Neural‐Adaptive Control and Nonlinear Observer for Waste‐To‐Energy Boilers

DOI10.1002/ASJC.896zbMath1305.93101OpenAlexW2155622199MaRDI QIDQ5172914

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Publication date: 6 February 2015

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

Full work available at URL: https://doi.org/10.1002/asjc.896

zbMATH Keywords

adaptive controlneural networksnonlinear observerutility boilercerebellar model articulation controllerwaste-to-energy generation

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Adaptive control/observation systems (93C40) Observability (93B07) Ecology (92D40)

Related Items (2)

Super-twisting-based sliding mode control of drum boiler energy conversion systems ⋮ Neural‐Adaptive Control and Nonlinear Observer for Waste‐To‐Energy Boilers

Cites Work

• The extended Luenberger observer for nonlinear systems
• Nonlinear observer design for state and disturbance estimation
• Nonlinear observer design in the presence of delayed output measurements
• A new adaptive law for robust adaptation without persistent excitation
• H_∞ controller design for boilers
• Neural‐Adaptive Control and Nonlinear Observer for Waste‐To‐Energy Boilers
• Frequency Domain Input–Output Analysis of Sliding-Mode Observers
• Robust nonlinear control design. State-space and Lyapunov techniques

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