Adaptive Intermittent Stabilization of Memristive Chaotic System via T-S Fuzzy Model
Leimin Wang, Qiming Wang, Guodong Zhang
Abstract
This brief focuses on exponential stabilization of a fifth-order memristive chaotic circuit via adaptive intermittent control. The circuit is designed by basic electronic elements and can exhibit chaos due to the nonlinear terms caused by memristors. Because of the superiority of T-S fuzzy model in dealing with nonlinearity, a T-S fuzzy model is adopted to describe the circuit. Then, an adaptive intermittent scheme is propound to achieve the exponential stabilization of the system. In the end, the effectiveness of theoretical results and controller is verified by means of numerical simulations.
Topics & Concepts
MemristorControl theory (sociology)Nonlinear systemChaoticController (irrigation)Fuzzy logicComputer scienceCHAOS (operating system)Adaptive controlExponential functionScheme (mathematics)Control engineeringMathematicsControl (management)EngineeringElectronic engineeringPhysicsArtificial intelligenceComputer securityBiologyMathematical analysisQuantum mechanicsAgronomyAdvanced Memory and Neural ComputingNeural Networks Stability and SynchronizationChaos control and synchronization