本文讨论一种新型的自学习控制系统。
运用神经网络自学习控制解决温度优化控制问题。
The optimal control for the temperature is achieved by using self learning control based on a neural network.
概述了智能控制和自学习控制，阐述了迭代自学习控制的基本原理。
Not only Intelligent control and self-learning control but also the basic principle of the iteration self-learning control are described.
提出了一种可在内燃机电子控制中用于优化内燃机性能的自学习控制方法。
A self learning control method is applied to optimize performance of internal combustion engine.
本文提出一种模糊神经网络自学习控制方法，并应用于窑炉温度控制系统中。
Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.
将自适应模糊控制理论引入振动控制工程领域，提出了一种基于模糊逻辑系统的在线自学习控制方法。
In this paper, adaptive fuzzy control theory is led into the research field of vibration control engineering, and an on line self study method based on fuzzy logic system is proposed.
基于逆动力学控制的思想，提出一种RBF神经网络逆控制与PID控制相结合的在线自学习控制方案。
Based on the thought of inverse system control, a method of on-line self-learning control strategy was proposed, which combines inverse control based on RBF neural network with PID control.
给出一种基于FCMAC的自学习控制器的结构及合适的学习算法，这种网络每次学习少量参数，算法简单。
FCMAC based controller structure and a simple learning algorithm were also proposed. In the learning algorithm only small parts of parameters of the FCMAC were adjusted at each learning iteration.
对相联存储自学习控制系统(AMLCS)提出了一种改进方案，可用于动态特性几乎完全未知且慢时变的工业过程。
This paper proposes an improved version of the associative memory learning control system (AMLCS) for industrial processes with almost completely unknown but slowly time-varying dynamics.
采用迭代自学习控制方法来控制气动脉宽调制位置伺服系统，通过实验研究比较了迭代自学习控制与PID控制的效果。
The iterated self-learning control method is employed in pneumatic PWM position servo system. The effects of PID method and the self-learning method are compared by means of experimental results.
结果表明，相对于常规PD控制器，该神经网络控制器具有自学习、自适应功能，位置跟踪获得了满意的控制效果。
The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
方法能实现任意维控制规则库的自学习。
The way may realize self learning multi dimension control rule base.
提出了对随机事件概率分布参数进行自学习的方法，把知识化制造单元中的不确定因素纳入任务控制的数学模型。
The uncertain factors of the knowledgeable manufacturing cell were included in the task control model by utilizing a self-study method of probability distribution parameters of stochastic events.
利用神经元的自学习功能实现神经元控制器的在线学习，并以神经元控制器作为交流伺服系统的位置调节器；
The neuron controller with its self-learning ability can realize the on-line learning algorithm, and it is adopted as the position controller of the AC servo system.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
介绍了余热处理计算机控制系统的在线温度预报模型、设定模型和参数跟踪自学习模型的建立方法。
The method of establishing on-line temperature prediction model, set point model and parameter tracing self-learning model of computerized heat recovery processing control system is introduced.
针对直接驱动直线式交流伺服系统，提出了一种基于模糊自学习的滑模变结构控制方案。
This paper presents a sliding mode variable structure control (SMVSC) method based on fuzzy self-learning for a direct-drive AC Lin ear servo system.
二是基于机器人重复控制的学习机理，提出了一种船舶航向自学习型模糊控制系统，分析了该系统的特点。
The other is ship course self-studying fuzzy control system, which is based on the learning mechanism of robot repetition control. The thesis analyses the system 's characteristic.
通过神经网络的自学习、实现PID控制参数的自适应调整。
The adapted-self tune-up for PID control was completed through learning-self of neural network.
另外一个方面，离线仿真也是对控制系统的自适应和自学习的一个有益的补充，有利于控制系统的优化。
Another, Off-line Simulation is supplement of self_learning and adaptive in control system, it is propitious to optimization of control system.
仿真结果表明，相对于常规PI控制器，该神经网络控制器具有自学习，自适应功能，速度跟踪获得了满意的控制效果。
The results show that the neutral network controller has shelf-learning and self-adaptive functions, and has better control effect in speed tracking, compared with traditional PI controller.
本文提出一种基于基因算法优化的自学习模糊控制器的设计。
This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.
实验证明，此控制系统具有较强的自适应性与自学习能力，表明了该方案的正确性与实用性。
Experiment demonstrates that the system has good self adaptability and self studying ability, certifying the correctness and practicability of the proposed scheme.
仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。
The result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.
该控制器不仅具有自学习自适应能力，而且具有自调整比例因子功能。
It has not only the learning ability and the adaptability, but also the self-adjusting factor function.
在对常规PI控制器模型分析的基础上，结合线性神经元自学习能力和适应能力强的优点，提出了一种线性神经元PI控制器模型。
Based on the analysis of a normal PI model and the merits of the self-study and good adaptability of a linear nerve cell, a new PI controller model was put forward.
新控制器在控制过程中借助模糊神经网络的自学习算法实现控制参数的在线调整。
The parameters of new controller can be adjusted on line based on the ability of fuzzy ne ural network.
新控制器在控制过程中借助模糊神经网络的自学习算法实现控制参数的在线调整。
The parameters of new controller can be adjusted on line based on the ability of fuzzy ne ural network.
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