Decentralized adaptive fuzzy neural iterative learning control for nonaffine nonlinear interconnected systems

DOI10.1002/asjc.299zbMath1248.93104OpenAlexW2075207556MaRDI QIDQ2895264

Ying-Chung Wang, Chiang-Ju Chien

Publication date: 2 July 2012

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.299

zbMATH Keywords

adaptive controldecentralized controliterative learning controlinterconnected systemoutput recurrent fuzzy neural network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) Design techniques (robust design, computer-aided design, etc.) (93B51) Adaptive control/observation systems (93C40) Decentralized systems (93A14)

Related Items (9)

Adaptive Control Scheme for Large‐Scale Interconnected Systems Described by Hammerstein Models ⋮ The effect of initial state error for nonlinear systems with delay via iterative learning control ⋮ Design of self-tuning regulator for large-scale interconnected Hammerstein systems ⋮ Observer-based adaptive iterative learning control for a class of nonlinear time delay systems with input saturation ⋮ Adaptation of simple molecular networks to time-dependent stimulus ⋮ Robust adaptive tracking control of distributed delay systems with actuator and communication failures ⋮ Dynamic inversion control for a class of pure‐feedback systems ⋮ Multiple Fuzzy Relation and Its Application to Coupled Fuzzy Control ⋮ A new AILC for a class of nonlinearly parameterized systems with unknown delays and input dead-zone

Cites Work

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