Self-tuning proportional, integral and derivative controller based on genetic algorithm least squaresWarwick, K. and Kang, Y.-H. (1998) Self-tuning proportional, integral and derivative controller based on genetic algorithm least squares. Proceedings of the Institution of Mechanical Engineers- Part I: Journal of Systems and Control Engineering, 212 (6). pp. 437-448. ISSN 0959-6518 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1243/0959651981539596 Abstract/SummaryA self-tuning proportional, integral and derivative control scheme based on genetic algorithms (GAs) is proposed and applied to the control of a real industrial plant. This paper explores the improvement in the parameter estimator, which is an essential part of an adaptive controller, through the hybridization of recursive least-squares algorithms by making use of GAs and the possibility of the application of GAs to the control of industrial processes. Both the simulation results and the experiments on a real plant show that the proposed scheme can be applied effectively.
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