A comprehensive fault diagnosis approach on nonlinear systems is studied by using uncertain information theory.
研究了基于不确定信息理论的非线性系统综合故障诊断方法。
Simulation results based on ideal mathematical model and industrial model show that the PID Elman network is prior to the modified Elman network in identification of nonlinear dynamic systems.
无论是理想的数学模型还是实际工业模型，计算机仿真结果均证明，将P ID型网络用于动态系统辨识具有更好的逼近效果。
Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。
This paper studies the influence of nonlinear character resistance on resonant overvoltage in power systems.
本文研究电力系统中电阻的非线性特征对谐振过电压的影响。
Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Based on the existing literature, some work has been done in this paper on stability analysis and control of nonlinear time delay systems.
本文在现有文献的基础之上，对非线性时滞系统的鲁棒稳定性及控制方面做了一些工作。
Perfect results of nonlinear systems identification used traditional methods established on the linear or intrinsically linear system are difficult to get.
使用建立在线性或本质线性系统基础上的传统辨识方法对各种非线性系统建模、辨识难以获得理想结果。
This paper presents a unified fault tolerant control approach for nonlinear systems based on a continuous stirred tank reactor (CSTR).
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。
Based on the understanding of characters about the chaotic nonlinear dynamical systems, intelligent control methods for chaotic nonlinear systems are presented.
在了解混沌非线性动力系统特征的基础上，本文就混沌非线性系统的智能控制方法进行了研究。
Neural Networks, an embranchment of nonlinear control which does not dependent on mathematic model, is adapt to controlled systems of uncertainties and highly nonlinear.
神经网络控制是非线性控制的一个分支，它基本上不依赖于系统的数学模型，比较适合于具有不确定性和高度非线性的被控对象。
The necessary and sufficient conditions are discussed on the existence of global solutions for quasilinear reaction-diffusion systems with nonlinear boundary conditions.
讨论一类带有非线性边界条件的拟线性反应扩散方程组，给出了解整体存在的充分必要条件。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
A kind of on-line fault detection scheme in nonlinear systems with modeling uncertainty is presented.
提出了一种具有建模不确定性的非线性系统在线故障检测方法。
This article describes the design method and steps of canonical from state observer of single output nonlinear systems, based on the theory of the state observers in the inverse systems method.
在逆系统方法中的状态观测器理论的基础上，给出了单输出时变系统的规范型状态观测器的设计方法与具体步骤。
In this paper, a new particle filter based on sequential importance sampling (SIS) is proposed for the on-line estimation problem of non-Gauss nonlinear systems.
针对非线性、非高斯系统状态的在线估计问题，本文提出一种新的基于序贯重要性抽样的粒子滤波算法。
So it can be concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct centralized fusion algorithm.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
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。
When nonlinear systems move on the switching surface, the output regulation and the robust output regulation can be carried out.
当非线性系统在切换面上运动时，可以实现输出调节和鲁棒输出调节。
Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.
根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。
So it is concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct a centralized fusion algorithm.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
Base on the feedback linearization theory for nonlinear systems, presenting a nonlinear model for three phase voltage source PWM and designing a nonlinear controller.
基于非线性系统反馈线性化理论，建立了三相电压型PWM整流器非线性模型，设计了一种非线性控制器。
An observer design approach based on input-output linearization for a class of nonlinear systems whose relative degree is less than its orders is proposed.
针对一类系统相对阶小于系统阶数的非线性系统，提出了一种基于输入输出线性化的观测器设计方法。
The stable problem of nonlinear systems is studied based on fuzzy dynamical model, and the global fuzzy model is translated into the system with uncertainties.
基于模糊动态模型研究非线性系统的稳定控制问题，将全局模糊系统模型表示成不确定系统形式。
The problem of disturbance estimation for a class of nonlinear systems is studied based on the observer method.
针对一类非线性系统的未知扰动，研究了基于观测器的扰动估计问题。
Based on control theories of nonlinear systems, this dissertation studies the synchronization control methods and applications of integral-order and fractional-order chaotic systems.
本文基于非线性系统控制理论，研究了整数阶混沌系统和分数阶混沌系统的同步控制方法及其应用。
A fuzzy identification method for nonlinear systems is suggested based on a new fuzzy model and weighted recursive least square algorithm (WRLSA).
提出一种基于新的模糊模型和加权递推最小二乘算法(WRLSA)的非线性系统模糊辨识方法。
The paper addresses a nonlinear controller design approach for multi-input nonlinear systems based on step-by-step transformation.
研究多输入非线性系统基于分步变换及设计思想的非线性控制器设计问题。
In this paper, a fuzzy logic control based on genetic algorithms for complex nonlinear vibration systems of multiple degree of freedom is proposed.
本文对于复杂的多自由度非线性振动系统提出了基于遗传算法的主动模糊控制方法。
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。
On account of its wide applications and complexities, the nonlinear studies on continuous dynamical systems have been attached more weight recently.
连续动力系统的非线性动力学研究，由于其应用的广泛性与问题的复杂性，近年来越来越受到重视。
应用推荐