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.
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。
If you haven't ever used a version control system before you might be in for a steep learning curve.
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。
The song control system of birds has become an important model for studying neural system related to learning, behavior, and development.
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。
This novel learning control mechanism, which does not depend upon too much about the nonlinear system, gives an exciting alternative for studying nonlinear control system.
这种方法不完全依赖于非线性对象的数学模型，因而为非线性系统的学习控制提供了一种有效的研究方法。
Research on Learning Control with distal teacher of chaotic dynamical system.
连续混沌动力学系统的远程学习控制研究。
It is shown in the experiment that this object function converges rapidly, and could improve both the learning speed and robustness of such speed servo control system.
通过实验研究，表明该方法收敛速度快，学习能力强，并提高了系统的鲁棒性，证实了其在电机速度控制中的有效性。
The research results show that using iterative learning control algorithm can improve the tracing accurate of the force system.
研究结果表明，采用迭代学习控制算法可以有效地提高力系统的跟随精度。
This paper proposes a learning control based high-speed scanning mode for an AFM system.
本文针对原子力显微镜系统，提出了一种基于学习控制的快速扫描模式。
Theoretical analysis indicates that iterative learning control algorithm is robust if initial shift and System parameter disturbance within limited bound.
理论分析表明，当系统状态初值漂移和系统参数扰动在一定范围内，迭代学习控制算法关于是鲁棒的。
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.
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。
A new iterative learning control (ILC) updating law is proposed for the tracking control of continuous linear system over a finite time interval.
提出了一个新的迭代学习控制(ilc)更新律用于连续线性系统的有限时间区间跟踪控制。
By PD controller which is used to make system more stable, the system can reach ideal control effects with the feed forward neural learning controller.
PD反馈控制器用于使系统达到稳定，同时和前馈的神经网络学习控制器一起使系统达到理想的控制效果。
During the control process after the unceasing learning of CMAC neural network controller, this controller would finally play main role in the control system.
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。
For vector control AC drive system, the thesis presented a fuzzy neural network speed controller based on reinforcement learning.
针对矢量控制交流调速系统，该文提出并设计了一种基于再励学习的模糊神经网络速度控制器。
Structure model of online learning control for lane keeping system is designed. It provides the theoretical fundament for further study on online learning control in the future.
并设计了车道保持系统在线学习控制结构模型，为下一步实现真正的在线学习控制提供了理论基础。
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.
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。
Model reference control and repetitive control were applied in multi-channel electric hydraulic synchron-force servo loading system, and a new control method based on online learning was put forward.
将模型参考控制和重复控制相结合应用到多通道电液力同步加载系统中，提出了一种在线学习控制的新方法。
So, a kind of iterative learning control algorithm is given based on confirming comparative degree of X-Y table system, and it is applied to the force control sub-space.
对此，在确定X-Y定位平台系统相对度的基础上提出一种送代学习控制律，并将其应用在力控制部分。
The cognitive learning theory based on the information theory, control theory and computer science is the theory foundation of information control son-system of the distance education system.
基于信息论、控制论和计算机科学的认知学习理论是远程教育系统信息控制子系统的理论基础。
The actual output trajectory of the system achieved better convergence to the desired trajectory by using the iterative learning control algorithm.
利用该算法进行学习控制，使系统的实际输出能更好地收敛于系统的理想输出。
The theory of iterative learning control was used to ensure the astringency and stability of ILC in single-in-single-out non-linear system.
基于迭代学习控制的基本原理，阐述了单输人单输出非线性系统中il的收敛性和稳定性的一般性结论。
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.
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。
The simulation test verify the controlled system with random disturbance can reached to stability by using improved iterative learning control law but not the traditional control law.
通过仿真试验检验了改进的迭代学习控制律能够使得具有随机干扰的被控系统达到稳定，而传统的控制律则不能。
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.
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。
System identification plays an important role in high performance automation technologies such as adaptive control and learning control.
系统辨识是高性能自动化技术(如适应控制与学习控制)中的重要内容。
For Variable Valve Timing (VVT) system, a kind of self-learning control method was proposed.
针对可变相位机构，提出了一种自学习型的控制方法。
Aimed at the problem of iterative learning control for nonlinear discrete time-variant system, the improved iterative learning control algorithm is given.
针对非线性离散时变系统的迭代学习控制问题，提出了一种改进的迭代学习控制算法。
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.
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。
It is difficult for the modeling of the tunnel ventilation system, thus two kinds of the learning control strategy for tunnel ventilation are stated.
隧道通风系统的建模较困难，提出了两种隧道通风控制的学习控制策略。
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.
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。
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