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非线性辅助内模控制(NAIMC)系统研究 被引量:2

AUXLIARY INTERNAL INTERNAL MODEL CONTROL STRATEGY FOR NONLINEAR SYSTEMS
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摘要 本文提出了一种新的非线性内模控制结构,它能适应当非线性过程包含非最小相位和/或纯滞后特性时的控制器设计,这种新方法被用于化学反应器的控制,并通过数值仿真说明了其在伺服性、抗干扰能力和鲁棒性等方面的特点。 An internal model control strategy for nonlinear systems with deadtime and/or nonminimum-phase is developed. The proposed control methodology is applied to two chemical engineering examples andits performance is evaluated by computer simulations.
出处 《信息与控制》 CSCD 北大核心 1995年第4期230-236,共7页 Information and Control
关键词 非线性系统 控制系统 NAIMC系统 nonlinear system,nonminimum-phase, deadtime compensation, internal model control
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  • 1AOYAMA A,DOYLE Ⅲ F J.A fuzzy neural-network approach for nonlinear process control [J].Engineering Applications of Artificial Intelligence,1995,8(5):483-498.
  • 2POTTMANN M,JORGL H P.Radial basis function networks for intemal model control [J].Applied Mathematics and Computation,1995,70(2/3):283-298.
  • 3KAMBHAMPATI C,CRADDOCK R J,THAM M,et al.Inverse model control using recurrent networks [J].Mathematics and Computers in Simulation,2000,51(3/4):181-199.
  • 4RIVALS I,PERSONNAZ L.Nonlinear internal model control using neural networks:application to processes with delay and design issues[J].IEEE Trans on Neural Networks,2000,11 ( 1 ):80-90.
  • 5MENKEN G J.Modularly structured B-spline networks for internal model control [C]//Proc of American Control Conference.Albuquerque:ACCC,1997:2001-2005.
  • 6FACHE A,DUBOIS O,BILLAT A.On the invertibility of the RBF model in a predictive control stategy [C]//European Symposium on Artificial Neural Networks.Bruges:IEEE Press,1999:381-386.
  • 7NEYER M D,GOREZ R.Fuzzy and quantitative model-based control systems for robotics manipulators [J].Int J of Systems Science,1993,24(10):1863-1883.
  • 8BAVELAAR I M,BARANYI P,BABUSKA R.A method to invert a linguistic fuzzy model [J].Int J of Systems Science,1998,29(7):829-839.
  • 9ABONYI J,BABUSKA R,SZEIFERT F.Fuzzy modeling with multivariate membership functions:gray-box identification and control design [J].IEEE Trans on Systems,Man,and Cybemetics,Part B,2001,31(5):755-766.
  • 10EDGAR C R,POSTLETHWAITE B E.MIMO fuzzy internal model control [J].Automatica,2000,36 ( 6 ):867-877

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