System identification and control using genetic algorithms
- 1 January 1992
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. 22 (5) , 1033-1046
- https://doi.org/10.1109/21.179842
Abstract
It is shown how genetic algorithms can be applied for system identification of both continuous and discrete tim systems. It is shown that they are effective in both domain and are able to directly identify physical parameters or pole and zeros. This can be useful because changing one physic parameter might effect every parameter of a system transfer function. The poles and zeros estimates are then used to design a discrete time pole placement adaptive controller. Simulation for minimum and nonminimum phase systems and a system wit unmodeled dynamics are presented.This publication has 8 references indexed in Scilit:
- Proceedings of the First International Conference on Genetic Algorithms and their ApplicationsPublished by Taylor & Francis ,2014
- Recursive adaptive filter design using an adaptive genetic algorithmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Genetic algorithms in system identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- A genetic algorithmic framework for process design and optimizationComputers & Chemical Engineering, 1991
- Identification of continuous-time dynamic systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Adaptive forgetting in recursive identification through multiple models†International Journal of Control, 1985
- Self-tuning control of nonminimum-phase systemsAutomatica, 1984
- Outline for a Logical Theory of Adaptive SystemsJournal of the ACM, 1962