基于生态系统冗余结构的Type-2模糊控制器设计Design of Type-2 Fuzzy Controller Based on the Redundant Construct of Ecosystem
欧阳仁蓉
摘要(Abstract)：
本文提出了一类新的基于生态位模型的Type-2模糊控制系统,将含参数的生态位贴近度函数作为模糊规则的后件,从而构成了Type-2 Takagi-Sugeno(T-S)模糊控制模型。主要采用Lyapunov方法设计控制器,利用梯度下降法优化参数,得到参数的自适应律。建立的模糊T-S模型具有生物个体的自适应性,可以确保整个系统的稳定性,通过prey-predator生态模型验证了该类控制器的有效性。
关键词(KeyWords)： Type-2模糊系统;生态位;自适应模糊控制
基金项目(Foundation): 江苏联合职业技术学院2016年度课题立项(B/2016/131045)
作者(Author): 欧阳仁蓉
DOI: 10.13757/j.cnki.cn34-1150/n.2016.04.016
参考文献(References)：
- [1]TAKAGI T,SUGENO M.Fuzzy identification of systems and its application to modeling and control[J].IEEE Trans on Systems Man and Cybernetics,1985,15(1):116-132.
- [2]TANAKA K,HORI T,WANG H O.A multiple lyapunov function approach to stabilization of fuzzy control system[J].IEEE Trans,Fuzzy Syst,2003,11(4):582-588.
- [3]NGUANG S K,SHI P.H∞fuzzy output feedback control design for nonlinear systems:an LMI approach[J].IEEE Conference on Decision&Control,2001,11(3):331-340
- [4]LIU X D,ZHANG Q L.New approach to H∞controller desigen based on fuzzy observers for T-S fuzzy system via LMI[J].Automatica,2003,39(5):1571-1582.
- [5]CHEN B S,TSEING C S,UANG H J.Robustness design of nonlinear dynamic systems via fuzzy linear control[J].IEEETransactions on Fuzzy Systems,1999,7(5):571-585.
- [6]LEE H J,KIM D W.Robust stabilization of T-S fuzzy systems:Fuzzy static output feedback under parametric uncertainty[J].International Journal of Control Automation and Systems,2009,7(5):731-736.
- [7]KEN Y,CHEN Y C,CHEN C W.Robustness design of timedelay fuzzy system using fuzzy lyapunov method[J].Applied Mathematics and Computation,2008,205(2):568-577.
- [8]朱春全.生态位态势理论与扩充假说[J].生态学报,1997(3):324-332.
- [9]WANG W,LI Y M,LI Z Z.A fuzzy description on some ecological concept[J].Ecological Modeling,2003,169:361-366.
- [10]李医民,胡寿松,李莉.基于生态位技术的Fuzzy控制方法[J].系统工程理论与实践,2004(3):63-68.
- [11]KARNIK N N,MENDEL J M.Applications of type-2 Fuzzy logic systems to forecasting of time-series[J].Information Sciences,1999(120):89-111.
- [12]WANG G J.Fuzzy input-output controller are universal approximators[J].Fuzzy Sets and Systems,1998,97(1):95-99.