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Expert_PID
- 本程序能实现专家PID控制。专家控制的实质是基于受控对象和控制规律的各种知识，并以智能的方式利用这些知识来设计控制器。-the procedures to achieve expert PID control. Experts control of the controlled substance is based on the object and control the various law knowledge, and the intelligent use of this knowle
Conception
- 模式识别的源代码，针对大样本集中样本自动分类的程序，可以手动控制输入点！-pattern recognition source code, sample concentration on large samples of automatic classification procedure can be controlled manually input!
ourdev_180791
- 一个小型的遥控玩具飞行机器人的电子调速器控制源程序-A small remote-controlled flying robot toys of the electronic governor control source
Mpc02_ControlCard_Case
- Mpc02运动控制卡应用范例. MPC02 控制卡是基于PC 机PCI 总线的步进电机或数字式伺服电机的上位控制单元，它与PC 机构成主从式控制结构,可控制3 轴步进电机或数字式伺服电机.-Application Mpc02 example of motion control card. MPC02 Control Card is a PC-based PCI-bus stepper motor or digital servo motor control unit of the upper
Intelligent_control_and_digital_program_control_or
- 智能顺序控制与数字程序控制Intelligent control and digital program control order,很好的控制方面的资料-Intelligent control and digital program control sequence Intelligent control and digital program control order, well controlled information
neural-network-modeling
- 机器人手臂小波神经网络控制的matlab建模，simulink，源代码-Robot arm controlled by neural network modeling matlab, simulink, source code
On-State-Feedback-Control
- 状态反馈控制混沌系统 利用一种简单的线性状态反馈方法控制混沌运动 ,引导混沌系统稳定到失稳的平衡点或 周期轨道上 ,用劳斯2胡尔维茨稳定判据判定受控系统在平衡点处参数的取值范围 ,同时使用广义 Hamilton 系统理论的 Melnikov 方法分析受控系统的周期解. 通过对典型的混沌系统进行数值仿 真 ,证实了该控制方法的有效性.- A Linear state feedback control technique is used to guide the typical ch
huitu1
- 基于VC++的模糊控制汽车倒车仿真 介绍了基于VC++的模糊控制汽车倒车的仿真系统设计及实现过程，在建立汽车倒车数学模型的基础上，通过VC++编写模糊控制程序，并通过微软基础类（MFC）设计仿真界面，使汽车在倒车时的状态及其运动轨迹能够动态的显示。在仿真软件设计中，汽车倒车模型与控制器采用模块化设计方法，具有一定的通用性，易于扩展。通过该仿真系统可以找到汽车倒车的“死区”范围，检验并改进控制算法。实验表明用模糊控制方法控制汽车倒车，汽车运动轨迹圆滑，倒车准确，具有很好的鲁棒性。-The Si
hanshubijin
- 该程序利用自己编写的BP神经网络实现了函数逼近。函数逼近效果很好，误差控制在5 以内。-The program I have written the BP neural network function approximation. Function approximation works well, the error is controlled within 5 .
A-Fuzy-Logic-Controlled-Genetic-Algorithm-for
- A Fuzy Logic Controlled Genetic
v27-83
- Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a giv
mohu
- 模糊控制的程序 对被控对象进行模糊控制 达到理想的效果-Procedures of fuzzy control fuzzy control to achieve the desired results of the controlled object
graph
- BCDCP - Base-Station Controlled Dynamic Clustering Protocol
Untitled2
- ann The models used in MPC are generally intended to represent the behavior of complex dynamical systems. The additional complexity of the MPC control algorithm is not generally needed to provide adequate control of simple systems, which are ofte
RBF-Hammerstein
- 基于RBF神经网络的Hammerstein模型辨识,研究建立被控对象或过程数学模型的一种理论和方法-The Hammerstein model based on RBF neural network identification, research to establish the mathematical model of controlled object or process a theory and method
shenjingwanglouzhongheyingyong
- 神经网络综合应用 主要有BP神经网络的应用、PID神经网络的控制、遗传算法优化神经网络、模糊神经网络、概率神经网络-Neural network integrated applications are mainly controlled BP neural network applications, PID neural networks, genetic algorithm optimization of neural networks, fuzzy neural network, proba
BP_PID1
- 基于BP神经网络的PID控制方法设计控制器，通过BP神经网络与PID的控制相结合的神经网络控制基本原理和设计来自适应的功能调节PID的的三个参数，并根据被控对象的近似数学模型来输出输入与输出并分析BP神经网络学习速率η，隐层节点数的选择原则及PID参数对控制效果的影响。-based on BP neural network PID control method designed controller, through the BP neural network PID control with
game-theory
- We consider the scheduling of simple linear deteriorating jobs on parallel machines a new perspective based on game theory. In scheduling, jobs are often controlled by independent and selfish agents, in which each agent tries to a machine for process
fuzzy-control
- 模糊控制实现温区的恒温控制,里面给出的是一个例子-Fuzzy control thermostatically controlled temperature zones, which gives an example
5
- 基于名义的机器人滑模控制 采用滑膜控制 可以很好地克服外界干扰 对控制的实时性和稳定性有提高-Based on the name of the robot is controlled by sliding synovial control may well overcome external interference and stability of the real-time control has been improved