于系统的准线性化或连续线性化过程。
In this sense for a nonlinear process the on-line identification is necessary and corresponding to a quasi-linearization or a sequential linearization procedure of process.
在本文中设计电脑辅助连续非线性系统的离散测量非线性控制问题的解决。
In this paper the problem of designing computer-assisted nonlinear control for continuously nonlinear systems with discrete measurements is addressed.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
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