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paperFangZhen
- 鲁棒自适应控制编程，对于初学者很有用，本人亲自编写，亲测有效。-Robust adaptive control program, useful for beginners, I personally prepared, effective pro-test.
H00
- 一级倒立摆的鲁棒控制matlab仿真，利用LMI解出的控制器K的值-A Robust inverted pendulum control matlab simulation, using a value LMI solve the controller K
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- 单机械臂的鲁棒自适应控制程序 鲁棒性好 加入自适应算法 克服了不确定性的问题-Robust Adaptive Single arm control program robustness added adaptive algorithm overcomes the problem of uncertainty
05420961
- In this paper it is presented a detailed descr iption of the analog implementation of the control for a DC-AC converter composed by a DC-DC Zeta converter and a low frequency inverter. Using only analog components, it was developed the MPPT t
ga
- 遗传算法是一种借鉴生物界自然选择和自然遗传机制的随机搜索算法。它简单、鲁棒性好，具有自组织 性、自适应性、自学习性，其本质是一种高效、并行、全局搜索的方法，它能在搜索过程中自动获取和积累有 关搜索空间的知识，并自适应地控制搜索过程以求得最优解， -Genetic algorithm is a stochastic search algorithm which is based on natural selection and natural genetic mechanism. It
daolibai-Fozzy-logic
- 倒立摆控制系统是一个复杂的、不稳定的、非线性系统，是进行控制理论教学及开展各种控制实验的理想实验平台。对倒立摆系统的研究能有效的反映控制中的许多典型问题：如非线性问题、鲁棒性问题、镇定问题、随动问题以及跟踪问题等。通过对倒立摆的控制，用来检验新的控制方法是否有较强的处理非线性和不稳定性问题的能力。利用模糊控制对倒立摆进行控制-Inverted pendulum control system is a complex, unstable, nonlinear system, which is an
WCECS2007_pp855-858
- Abstract—The proportional integral derivative (PID) controller is the most widely used control strategy in industry. The popularity of PID controllers can be attributed partly to their robust performance in a wide range of operating conditions
jiangyu_adaptive-dynamic-programming
- 这是一位在自适应鲁棒动态规划控制的牛人的的论文，对于学习自适应控制很有参考价值-This is a self-adaptive robust dynamic programming control of cattle people s papers, for learning adaptive control is very valuable
飞虎EA测试版
- EA优势 1、抓住顺势趋势中所有买入点，使收益最大化。 2、准确判断汇价走势的真是及虚假信号，不放过任何一次买入获利机会。 3、不断开单，小获利出局，使交易记录更加吸引人，最重要的一点是使交易手数最大化！ 4、参数设置好后，全自动智能交易。省力又省心。 5、亏损加仓部分参数多，适合任何货币对使用，同样适合任何客户使用。 6、正确的风险控制方案，让收益更稳健。(EA advantage 1. Seize all the buying points in the trend and m
线性系统理论 程兆林 马树萍
- 第1章 线性定常系统的状态空间描述及运动分析 第2章 线性定常系统的能控性 第3章 状态反馈与闭环极点配置 第4章 线性定常系统的能观性 第5章 能控性，能观性与传递函数 第6章 状态观测器 第7章 线性二次型最优控制与系统输入输出解耦 第8章 不确定线性系统的鲁棒二次镇定(The first chapter is the descr iption of state space and motion analysis of linear stationa
QMPC_LPV_02
- 带有有界干扰的LPV系统鲁棒模型预测控制(20/5000 Robust model predictive control of LPV systems with bounded disturbance)
LMI程序
- 把鲁棒预测控问题转化为线性矩阵不等式来求解(Solving the problem of robust predictive control into a linear matrix inequality)
ACADO
- ACADO工具包是一个软件环境和算法集自动控制和动态优化。它为直接优化控制提供了多种算法，包括模型预测控制、状态参数估计和鲁棒优化。(ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithm
基于SM32的脉冲输出定位控制
- STM32系列基于专为要求高性能、低成本、低功耗的嵌入式应用专门设计的ARM Cortex?-M0，M0+，M3, M4和M7内核（ST's product portfolio contains a comprehensive range of microcontrollers, from robust, low-cost 8-bit MCUs up to 32-bit ARM-based Cortex?-M0 and M0+, Cortex?-M3, Cortex?-M4 Flash micr
频率 脉冲可控，驱动步进电机
- 利用stm32驱动步进电机的开发程序，STM32系列基于专为要求高性能、低成本、低功耗的嵌入式应用专门设计的ARM Cortex?-M0，M0+，M3, M4和M7内核（ST's product portfolio contains a comprehensive range of microcontrollers, from robust, low-cost 8-bit MCUs up to 32-bit ARM-based Cortex?-M0 and M0+, Cortex?-M3, Co
山东大学步进电机研究
- 对于步进电机的相关研究，STM32系列基于专为要求高性能、低成本、低功耗的嵌入式应用专门设计的ARM Cortex?-M0，M0+，M3, M4和M7内核（ST's product portfolio contains a comprehensive range of microcontrollers, from robust, low-cost 8-bit MCUs up to 32-bit ARM-based Cortex?-M0 and M0+, Cortex?-M3, Cortex?-M
基于Kinect的机械臂人机交互控制系统设计
- 基于kinect的人机交互系统设计，使用matlab编程实现六自由度机器人运动(This research is to explore how to combinate Kinect sensor technology and robot arm control technology to create a robot arm control platform with somatosensory control through a fast and robust way. The soma
Huomobian
- 采用非线性动态逆与全程滑模变结构控制相结合的思路，建立了一类具有不确定性和外界干扰的仿射非线性系统的强鲁棒性控制策略。(A robust controller design combining the dynamic inversion method and global sliding-mode variable structure control for a class of uncertain affine nonlinear systems is considered.)
simple 仿真
- A Simple Robust Stabilization Control Law of Underactuated Surface Vessels