Flatness-based adaptive fuzzy control of electrostatically actuated MEMS using output feedback

DOI10.1016/j.fss.2015.08.027zbMath1374.93221OpenAlexW1204891141MaRDI QIDQ1677870

Peng Zhang

Publication date: 13 November 2017

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2015.08.027

zbMATH Keywords

Lyapunov stabilityRiccati equationsstate observersadaptive fuzzy control\(H_\infty\) tracking performanceelectrostatically actuated MEMSneurofuzzy approximation

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Adaptive control/observation systems (93C40) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control of mechanical systems (70Q05)

Related Items (2)

Fuzzy wavelet neural control with improved prescribed performance for MEMS gyroscope subject to input quantization ⋮ Intelligent fractional-order control-based projective synchronization for chaotic optical systems

Cites Work

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• Advanced Models of Neural Networks
• State-space solutions to standard H/sub 2/ and H/sub infinity / control problems

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