本文讨论一种新型的自学习控制系统。
设定被控系统是具有随机干扰的迭代学习控制系统。
Suppose the controlled system is iterative learning control system with random disturbance.
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.
如果你还没有使用版本控制系统之前，你可能会在一个陡峭的学习曲线。
If you haven't ever used a version control system before you might be in for a steep learning curve.
鸣禽的鸣唱控制系统已成为研究神经系统与学习、行为和发育相关的一个重要模型。
The song control system of birds has become an important model for studying neural system related to learning, behavior, and development.
该控制系统可以对非线性系统，不确定系统等进行无监督的学习控制。
This proposed control system can learn to control the system dynamically, such as nonlinear system and uncertain system.
鸣禽发声学习的控制系统主要由一条直接神经通路和一条辅助神经通路组成。
The song control system of songbird is mainly composed of direct pathway and acces - sory pathway.
本文通过对神经元学习规则的探讨，提出了一种基于引导因子的神经元改进学习规则，并将其用于实际控制系统中。
According to the learning and control ways of Neuron, this paper presents a modified method, which is based on the guiding factor, for the learning rule of neural controller.
一个神经网络控制系统能学习预测电极位置和炉子工作稳定性之间关系。
A neural network control system can learn to predict the relationships between electrode position and stability of furnace operation.
本文有针对性地对人工神经网络的各种网络模型及学习算法进行了研究，提出一了种基于人工神经网络的电厂主汽温控制系统。
This thesis researched the models and the learning algorithm of neural network, raised a main steam control system of power station based on neural network.
提出了一类基于神经元状态估计器的自适应广义极点配置控制，研究了该控制系统的网络结构和权值学习方法。
This paper presents a class adaptive pole assignment control of servo systems based on neural state estimation and develops the system structure and the weight learning algorithms.
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.
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.
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.
该文给出了一种自适应神经元的控制方法，设计了神经元网络作为控制器的智能控制系统，给出了学习规则。
An adaptive neuron control method is presented. By use of this kind of controller, an intelligent control system is designed, and its learning rules are also presented.
在控制过程中CMAC神经网络控制器经过不断学习，最终在控制系统中发挥主要控制作用。
During the control process after the unceasing learning of CMAC neural network controller, this controller would finally play main role in the control system.
该MNN网络能用于在线学习对象的动态特性，从而提供一种能提高整个控制系统性能的自适应控制实现策略。
The MNN can be used for on -line learning of the plant's dynamic characteristics and provide a kind of adaptive control strategy which can improve the whole control system's performance.
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.
基于大系统递阶控制思想，提出了一种运用再励学习算法设计歼击机自动着陆横侧向协调控制系统的方法。
A fighter safe landing lateral-directional control method is presented based on reinforcement learning algorithm (RL), using hierarchical control of dynamical large-scale systems theory.
针对具有噪声的工业过程稳态优化进程，提出迭代学习控制以期改善控制系统的动态品质。
The iterative learning control is studied for the procedure of industrial process steady state optimization in order to improve the dynamic performance of control systems.
此外，通过遗传算法对模糊神经网络的学习速率和惯性系数等进行了优化，为控制系统实现最优控制提供了有力保证。
In addition, the paper makes use of Genetic Algorithms to optimize learning rates and inertia coefficients of Fuzzy-neural network, which can ensure that the controller achieves optimization control.
该ADT2210是一个低电流接收器IC是代码学习红外遥控器控制系统。
The ADT2210 is a low current receiver IC that is the code learning infrared remote control system.
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.
本文还给出了提出的迭代学习控制律在一个电液位置伺服控制系统中的应用实例，来验证算法的有效性。
The paper also gives a case of the electro-hydraulic position servo control system to prove the validity of the proposed ILC.
全文的最后展望了网络控制系统理论的发展前景以及作者在以后的工作中需要学习和努力的方向。
Finally, the development of networked control systems theory and what it is to study for the author in the future is prospected.
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.
本文提出了一种新的基于PID型神经网络的自适应控制系统，给出了神经网络控制器的学习算法和控制系统的稳定性分析。
The paper presents a new adaptive control system based on PID-like neural network, gives the learning algorithm of this new controller and analyses stability of the control system.
本文提出了一种新的基于PID型神经网络的自适应控制系统，给出了神经网络控制器的学习算法和控制系统的稳定性分析。
The paper presents a new adaptive control system based on PID-like neural network, gives the learning algorithm of this new controller and analyses stability of the control system.
应用推荐