Intelligent Control Systems Using Computational Intelligence Techniques

Herausgeber: Ruano, A. E.

• Gebundenes Buch

Produktbeschreibung

Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions.

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Produktdetails

• Control, Robotics and Sensors
• Verlag: Institution of Engineering & Technology
• Seitenzahl: 476
• Erscheinungstermin: Juli 2005
• Englisch
• Abmessung: 236mm x 157mm x 30mm
• Gewicht: 816g
• ISBN-13: 9780863414893
• ISBN-10: 0863414893
• Artikelnr.: 40188631

Inhaltsangabe

* Chapter 1: An overview of nonlinear identification and control with
fuzzy systems
* Chapter 2: An overview of nonlinear identification and control with
neural networks
* Chapter 3: Multi-objective evolutionary computing solutions for
control and system identification
* Chapter 4: Adaptive local linear modelling and control of nonlinear
dynamical systems
* Chapter 5: Nonlinear system identification with local linear
neuro-fuzzy models
* Chapter 6: Gaussian process approaches to nonlinear modelling for
control
* Chapter 7: Neuro-fuzzy model construction, design and estimation
* Chapter 8: A neural network approach for nearly optimal control of
constrained nonlinear systems
* Chapter 9: Reinforcement learning for online control and optimisation
* Chapter 10: Reinforcement learning and multi-agent control within an
internet environment
* Chapter 11: Combined computational intelligence and analytical
methods in fault diagnosis
* Chapter 12: Application of intelligent control to autonomous search
of parking place and parking of vehicles
* Chapter 13: Applications of intelligent control in medicine