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.
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.
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.
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.
本文以斯坦福机械手臂为研究对象，对被控对象建立离散时间模型，并建立自适应控制器。
In this paper, the dynamic characteristics of Stanford arm manipulator is described by a discrete time model, and the adaptive control of Stanford arm is studied in this paper.
在分析了船用舵机电液伺服单元的基本原理和数学模型的基础上，设计了单神经元自适应PID控制器。
By analyzing the basic principle and mathematics model of an electro-hydraulic servo unit for ship rudder, this paper designs a single neuron adaptive PID controller.
研究了非线性的神经网络模型参考自适应控制器设计问题。
The design of adaptive controller for the chaotic neural network model reference is studied.
本文提出了用神经网络模型参考自适应控制器对加工过程进行控制的方法。
This paper proposes a method of using neural network model reference adaptive controller to control machining process.
本文介绍带有未建模动态的倒立单摆非线性模型的全局自适应实际跟踪输出控制器的设计。
This paper introduces an adaptive practical output tracking control algorithm for inverted pendulum which is a nonlinearly parameterized system with unmodeled dynamics.
本文导出了基于对象CARMA模型的多变量广义预测自适应控制器，并将这种新的控制方法应用于航天器轨道控制中。
It is presented in this paper a multivariable generalized predictive adaptive controller based on CARMA model and its application in the orbit control of spacecraft.
介绍了模型参考单神经元自适应控制器在液位控制中的应用。
It is recommended for the application of the model reference single nerve cell self-adapt controller in the hydraulic digit control.
本文提出一种新的模型参考自适应模糊控制器，并应用于步行机器人关节速度伺服控制。
This paper presents a new adaptive fuzzy control scheme and its application to speed servo control for a quadruped robot.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
本文利用输出误差直接自适应控制算法对一具体对象的模型参考自适应控制器进行设计。
This paper discusses the design of model reference adaptive control systems based on the direct output error adaptive control algorithm.
该方法使用一个自适应小波网络和多个固定小波网络作为子模型，针对每个子模型设计相应的小波网络控制器。
Several fixed models with one adaptive model are used as sub-models in this method. And the wavelet networks controllers are designed according to the corresponding identifiers.
基于模型参考自适应模糊控制和李亚普诺夫第二方法，提出了一种自适应模糊控制器设计的新方案。
A new design scheme of adaptive fuzzy controller is proposed based on the model reference adaptive fuzzy control (MRAFC) and Lyapunov s second method.
通过对参数的自适应逐步改善基于模型的控制器的性能，并且提出了一种新的自由漂浮机械臂关节空间自适应控制器。
Thus, we employ parameter adaptations to improve the performance of model based controllers, and we have also proposed a novel joint-space adaptive controller for free-floating space manipulators.
本文对采用继电型自适应律的模型参考自适应控制系统提出了一种新的设计方法，并获得一种降阶自适应控制器。
This paper deals with the design problem of a model reference adaptive control system using relay-type adaptive law. A novel design method is presented and a reduced adaptive controller is obtained.
本文给出了一种间接自适应模糊控制器，它通过在线模糊系统辨识得到控制对象的模型，然后根据所得模型在线地设计模糊控制器。
The paper gives a indirect adaptive fuzzy controller . We obtain the model of the plant by fuzzy system identification online, then design the fuzzy controller online according to this model.
用自适应过程减小参数不确定性的影响，并通过动态滑模控制器的高鲁棒性抑制机器人模型中的未知非线性动力学及测量噪声等的影响。
The adaptive process extenuates the influence of parameter uncertainty, and the robustness of the dynamic sliding mode control inhibits the influence of unknown dynamics and measurement noise.
针对液压弯辊系统数学模型的非线性、时变特性，本文设计了一种模糊神经网络模型参考自适应控制器。
In view of the time-variable and nonlinear characteristics of mathematical model of hydraulic bending roll system, this thesis design a new nonlinear adaptive controler based on fuzzy neural network.
指出无模型控制器是一种结构自适应控制器，它是“建模与控制一体化”，冲破p、I、D和线性框架的束缚的产物。
The model free controller is a structure adaptive controller, which is a product of the approach of modeling and control unity and the concepts of PID and linear frame.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
针对多模型控制方法中模型数目巨大，计算时间长等问题，提出了分层递阶结构多模型自适应前馈解耦控制器。
To solve such problem as too many models and long computing time, a hierarchical multiple model adaptive decoupling controller is designed.
针对仿真转台系统的时变性、模型的不确定性等特点，提出采用基于遗传算法的PID自适应控制器，实现控制器参数的在线自寻优。
A adaptive PID controller is presented for the time-variant and uncertainty of simulator system. The self-tuning of PID parameters online is realized using the controller.
该算法将预测控制与多模型思想结合，通过模糊自适应加权算法计算权重，采用动态矩阵控制优化控制器参数。
The weights are calculated by fuzzy adaptive weight algorithm and the controllers are optimized by dynamic matrix control algorithm.
该算法将预测控制与多模型思想结合，通过模糊自适应加权算法计算权重，采用动态矩阵控制优化控制器参数。
The weights are calculated by fuzzy adaptive weight algorithm and the controllers are optimized by dynamic matrix control algorithm.
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