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	Nonsingular Terminal Sliding Mode Control With Ultra-Local Model and Single Input Interval Type-2 Fuzzy Logic Control for Pitch Control of Wind Turbines 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 690-700 作者: Saber Abrazeh; Ahmad Parvaresh; Saeid-Reza Mohseni; Meisam Jahanshahi Zeitouni; Meysam Gheisarnejad \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2021/04/09 Interval type-2 (IT2) fuzzy logic control model-independent nonsingular terminal sliding-mode control (MINTSMC) pitch angle control real-time software-in-the-loop (RT-SiL)
	A hybrid system combining intuitionistic fuzzy description logics with intuitionistic fuzzy logic programs (EI CONFERENCE) 会议论文 OAI收割 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11, July 26, 2011 - July 28, 2011, Shanghai, China 作者: Sun T.; Shi L. 收藏 \| 浏览/下载：13/0 \| 提交时间：2013/03/25 In this paper we present a novel combination of intuitionistic fuzzy Description Logics with intuitionistic fuzzy logic programs which yields a more realistic and intelligent hybrid system whitch offers the best of both aspects: the extension of Description Logics with intuitionistic fuzzy sets are suitable for describing vague and imprecise concepts in a given domain on the other hand inuitionistic fuzzy logic programs suffice for rules with vague atoms. We show that the new formalism remains faithful to both individual intuitionistic fuzzy components and we provide the decidability and complexity of the framework under some suitable assumptions. 2011 IEEE.
	The research of nonlinear control based on fuzzy neural network (EI CONFERENCE) 会议论文 OAI收割 International Conference on Electrical and Control Engineering, ICECE 2010, June 26, 2010 - June 28, 2010, Wuhan, China Fan Y.-Y.; Sang Y.-J. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 This paper discussed and researched the structure and algorithm of fuzzy neural network controller based on the character of fuzzy logic and neural network theory. For the nonlinear system characteristics of uncertainty high order and hysteresis this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obviously. Take the single inverted pendulum for example the paper constructed the nonlinear mathematicmodel realized the control with the method of the adaptive fuzzy neural network and compared with control method of liner quadratic regulator the simulation results indicate that the method of adaptive fuzzy neural network can realize the stabilization of control better without the linear model of system and has a higher robustness. 2010 IEEE.
	Direct adaptive fuzzy decentralized control for reconfigurable modular manipulators (EI CONFERENCE) 会议论文 OAI收割 29th Chinese Control Conference, CCC'10, July 29, 2010 - July 31, 2010, Beijing, China 作者: Li Y.; Li Y.; Li Y.; Li Y.; Zhu L. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 A stable direct adaptive fuzzy decentralized control for reconfigurable modular manipulators is proposed to satisfy the concept of modular software. For the development of the decentralized control the dynamics of reconfigurable manipulators is represented as a set of interconnected subsystems. The fuzzy logic systems are introduced to model the unknown dynamics of subsystem and the interconnection term by using adaptive algorithm. Based on Lyapunov stability theorem the stability of the closed-loop systems can be verified. The simulation results are presented to show the effectiveness of the proposed adaptive fuzzy decentralized control schemes.
	A new early stopping algorithm for improving neural network generalization (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, October 10, 2009 - October 11, 2009, Changsha, Hunan, China 作者: Liu J.-G.; Wu X.-X. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 As generalization ability of neural network was restricted by overfitting problem in the network's training. Early stopping algorithm based on fuzzy clustering was put forward to solve this problem in this paper. Subtractive clustering and Fuzzy C-Means clustering (FCM) were combined to realize optimal division of training set validation set and test set. How to realize this algorithm in backpropagation (BP) network by utilizing neural network toolbox and fuzzy logic toolbox in MATLAB was dwelled on. Early stopping algorithm based on fuzzy clustering and other early stopping algorithms were applied in function approximation and pattern recognition problems in validation experiments. Experiments results indicate that early stopping algorithm based on fuzzy clustering has higher precision in comparison to other early stopping algorithms. Outputs of training set validation set and test set are more accordant. 2009 IEEE.
	基于自动指纹识别技术的社会养老保险管理系统的设计与实现学位论文 OAI收割工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2004 张逊收藏 \| 浏览/下载：73/0 \| 提交时间：2015/09/02 养老保险管理系统自动指纹识别技术模糊推理条形码信用度 the social secure system automated fingcrprint-vcrification tcchnology the fuzzy logic barcode credit index