结果表明该算法能够对动态非线性系统的输入输出快速学习和建模，优于其它小波网络的学习算法。
The results show that this algorithm can model input and output learning kernel of dynamic nonlinear system quickly, which is superior to other learning methods of wavelet network.
由于供水系统是非常复杂的动态非线性系统，在实际管网的运行中，很难以一个或几个统一的显式函数关系描述管网的工况。
Water supply system is a complicatedly dynamic nonlinear system, it is difficult to simulate by using one or several explicit functions in pipe networks.
从浑沌学理论来看，二语习得是一个复杂的、动态的、有序与无序并存的非线性系统。
According to Chaos Theory, SLA is a complex dynamic ordered-and-unordered nonlinear system.
研究非线性系统的稳定控制问题，采用模糊动态模型方法，并将全局模糊系统模型表示成不确定系统形式。
The stable problem of nonlinear system was studied. Fuzzy dynamical models were used, and the global fuzzy models were translated into the system with uncertainties.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
采用模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using model as an approximation for nonlinear system, the nonlinear system has been fuzzified into local linear model.
将非线性系统用t - S模糊动态模型描述，并将全局模糊系统模型表示成不确定系统形式。
The nonlinear systems have been described into T-S fuzzy dynamical models, and the global fuzzy models have been translated into the system with uncertainties.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
针对化工过程某些非线性系统的不对称动态特性，提出了一种基于自校正模型的多模型预测控制算法。
To handle the unsymmetrical dynamic characteristics of some nonlinear systems in chemical process, a multi-model predictive control method was proposed based on self-tuning model.
讨论了一类带有动态不确定项的非线性系统的鲁棒有限时间控制问题。
In this paper, robust finite-time control problem of nonlinear systems with dynamic uncertainties is investigated.
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.
采用模糊动态模型研究大范围、高阶非线性系统的自适应模糊控制问题。
The adaptive fuzzy control for nonlinear systems with large working range and high order is studied by using fuzzy dynamic models.
研究了含不确定外动态的仿射非线性系统的鲁棒反馈控制问题。
This paper deals with the problem of the robust feedback control of affine nonlinear systems with uncertain exogenous dynamics.
主要结果是，如果一非线性系统的零动态是逼近渐近稳定的，则能用动态输出反馈镇定。
The main result is that a discrete time minimum phase nonlinear system is stabilizable via dynamic output feedback if its zero dynamics is approximately asymptotically stable.
针对仿射非线性系统，提出了一种新型的基于动态递归模糊神经网络(DRFNN)的间接自适应控制器。
A novel indirect adaptive controller based on dynamic recurrent fuzzy neural network (DRFNN) is proposed for affine nonlinear system.
采用T - S模糊动态模型描述非线性系统，并将非线性系统模糊化为局部线性模型。
Nonlinear system is described based on T-S fuzzy dynamical model, and the nonlinear system is translated into local linear model by fuzzy method.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
本文针对具有未知参数不确定和干扰的严格反馈型的非线性系统鲁棒自适应控制提出了一种新的设计方法，即动态面控制。
We propose a new method for robust adaptive back stepping control of nonlinear systems with parametric uncertainties and disturbances in the strict feedback form.
设计中使用了2个神经网络，经离线训练的NN1实现非线性系统的逆，在线网络NN2用于补偿逆误差和系统的动态特性变化。
Two neural networks are used, the inversion of nonlinear systems is realized by off-line trained NN1, on-line NN2 is used to compensate inversion error and varieties of system dynamic property.
本文对基于动态面控制方法的不确定非线性系统的控制理论及其在船舶航向控制中的应用进行了研究。
The control problem of uncertain nonlinear system based on the dynamic surface control method is proposed, and its application to ship course controller is studied in this paper.
第二章考虑了一类含动态不确定性的非线性系统的鲁棒自适应镇定问题。
In Chapter 2, for a class of nonlinear systems with dynamic uncertainties, robust adaptive stabilization problem is considered.
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 stable problem of nonlinear systems is studied based on fuzzy dynamical model, and the global fuzzy model is translated into the system with uncertainties.
本文证明对低于4维的仿射非线性系统，可通过可逆动态状态反馈线性化的系统一定可通过加积分器线性化。
In this paper, we prove that invertible dynamic feedback linearizability is equivalent to linearizability by adding integrators for up to 4 dimensional affine nonlinear systems.
该方法将一组改进的鲁棒观测器与一个为其确定参数的动态神经网络相结合，对非线性系统进行故障诊断。
A compound approach with a set of improved robust observers on fault diagnosis on nonlinear system, with a dynamic neural network deciding parameters, is illustrated with an instance of 3-tank model.
微分代数采用动态反馈控制实现一类非线性系统的控制，平滑性是微分代数的重要概念。
Differential algebraic strategy can be applied to address the dynamic feedback control problems effectively in the nonlinear systems, with Flatness an important concept in the differential algebra.
针对一类非线性系统给出一种基于学习方法的突变故障诊断方法，设计了一个观测器，以此来检测、辨识和诊断一类非线性系统动态系统的故障。
A diagnosis method on abrupt faults of nonlinear system in learning approach is provided by a detector which is designed to detect, identify and diagnose the faults in the dynamic nonlinear system.
考虑非线性动态控制系统的全局调节问题，提出了一种状态反馈调节方法，使非线性系统是全局稳定的。
The global regulation problem of nonlinear dynamical control systems is studied, and the state feedback regulation method is presented. With the method, the nonlinear systems is globally stable.
对一般非线性系统，推导了一种综合运用非线性动态逆、自适应模糊逻辑系统和滑动模态控制进行控制律设计的方法。
For general nonlinear system, a control law design method which integrated the nonlinear dynamic inverse theory, adaptive fuzzy system and slide model control is developed.
采用T_S模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using T_S model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model.
采用T_S模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using T_S model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model.
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