非线性系统

非线性系统的改进BP神经网络状态观测器设计

A State Observer Design of Improved BP Neural Network in Nonlinear System

基于MATLAB语言的非线性系统相空间分析

Phase space analysis of nonlinear system based on MATLAB

非线性系统的BP神经网络在线建模及故障检测

BP neural networks based on on line modelling and fault detection in nonlinear systems

文章讨论了一类含匹配参数的不确定非线性系统中的鲁棒H∞控制问题；

This paper addresses a robust control problem of a nonlinear system with matched parameter uncertainty .

PWM用于控制非线性系统的研究

On the application of PWM to the Control of Nonlinear System

利用V函数方法研究非线性系统的实用不稳定性。

The problem of practical instability of nonlinear systems is considered by means of the V-function method .

并用非线性系统LYAPUNOV数学理论进行了稳定性分析。

Stability analysis is put up based on Lyapunov nonlinear system theory .

MIMO非线性系统状态估计的递推Monte-Carlo方法研究

Research on Recursive Monte-Carlo Method for MIMO Nonlinear System State Estimation

MIMO非线性系统的多模型建模方法

A Multi-Model Modeling Approach to MIMO Nonlinear Systems

采用改进PSO的非线性系统T-S模糊模型辩识

T-S Fuzzy Model Identification for Nonlinear System Based on Improved PSO

非线性系统故障诊断的Volterra模型方法

Volterra model method for fault diagnosis of a nonlinear system

针对带有未知但有界（UnknownButBounded-UBB）噪声的非线性系统的建模及其故障检测问题，提出了一种集员辨识与T-S模糊模型相结合的非线性系统建模及其故障检测算法。

A modeling method is proposed and applied in fault detection for nonlinear systems with unknown but bounded noises .

针对多输入多输出多重时延非线性系统，提出了一种自适应模糊跟踪控制方案.该方案有机综合了自适应控制和H∞控制。

This paper presents an adaptive fuzzy tracking control scheme for MIMO nonlinear systems with multiple time delays . The scheme synthesizes adaptive control and H-infinity control .

用输入-状态线性化控制一类非线性系统Hopf分叉

Control of Hopf bifurcation in a certain class of nonlinear system by using input-state linearization

尤其对于时变或非线性系统，随着生产过程或负载变化使系统模型发生改变时，PID控制器参数往往不能及时被调整。

The PID controller parameters are always not well tuned in time especially when the process is time variant and nonlinear or has large and frequent load disturbance .

SISO高阶非线性系统的模糊滑模控制方法

Fuzzy sliding-mode control for higher-order SISO nonlinear systems

具有Hammerstein形式的非线性系统广义预测控制

Generalized Predictive Control of Nonlinear Systems of the Hammerstein Form

对于像航空发动机这样复杂的非线性系统，基于对象精确数学模型的PID控制方法的自适应性较差，难以适应具有非线性、时变不确定性的被控对象。

Complicated nonlinear systems such as aircraft engines . PID control method which is based on precise mathematical model has poor adaptability and is not adaptive to nonlinear and time-variant plants .

分别采用二次核函数以及高斯RBF核函数，利用训练数据对线性和非线性系统进行黑箱辨识。

According to the train data , linear and nonlinear systems ' black_box identification is performed by using SVM with quadric polynomial and Gaussian RBF kernel respectively .

然后，采用最小二乘法求得T-S模糊模型的规则后件参数，从而建立起非线性系统的T-S模糊模型。

Secondly , the consequent parameters of rules are calculated by the least squares estimate . Thus , the T-S fuzzy model is set up .

异步电动机是一个复杂的多变量非线性系统，文章利用Matlab软件中的S函数编程建立异步电动机模型，并通过仿真验证了其正确性。

Asynchronous motor is a complex nonlinear system which contains many variables . This paper describes a kind of method to set up motor model using S-Function in Matlab software and the correctness is tested by emulation .

针对基于T-S模糊模型的非线性系统建模问题，提出了一种基于自组织神经网络的新方法。

In this paper , a novel method based on self-organization neural map is presented for fuzzy modeling of nonlinear systems based on the T-S fuzzy model .

将非线性系统模型匹配问题（MMP）应用于精馏塔产品质量控制器的设计，得到精馏塔的MMP非线性控制器。

A MMP nonlinear controller for a distillation column is deduced by utilizing the model matching problem of nonlinear system for the controller design of a distillation column .

将T-S模糊模型和自适应神经网络与先进的鲁棒控制技术有机结合，提出了一套比较实用的复杂非线性系统的重构控制方法。

Based on advanced robust control techniques and combined with T-S fuzzy model and adaptive neural network , a set of reconfigurable control methods are proposed for complex nonlinear system .

针对非线性系统辨识问题，提出了一种基于Volterra级数模型的非线性系统的全解耦RLS自适应辨识算法。

Aiming at the identification problem for the nonlinear system , a fully decoupled RLS adaptive identification algorithm for nonlinear system based on Volterra series is presented in this paper .

采用模糊T-S模型和模糊观测器对非线性系统建模，引入自适应模糊逻辑系统补偿器用来消除建模误差对系统稳定性的影响。

Fuzzy T-S model and fuzzy observer are used to model the nonlinear systems . The adaptive fuzzy logic systems are introduced to eliminate the effect of the modeling errors for the system stability .

针对一类具有未知不确定性的非线性系统，提出了一种基于观测器的自适应不对称高斯基函数网络（AGBFN）跟踪控制方案。

An observer-based adaptive asymmetric Gaussian basis function network ( AGBFN ) tracking control scheme is designed for a class of nonlinear system with unknown uncertain nonlinearities .

Kovalev教授提出的多轨线求逆方法引入仿射非线性系统，在一定条件下使不可逆系统成为可逆。

Kovalev put forward the multi trajectory searching inversion method to system ( 1.2 ) . The author introduces this method into affine nonlinear system . With this method , a non invertible system can be made invertible in certain conditions .

用输入&输出模型描述的非线性系统的分散鲁棒自适应控制

Decentralized Robust Adaptive Control of Nonlinear Systems Represented by Input-Output Models

由自由振动响应识别非线性系统参数的一种方法

A Method of Identification of Nonlinear System Parameters from Free Response