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	Adaptive Inverse Control of Cable-Driven Parallel System Based on Type-2 Fuzzy Logic Systems 期刊论文 OAI收割 IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2015, 卷号: 23, 期号: 5, 页码: 1803-1816 作者: Wang, Tiechao; Tong, Shaocheng; Yi, Jianqiang; Li, Hongyi 收藏 \| 浏览/下载：22/0 \| 提交时间：2015/11/12 Adaptive inverse control cable-driven parallel system fuzzy nonlinear autoregressive exogenous (NARX) model type-2 fuzzy logic systems
	基于多源知识的二型模糊系统设计及其控制方法研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2011 作者: 王铁超收藏 \| 浏览/下载：78/0 \| 提交时间：2015/09/02 二型模糊逻辑系统多源知识最小二乘法积极集法遗传算法 NARX模型逆控制 type-2 fuzzy logic system multi-source knowledge least squares algorithm active-set algorithm genetic algorithm NARX model inverse control
	Inverse control of cable-driven parallel system based on type-2 fuzzy logic and multi-source knowledge (EI CONFERENCE) 会议论文 OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者: Li C.; Li C.; Li C. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In this paper we realize the control of cable-driven parallel system via a type-2 fuzzy inverse control method based on its multi-source knowledge which includes heuristics prior knowledge and data information. A fuzzy inverse controller is interval type-2 fuzzy NARX model which is identified via the multi-source knowledge. Experiment results show the control method is practical and excellent.
	基于人工神经元网络的非线性模型预测控制方法研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2008 作者: 李会军收藏 \| 浏览/下载：104/0 \| 提交时间：2015/09/02 模型预测控制 NARMAX模型 BP神经网络 NARX神经网络二次规划算法序列二次规划算法遗传算法 Model Predictive Control NARMAX Model BP Neural Network NARX Neural Network Quadratic Programming Algorithm Sequential Quadratic Programming Algorithm Genetic Algorithm
	Study of adaptive inverse control to stale platform (EI CONFERENCE) 会议论文 OAI收割 International Conference on Computer Science and Software Engineering, CSSE 2008, December 12, 2008 - December 14, 2008, Wuhan, Hubei, China 作者: Li Y.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 Stable platform is a complicated nonlinear system. The common PID control can not meet the requirement of high precision and fast response. The adaptive inverse control was introduced in the system of stable platform. Based on it the system utilize its character of open circle to improve system capability. In the model building to object model and object inverse model the NARX network is used. The algorithm uses the least square method instead of least square(LMS) to identify the parameters and design the control. The simulation results show several advantages of this control strategy such as sensitive response non-overshoot good anti-disturbance and minimal stable error and showed dynamic/static performance was superior to those of conventional PID method. 2008 IEEE.