Adaptive fuzzy system-based variable-structure controller for multivariable nonaffine nonlinear uncertain systems subject to actuator nonlinearities

• Published in: Neural computing & applications Vol. 28; no. 11; pp. 3371 - 3384
• Main Authors: Boulkroune, A., M’saad, M., Farza, M.
• Format: Journal Article
• Language: English
• Published: London Springer London 01.11.2017; Springer Nature B.V; Springer Verlag
• Subjects: Adaptive control; Artificial Intelligence; Automatic; Computational Biology/Bioinformatics; Computational Science and Engineering; Computer Science; Computer simulation; Control stability; Control systems; Controllers; Data Mining and Knowledge Discovery; Engineering Sciences; Equivalence; Fuzzy control; Fuzzy systems; Image Processing and Computer Vision; Multivariable control; Nonlinear systems; Original Article; Probability and Statistics in Computer Science; Series expansion; Stability analysis; Taylor series; Adaptive fuzzy control; Dead zone; Sector nonlinearities; Multivariable nonaffine systems; Variable-structure control; Adaptative fuzzy control

In this paper, a novel adaptive fuzzy variable-structure control approach is proposed for a class of multivariable nonaffine uncertain systems subject to dynamic nonlinear disturbances and actuator nonlinearities (dead zone and sector nonlinearities). By using the Taylor series expansion, an equival...