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Robust adaptive finite‐time and fixed‐time synchronization of chaotic systems with smooth control

Jie Wu, Ru‐Ru Ma

2021International Journal of Robust and Nonlinear Control29 citationsDOI

Abstract

Abstract By taking the noise into consideration, this article addresses the robust stochastic adaptive finite‐time and fixed‐time synchronization of two chaotic systems. The novel adaptive and smooth control protocols are proposed to (i) adjust all the control gains automatically without selecting them in advance; (ii) overcome the chattering problem caused by the signum function contained in the conventional finite/fixed‐time controllers, which effectively improves the synchronized performance of chaotic systems. Based on the (stochastic) stability theory, the sufficient conditions are derived for achieving (stochastic) finite‐time and fixed‐time synchronization, respectively, in which the upper bound of synchronization time can be estimated in advance regardless of initial states of chaotic systems. Finally, two representative applications concerning the memristor chaotic circuit and the permanent magnet synchronous motors validate the effectiveness and feasibility of proposed theoretical results.

Topics & Concepts

Synchronization (alternating current)Control theory (sociology)Computer scienceSynchronization of chaosChaoticAdaptive controlStability (learning theory)Noise (video)Chaotic systemsUpper and lower boundsControl (management)MathematicsChannel (broadcasting)Image (mathematics)Artificial intelligenceMachine learningMathematical analysisComputer networkNeural Networks Stability and SynchronizationChaos control and synchronizationNonlinear Dynamics and Pattern Formation