A neural network enhanced generalised minimum variance self tuning PID control algorithm for complex dynamic systems

Zhu, Q. and Warwick, K. (2002) A neural network enhanced generalised minimum variance self tuning PID control algorithm for complex dynamic systems. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 216 (3). pp. 265-273. ISSN 0959-6518

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Publisher's URL: http://pii.sagepub.com/content/216/3/265.abstract


Item Type:Article
Additional Information:This work represents a fundamental concept development in neural network enhanced control system design. Particularly the significant step of simplification of design of PID controllers for nonlinear dynamic plants.
Uncontrolled Keywords:neuro PID controller, complex dynamic plants, self-tuning control
Faculty/Department:Faculty of Environment and Technology
ID Code:5909
Deposited By: R. Upload account
Deposited On:22 Jan 2010 15:10
Last Modified:12 Aug 2013 07:58

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