Fuzzy control of dithered chaotic systems via neural-network-based approach
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Publication:609774
DOI10.1016/j.jfranklin.2010.04.001zbMath1202.93076OpenAlexW2055385415MaRDI QIDQ609774
Publication date: 1 December 2010
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2010.04.001
Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (10)
Adaptive iterative learning control for nonlinear pure-feedback systems with initial state error based on fuzzy approximation ⋮ T-S fuzzy control for dithered nonlinear singularly perturbed systems with multiple time delays ⋮ Identification of cement rotary kiln using hierarchical wavelet fuzzy inference system ⋮ Torus \(T^{2}\) and its locking, doubling, chaos of a vibro-impact system ⋮ Adaptive variable structure fuzzy neural identification and control for a class of MIMO nonlinear system ⋮ Stabilization via extended nonquadratic boundedness for constrained nonlinear systems in Takagi-Sugeno's form ⋮ Adaptive Synchronization of Fractional Order Complex-Variable Dynamical Networks via Pinning Control ⋮ Master-slave chaos synchronization using adaptive TSK-type CMAC neural control ⋮ Optimal \(H^\infty\) fuzzy control for nonlinear multiple time-delay interconnected systems: using dithers as auxiliaries ⋮ Robust stabilization for a class of nonlinear systems via a single input control applicable to chaotic systems and its circuit implementation
Uses Software
Cites Work
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