提出了一种基于多步递推预测的广义预测自适应控制算法。
In this paper, a generalized predictive adaptive control algorithm based on multi-step regressive predication is presented.
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.
针对单调阶跃响应的单变量系统，提出一种基于简化模型的自适应预测控制算法。
In this paper, an adaptive predictive control algorithm based on a simplified model is proposed for a stable system with monotone step response.
当前神经网络的主要应用领域有：模式识别、自适应控制、市场分析、决策优化、预测分析、知识处理等。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
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.
提出一种在用户-网络接口处利用对角递归神经网络(DRNN)作为自适应预测器，实现AT M网络自适应拥塞控制的模型。
This paper presents an adaptive congestion control model in ATM networks at the user to network interface by using a diagonal recurrent neural network (DRNN) as an predictor.
在此基础上，又设计了模糊神经网络预测控制器，实现了对非线性、大时滞系统高精度的自适应控制。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
模拟结果表明，此项缓存控制技术不仅能准确预测编码码率，而且能自适应视频的场景变化，使解码图像质量比较均匀。
Simulation result shows that the buffer control strategy can not only predict the video coder's output correctly, but also adapt the scene changes in video, get similar decoded image quality.
文章提出了一种基于滞环控制和预测控制的自适应电流控制器。
This paper presents a new self-adaptive current controller based on hysteresis control and predictive control.
现代PID控制是将自适应控制、最优控制、预测控制、鲁棒控制和智能控制策略引入到传统PID控制中的一种新型PID控制。
Modern PID control is a kind of new PID control which is introducing strategies of self adaptive control, optimal control, predicted control, robust control and intelligent control.
针对一类具有大滞后及模型慢时变的温度控制系统，提出了一种自适应预测控制方案。
Considering a temperature control system with great delay and model slow changes, a new adaptive prediction control scheme is presented in this paper.
针对工业过程的特点和控制要求，提出一种基于多步预测的神经网络自适应控制算法。
Adaptively controlling algorithm based on neural network of multi-step prediction was proposed for the industrial processes.
仿真结果表明，该动态模型能够预测输出电压。响应曲线显示出自适应模糊控制算法能够较好控制燃料电池有功和无功功率的输出。
The response curves indicate that the adaptive fuzzy control is able to control the active output power and the reactive output power of the fuel cell.
本文利用自适应预测控制方法，设计了稳定的、公平的速率控制算法。
A stable and fair rate control algorithm is presented based on adaptive predictive control.
采用自适应预测控制的方法对带有随机时延的网络化控制系统进行分析和研究。
In this paper, a novel adaptive predicted control method was proposed to analyze NCS (networked control system) with random delays.
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.
将预测控制方法应用到有源噪声控制领域，给出了一种参数在线自适应算法，该算法的收敛速度不受次级声路径响应的影响。
An active noise self-tuning model predictive control approach is derived. An on-line learning algorithm is proposed for adjusting the uncertain model parameters.
仿真结果表明了该线性时变模型和参数估计算法的可行性，表明该自适应预测控制方法具有优良的控制品质。
Simulation results demonstrate the feasibility of the model and the parameter estimation algorithm, and show that the adaptive predictive control method has excellent control quality.
控制律由最优广义预测控制(OGPC)算法和泛函连接网络(FLN)直接自适应律组成。
The control law consists of the optimal generalized predictive controller (OGPC) and the functional link network (FLN) direct adaptive law.
一类未知非线性离散系统的直接自适应模糊预测控制方法，通过引入自适应模糊逻辑系统预测控制策略。
A direct adaptive fuzzy predictive control method for a class of unknown nonlinear discrete systems is presented by introducing adaptive fuzzy logic system into the predictive control strategy.
提出了分析和设计鲁棒自适应广义预测控制系统的一般理论和方法。
A general approach for designing and the theory for analysing robust adaptive GPC systems are presented.
将基于紧格式线性化的非参数模型直接自适应预测控制方法应用到直线电机速度和位置控制中。
The forming process is simplified to a discrete single input single output system and described by a non-parametric model.
将基于紧格式线性化的非参数模型直接自适应预测控制方法应用到直线电机速度和位置控制中。
The forming process is simplified to a discrete single input single output system and described by a non-parametric model.
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