Read e-book online Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, PDF

By Nazmul Siddique

Intelligent Control considers non-traditional modelling and regulate methods to nonlinear structures. Fuzzy good judgment, neural networks and evolutionary computing options are the most instruments used. The e-book provides a modular switching fuzzy good judgment controller the place a PD-type fuzzy controller is achieved first by way of a PI-type fuzzy controller therefore bettering the functionality of the controller in comparison with a PID-type fuzzy controller. The good thing about the switching-type fuzzy controller is that it makes use of one rule-base hence minimises the rule-base in the course of execution. A unmarried rule-base is constructed by means of merging the club services for switch of blunders of the PD-type controller and sum of mistakes of the PI-type controller. club features are then optimized utilizing evolutionary algorithms. because the fuzzy controllers have been performed in sequence, useful extra tuning of the differential and imperative scaling components of the controller is then played. Neural-network-based tuning for the scaling parameters of the bushy controller is then defined and eventually an evolutionary set of rules is utilized to the neurally-tuned-fuzzy controller during which the sigmoidal functionality form of the neural community is determined.

The very important factor of balance is addressed and the textual content demonstrates empirically that the built controller used to be solid in the working diversity. The textual content concludes with rules for destiny study to teach the reader the potential of additional research during this area.

Intelligent keep an eye on will be of curiosity to researchers from engineering and machine technology backgrounds operating within the clever and adaptive control.

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Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms (Studies in Computational Intelligence) by Nazmul Siddique

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