• DocumentCode
    2220461
  • Title

    Neural network control for nonlinear industrial processes and discrete systems

  • Author

    Chawla, M.P.S. ; Pauddar, C.M. ; Somani, N.D. ; Sarkar, B.

  • Author_Institution
    Dept. of Electr. Eng., S.G.S. Inst. of Technol. & Sci., Indore, India
  • fYear
    1993
  • fDate
    15-19 Nov 1993
  • Firstpage
    327
  • Abstract
    This paper presents a neural network controller For controlling nonlinear industrial processes and nonlinear discrete time varying delay systems. The paper considers the control of a 3×3 nonlinear dynamical system which exhibits different but constant delays in inputs. Another feature of this paper is that it is intended to provide control for a very general class of unknown discrete nonlinear processes. Extensive analysis is used in development of various parts of the control scheme, that is also verified by the simulation result of a nominal nonlinear process. The different nonlinearities are considered along with their modelling in this paper
  • Keywords
    delays; discrete systems; neural nets; nonlinear control systems; nonlinear dynamical systems; process computer control; process control; time-varying systems; 3×3 nonlinear dynamical system; discrete systems; neural network control; nonlinear industrial processes; time varying delay systems; unknown discrete nonlinear processes; Analytical models; Control systems; Delay systems; Electrical equipment industry; Industrial control; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Process control; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
  • Conference_Location
    Maui, HI
  • Print_ISBN
    0-7803-0891-3
  • Type

    conf

  • DOI
    10.1109/IECON.1993.339058
  • Filename
    339058