参考模型自适应控制可以应用于各种不同类型的模糊控制系统。
Application of MATLAB in the simulation of model reference fuzzy adaptive control system show that the result of MRFAC is satisfactry.
就输入存在饱和特性的离散时间参考模型自适应控制系统进行了探讨。
This paper researches the adaptive control system of discrete time reference model of input saturation character.
可以证明多模型自适应控制器能够保证闭环系统是输入输出有界稳定的。
The closed-loop system is proved to be bounded-input and bounded-output stable when the multiple model adaptive controller is used.
根据无模型自适应技术的特点，提出了一种模糊无模型自适应控制方法。
A fuzzy model-free adaptive control method is presented in this paper.
针对混沌系统的控制问题，提出了一种基于神经气网络的模糊多模型自适应控制方法。
Aiming at chaotic system, this paper proposes a multi-model adaptive control strategy based on a neural-gas network with fuzzy logic.
采用了具有积分性质的切换指标函数作为切换法则和最小方差的控制方法构成了多模型自适应控制器。
A switching function with integral property and minimum variance algorithm are used to set up the multiple model adaptive controller.
给定一个指标切换函数，基于多个自适应模型控制器和给定的指标切换函数构成多模型自适应控制器。
Based on the multiple controllers, a multiple model adaptive controller can be formed by using an index switching function.
同时证明，对于已知有界参考输入，多模型自适应控制可以保证闭环系统输入输出稳定，输出渐进跟踪设定值。
To the known bounded reference input trajectory, it can be proved the closed-loop is BIBO stable, and the output will track the reference input asymptotically.
针对非线性时变系统在自适应控制过程中瞬态响应差的问题，提出了一种基于多模型自适应控制的模型切换算法。
A model switching algorithm based on multi-model adaptive control is presented to solve the problem of poor transient response in the adaptive control of nonlinear time-varying system.
给出了非线性系统多模型自适应控制算法的优化模型集建立方法，解决了多模型自适应控制模型多、计算量大的问题。
By using PWL method an optimal model set of nonlinear system multiple model adaptive control algorithm is given, which reduces the heavy computation burden in multiple model adaptive control.
针对多模型方法中子模型数量过多的问题，提出一种基于模型集在线优化方案的多模型自适应控制算法，并对其实时性进行讨论。
Focus on the question of many sub models in traditional SMM, a SMM adaptive control based on online optimization method of model set is proposed.
本文介绍采用参考模型自适应控制方法来减少或消除航空射击前置计算火力控制系统的时间滞后和提高火控系统稳定性的新方法。
This paper introduces a new method which USES model self-adaptive control to decrease or eliminate the time-delay and improve the stability of Lead Computing Fire control System for fighters.
文章对此提出采用模型参考逆方法控制方案，该控制方案兼有模型自适应控制及逆系统控制等方案的特点，且具有很强的抗干扰能力。
In this paper, the model reference and inverse method which has the advantage of model self-adapted control and inverse system control and has strong anti-disturbance function was presented.
通过在控制过程中分别对控制网络和模型网络进行自适应，解决了控制对象参数的时变问题，显著改善了整个系统的鲁棒性。
With separately adapting of the control network and the model network in control, the problem of time-variance of plant parameters is solved, and the robustness of whole system is improved obviously.
通过对基于简化线性和非线性模型的自适应控制器的仿真研究，结果表明后者具有更好的收敛性。
Adaptive controllers based on simplified linear and nonlinear models are studied by simulation and the results show that the latter has better property of convergence.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
一阶加纯滞后或二阶加纯滞后，并且提出了时滞系统的模型参考自适应控制的设计方法。
And a design method of model reference adaptive control for system with pure lag is presented.
通过运用PSO算法对PID控制器参数进行在线调整，使模型参考自适应控制达到理想的控制效果。
Using the PSO algorithm to optimize the on-line PID controller's parameters, desirable control effect is obtained.
采用云模型来自适应控制蚂蚁的随机性。
针对智能车辆油门控制系统，提出了一种单神经元模型参考自适应控制算法。
Focusing on the throttle control system of intelligent vehicle, a model reference adaptive SN-PID controller is presented.
本文提出模型参考自适应张力控制系统的设计方法。
A design method of model reference adaptive tension control system is proposed.
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
针对非线性系统，提出一种基于单步预测的模型参考自适应逆控制方案。
A scheme of model reference adaptive inverse control based on single-step prediction is proposed for the nonlinear system.
提出一种新的基于神经网络的机器人模型参考自适应控制方法。
A new robot model reference adaptive control method based on neural networks is presented.
结果表明，在发动机调速系统中引入模型参考自适应控制原理，使系统性能得到明显提高。
The results demonstrate that introducing model-reference adaptive principle into the engine speed control system would evidently improve dynamic behaviour of the system.
通过实际应用案例表明，提出的基于T - S模型的自适应控制技术在时变系统中是成功的。
Through practical applications, the proposed adaptive control technique based on T-S fuzzy model is successful for time-varying systems.
选用模型参考自适应控制(MRAC)很好的解决了这些问题。
Model reference adaptive control (MRAC) was used to solve these questions.
鲁棒混杂间接型模型参考自适应控制方案。
The design and analysis of the robust hybrid indirect model reference adaptive control.
本文提出设计可控自回归滑动平均过程(CARMA)的离散时间模型参考自适应控制新方法。
A new method is suggested in this paper for design discrete-time Model Reference Adoptive control (MRAc) for controlled Auto-regressive Moving Average (CARMA) processes.
本文提出设计可控自回归滑动平均过程(CARMA)的离散时间模型参考自适应控制新方法。
A new method is suggested in this paper for design discrete-time Model Reference Adoptive control (MRAc) for controlled Auto-regressive Moving Average (CARMA) processes.
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