Further result on a dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems

DOI10.1016/J.AUTOMATICA.2005.07.003zbMath1100.93501OpenAlexW2023780837MaRDI QIDQ2576168

Tong-Heng Lee, Kok Kiong Tan, Su-Nan Huang

Publication date: 8 December 2005

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2005.07.003

zbMATH Keywords

Neural networksAdaptive controlNonlinear systemsObserver

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Observability (93B07)

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Robust stability of MIMO nonlinear uncertain systems using operator-based right coprime factorisation ⋮ Minimum error entropy filter for fault detection of networked control systems ⋮ Learning-based non-fragile state estimation for switching complex dynamical networks ⋮ A dual-observer design for nonlinear suspension system based on feedback linearization ⋮ Observer-based adaptive fuzzy tracking control for a class of uncertain nonlinear MIMO systems ⋮ Output Feedback Adaptive Neural Control Without Seeking SPR Condition ⋮ Modeling and extended state observer based dynamic surface control for cold rolling mill system ⋮ Adaptive discrete neural observer design for nonlinear systems with unknown time-delay ⋮ Adaptive fuzzy output tracking control for a class of uncertain nonlinear systems ⋮ Operator-based robust stability for nonlinear systems with multiple uncertainties using coprime factorisation method

Cites Work

• A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems
• Stability of linear systems with delayed perturbations: an LMI approach

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