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。
The model-free control is especially useful for real nonlinear systems whose orders and modeling are very difficult to be known and time varying.
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。
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。
A support vector machine based modeling approach and a support vector machine based controlling approach are presented to analyze and control nonlinear systems with hysteresis.
我们提出了使用支持向量机作为迟滞非线性建模和控制工具的具体算法，来分析和精确控制迟滞系统。
Fuzzy modeling and control for a class of affine nonlinear systems is studied.
针对一类仿射非线性系统，研究其模糊建模与控制问题。
In control field, there are so many difficult problems to overcome in modeling and controller design for nonlinear and unstable systems, which makes it necessary to do research in the lab first.
在控制领域中，非线性不稳定系统的建模和控制器的设计有许多需要克服的难点问题，有必要首先在实验室中研究。
The displacement connection, the velocity connection and the acceleration connection are introduced to expand the theory of connection (TC) into dynamics modeling of nonlinear mechanical systems.
引入了位移联结、速度联结和加速度联结，从而使联结理论适用于非线性机械系统的动力学建模。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
First, a cascade model with neural networks and linear dynamic systems, which is determinate and general, is used in modeling the nonlinear dynamic systems.
首先用一种人工神经网络和线性动态系统的串级模型对非线性动态系统建模，这种模型具有很大的确定性与通用性。
Based on observer method, an algorithm of actuator fault detection and diagnosis is presented for a class of nonlinear control systems with system modeling errors and sensor modeling uncertainties.
针对一类具有系统建模误差以及含传感器模型不确定项的非线性控制系统，本文提出了一种用于执行器故障检测与诊断的观测器方法。
For dynamic systems with complex and nonlinear characteristics, the traditional modeling methods cannot describe its dynamic properties.
对于工业生产中的一些复杂、非线性系统，传统的建模方法很难描述其系统特性。
The modeling theory and method of black box 'for weakly dynamic nonlinear systems are studied and the modeling results for the practical systems are also presented in the paper.
本文研究弱非线性动态系统“黑箱”建模的理论和方法，并简要给出根据此方法建模的结果。
The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented.
论述了模糊系统和神经网络相结合的非线性系统辨识理论。
The problem of fuzzy modeling for a class of nonlinear time-delay systems with constraint inputs by fuzzy T-S model is addressed.
利用模糊T-S模型对一类输入受限的非线性时滞系统进行建模；
The problem of fuzzy modeling for a class of nonlinear time-delay systems with constraint inputs by fuzzy T-S model is addressed.
利用模糊T-S模型对一类输入受限的非线性时滞系统进行建模；
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