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基于快速终端滑模的模糊逼近系统及其应用
引用本文:刘云峰,缪栋,刘华峰,梁树晖.基于快速终端滑模的模糊逼近系统及其应用[J].上海航天,2007,24(6):6-9,23.
作者姓名:刘云峰  缪栋  刘华峰  梁树晖
作者单位:1. 第二炮兵工程学院,陕西,西安,710025
2. 太原理工大学,机电所,山西,太原,030024
3. 第二炮兵装备研究院,北京,100085
摘    要:为改善模糊系统逼近的收敛速率,提出了一种基于快速终端滑模的反向传播(BP)学习算法。将快速终端滑模引入模糊逻系统的学习算法,综合终端吸引子有限时间收敛和线性系统指数收敛的性质,提高了对非线性连续函数的逼近能力。仿真结果表明:该算法能以较快速率逼近未知函数,且逼近过程稳定,较普通学习算法更为精确和有效。

关 键 词:模糊逻辑系统  反向传播算法  快速终端滑模  终端吸引子
文章编号:1006-1630(2007)06-0006-04
收稿时间:2006-09-15
修稿时间:2006-10-12

A Fuzzy Approximator Based on Fast Terminal Sliding Mode and Its Application
LIU Yun-feng,MIAO Dong,LIU Hua-feng,LIANG Shu-hui.A Fuzzy Approximator Based on Fast Terminal Sliding Mode and Its Application[J].Aerospace Shanghai,2007,24(6):6-9,23.
Authors:LIU Yun-feng  MIAO Dong  LIU Hua-feng  LIANG Shu-hui
Abstract:A back propagation learning algorithm based on fast terminal sliding mode to approximate was put forward to improve the convergence of fuzzy system in this paper.The fast terminal sliding mode was introduced into the learning algorithm of fuzzy logic system.The approximate system efficiency of unknown nonlinear continuous functions was improved with convergent property of terminal attractor in finite time and exponential convergent property of linear system.The simulation results showed that this algorithm could approximate unknown functions with rapid velocity and tranquilization process,which was better than conventional method in exactitude and availability.
Keywords:Fuzzy logic system  Back propagation algorithm  Fast terminal sliding mode  Terminal attractor
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