Title :
An adaptive filter using Darwinian algorithm for system identification and control
Author :
Patiakin, O.V. ; Zhang, B.S. ; Cain, G.D. ; Leigh, J.R.
Author_Institution :
Centre for Microelectron. Syst. Applications, Westminster Univ., London, UK
Abstract :
In recent years a class of natural algorithms for search and optimisation has been studied and is of great interest. Examples of these algorithms include genetic algorithms, simulated annealing and Darwinian adaptation. In this paper we focus on an initial study of a Darwinian adaptation method compared with the well-known least squares method for system identification and control
Keywords :
adaptive filters; filtering theory; identification; optimisation; search problems; Darwinian algorithm; adaptive filter; optimisation; parameter estimation; parameter space; system identification; Adaptive filters; Control systems; Least squares approximation; Least squares methods; Mathematical model; Parameter estimation; Resonance light scattering; Signal processing algorithms; System identification; Vectors;
Conference_Titel :
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location :
Le Touquet
Print_ISBN :
0-7803-0911-1
DOI :
10.1109/ICSMC.1993.390785
