Command filtered adaptive neural network synchronization control of fractional-order chaotic systems subject to unknown dead zones

• Published in: Journal of the Franklin Institute Vol. 358; no. 7; pp. 3376 - 3402
• Main Authors: Ha, Shumin, Chen, Liangyun, Liu, Heng
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.05.2021; Elsevier Science Ltd
• Subjects: Adaptive control; Chaos theory; Control methods; Error compensation; Fractions; Liapunov functions; Mathematical functions; Neural networks; Nonlinear equations; Radial basis function; Stability; Subsystems; Synchronism; Systems stability

Command filters are essential for alleviating the inherent computational complexity (ICC) of the standard backstepping control method. This paper addresses the synchronization control scheme for an uncertain fractional-order chaotic system (FOCS) subject to unknown dead zone input (DZI) based on a f...