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Introduction to Mobile Robot Control
book

Introduction to Mobile Robot Control

by Spyros G Tzafestas
October 2013
Intermediate to advanced content levelIntermediate to advanced
750 pages
16h 52m
English
Elsevier
Content preview from Introduction to Mobile Robot Control
8

Mobile Robot Control IV

Fuzzy and Neural Methods

Fuzzy logic systems (or, simply, fuzzy systems, FSs) and neural networks are universal approximators, that is, they can approximate any nonlinear function (mapping) with any desired accuracy, and have found wide application in the identification, planning, and model-free control of complex nonlinear systems, such as robotic systems and industrial processes. Fuzzy logic offers a linguistic (approximate) way of drawing conclusions from uncertain data, and neural networks offer the capability of learning and training with or without a teacher (supervisor).

The objectives of this chapter are the following: (i) to provide a brief introduction to neural networks and fuzzy systems, (ii) to derive and ...

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Publisher Resources

ISBN: 9780124170490