Flatness-based adaptive fuzzy output tracking excitation control for power system generators

DOI10.1016/J.JFRANKLIN.2013.06.001zbMath1293.93491OpenAlexW1989899590MaRDI QIDQ396586

Hassan A. Yousef, Muhammad Shafiq, Mohamed Hamdy

Publication date: 13 August 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.06.001

zbMATH Keywords

adaptive fuzzy output tracking excitation controlpower system generators

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Adaptive control/observation systems (93C40) Canonical structure (93B10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (6)

Nonlinear dynamic analysis for a Francis hydro-turbine governing system and its control ⋮ Hybrid feedback feedforward: an efficient design of adaptive neural network control ⋮ Robust flatness-based tracking control for brushless direct current motor drives ⋮ Adaptive dynamic surface control for generator excitation control system ⋮ A differential flatness theory approach to observer-based adaptive fuzzy control of MIMO nonlinear dynamical systems ⋮ Event-based reference tracking control of discrete-time nonlinear systems via delta operator method

Cites Work

• Unnamed Item
• On necessary and sufficient conditions for differential flatness
• Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems
• Analysis and control of nonlinear systems. A flatness-based approach
• Adaptive fuzzy logic control of discrete-time dynamical systems
• Robust adaptive fuzzy semi-decentralized control for a class of large-scale nonlinear systems using input-output linearization concept
• A fuzzy controller for generator excitation control
• Nonlinear decentralized control of large-scale power systems

This page was built for publication: Flatness-based adaptive fuzzy output tracking excitation control for power system generators