Dynamic neural networks for output feedback control

DOI<link itemprop=identifier href="https://doi.org/10.1002/1099-1239(200101)11:1<23::AID-RNC545>3.0.CO;2-N" /><23::AID-RNC545>3.0.CO;2-N 10.1002/1099-1239(200101)11:1<23::AID-RNC545>3.0.CO;2-NzbMath0969.93014OpenAlexW2180978549MaRDI QIDQ2710019

Anthony J. Calise, Rolf Rysdyk, Naira Hovakimyan

Publication date: 18 September 2001

Full work available at URL: https://doi.org/10.1002/1099-1239(200101)11:1<23::aid-rnc545>3.0.co;2-n

zbMATH Keywords

adaptive controlneural networksnonlinear observer

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Observability (93B07)

Related Items (8)

Prescribed time tracking control of constrained Euler–Lagrange systems: An adaptive proportional–integral solution ⋮ Model reference control of hyperchaotic systems ⋮ Actuator failure‐tolerant control of an all‐thruster satellite in coupled translational and rotational motion using neural networks ⋮ Indirect neuroadaptive control of unknown MIMO systems tracking uncertain target under sensor failures ⋮ Adaptive output feedback control of a class of multi-input multi-output systems using neural networks ⋮ Adaptive output feedback control of a class of multi-input multi-output systems using neural networks ⋮ Model reference control for an economic growth cycle model ⋮ A state observer for the computational network model of neural populations

Cites Work

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• Adaptive non‐linear control with incomplete state information
• Adaptive output feedback control of nonlinear systems represented by input-output models
• Adaptive nonlinear output-feedback schemes with Marino-Tomei controller
• Stable adaptive neural control scheme for nonlinear systems
• Robot control by using only joint position measurements

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