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UAV-Flight-Control-System
- ：对某型无人机的飞行控制系统作了阐述，该飞行控制系统主要由飞行器分系统、测控与信息传输分系统、 任务设备分系统、地面支持分系统四大部分组成，飞行器分系统包括飞机机体、动力装置、导航与飞行控制、机上 电气设备及回收设备等；飞行控制技术的研究能使系统具有遥控、自主控制和应急返航能力．该无人机飞行控制系统已在某型无人机上得到应用，并已通过飞行试验验证，基本达到某型无人机的飞行控制要求．-: On a UAV' s flight control system were described,
SingleNeuralAdaptivePIDController
- 单神经元自适应pid,减少了模型误差对远程控制系统的影响,试验表明系统具有良好的鲁棒性和控制品质-Single neuron adaptive pid, a reduction of model error on the remote control systems, experiments show that the system has good robustness and control quality
Fuzzy
- Fuzzy Control Systems Design and Analysis [TANAKA& HUA O. WANG] CH1
predict
- 模拟人的思维特点,提出一种新型智能控制器:仿人逻辑预测控制器. 该控制器融合了基于泛布尔代数的逻辑控制器和基于模型的预测控制器的特点, 是一种多值逻辑混合动态系统. Matlab仿真表明, 该控制器在模型匹配时性能良好, 在模型失配时依然能满意运行, 表现出鲁棒性强, 超调量小的特点. 与其它类型人工智能控制器相比, 该控制器结构简单, 物理背景明确, 数学概念清晰, 便于在工业控制领域推广应用.-Simulation of the characteristics of people' s
invertedpendulum
- 倒立摆是一种复杂、时变、非线性、强耦合、自然不稳定的高阶系统，许多抽象的控制理论概念都可以通过倒立摆实验直观的表现出来。基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。隐含层单元数16个。输出层设置为1个输出单元。输入层采用Tansig函数，隐含层采用Logsig函数，输出层采用Purelin函数。用Matlab 6.5数值计算软件对模型进行学习训练，并与线性反馈控制逻辑算法对比，表明倒立摆控制B
fuzzylevelsim
- fuzzy control for level systems and tempeture control system
FuzzyController
- simulation for Liner control systems example. resul good
cst99working
- Sliding Mode Measurement Feedback Control for Antilock Braking Systems
testRBF
- 径向基函数网络实现非线性系统的参考模型自适应控制，matlab程序，注释非常详细。-Radial basis function networks of nonlinear systems model reference adaptive control, matlab program, very detailed comments.
Neural_Networks_in_Control_Systems
- Neural Networks in Control Systems Panos J. Antsaklis The ever-increasing technological demands of our modem society require innovative approaches to highly demanding control problems. Artificial neural networks withtheir massive parallelis
FUZZYITERATIVELEARNINGCONTROLDESINFOROUTPUT
- 模糊迭代学习控制的设计为输出 跟踪的离散模糊系统-FUZZY ITERATIVE LEARNING CONTROL DESIGN FOR OUTPUT TRACKING OF DISCRETE-TIME FUZZY SYSTEMS
Neural-Network-Design
- This book gives an introduction to basic neural network architectures and learning rules. Emphasis is placed on the mathematical analysis of these networks, on methods of training them and on their application to practical engineering problems in suc
Anti-ship_missile_control_systems
- 某反舰导弹控制系统半实物仿真平台设计 很不错的文章-Anti-ship missile control systems in a semi-physical simulation platform is very good article
Motion-Control
- 本文研究基于CAN总线的多轴运动控制系统，对于数控机床及机器人等控制系统有一定的参考价值-This research is based on CAN bus multi-axis motion control systems, CNC machine tools and robots for control of some reference value
Fusion-of-Neural-Networks--Fuzzy-Systems-and-Gene
- The past two decades have seen an explosion of renewed interest in the areas of Artificial Intelligence and Information Processing. Much of this interest has come about with the successful demonstration of real-world applications of Artificial Ne
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
Advanced-control-algorithm-
- 这是控制系统设计所用到几种先进的控制算法。有对传统的PID算法，和对原有PID的改进算法。其中有基于神经网络。-This is the design of control systems used in several advanced control algorithms. With the traditional PID algorithm, and improvements on the original PID algorithm. Including neural networks.
ffc-1.4.tar
- Key Features * Neural network design, training, and simulation * Pattern recognition, clustering, and data-fitting tools * Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and laye
Fuzzy-Control-Systems
- Fuzzy control system
pid-shenjingwangluo
- PID神经元网络，matlab，用于解耦控制算法，适用于多变量系统控制-PID neural network, matlab, for decoupling control algorithm for multivariable control systems