Neural network algorithm for parameter identification of dynamical systems involving time delays

  • Authors:
  • N. Yadaiah;B. L. Deekshatulu;L. Sivakumar;V. Sree Hari Rao

  • Affiliations:
  • Department of Electrical & Electronics Engineering, College of Engineering, Jawaharlal Nehru Technological University, Hyderabad 500 072, AP, India;Computer & Information Sciences Department, University of Hyderabad, Gachibowli, Hyderabad 500 046, AP, India;Power Plant Dynamics & Simulator Lab, BHEL (R&D), Vikas Nagar, Hyderabad 500 093, AP, India;Department of Mathematics, College of Engineering, Jawaharlal Nehru Technological University, Hyderabad 500 072, AP, India

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2007

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Abstract

This paper deals with the problem of identification of unknown parameters and time-delay of dynamical systems. A polynomial function is employed to modify the structure of the system and subsequently suitable algorithms for identifying the parameters of time-lag systems are developed using neural networks. Illustrative examples for identification of time-lag systems and quasi-linear systems with lag have been presented.