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Adaptive Robust Control: Adaptive Fuzzy Sliding Mode Control Technique

Authors :
Douglas Wildgrube Bertol
NardĂȘnio Almeida Martins
Source :
Wheeled Mobile Robot Control ISBN: 9783030779115
Publication Year :
2021
Publisher :
Springer International Publishing, 2021.

Abstract

In this chapter, to attenuate the chattering phenomenon, the discontinuous term of the controllers in Chap. 5 is replaced by single-input single-output (SISO) radial basis function neural networks (RBFNNs), which are non-linear and continuous functions, thus resulting in adaptive neural sliding mode control (ANSMC). And, to relax the demands of knowing the bounds of the uncertainties and disturbances suffered by the system, the output layer weights of the RBFNNs are updated online to compensate for these uncertainties and disturbances as well as to guarantee the stability of the system without any prior knowledge of them and its bounds.

Details

ISBN :
978-3-030-77911-5
ISBNs :
9783030779115
Database :
OpenAIRE
Journal :
Wheeled Mobile Robot Control ISBN: 9783030779115
Accession number :
edsair.doi...........f87bd26f324fa55a502d0157d88d1d94