Intelligent Integral Backstepping Sliding-mode Control Using Recurrent Neural Network For Piezo-flexural Nanopositioning Stage

DOI10.1002/ASJC.1057zbMath1346.93108OpenAlexW2131573711MaRDI QIDQ2821197

Faa-Jeng Lin, Po-Huan Chou, Shih-Yang Lee

Publication date: 19 September 2016

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

Full work available at URL: https://doi.org/10.1002/asjc.1057

zbMATH Keywords

recurrent neural networkintelligent integral backstepping sliding mode controlpiezo-flexural nanopositioning stage

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95) Variable structure systems (93B12) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (3)

INTELLIGENT ADAPTIVE FRACTIONAL-ORDER BACKSTEPPING CONTROL FOR UNCERTAIN NON-LINEAR QUADROTOR ⋮ Exponential Synchronization of Memristive Chaotic Recurrent Neural Networks Via Alternate Output Feedback Control ⋮ Full‐Order Sliding‐Mode Control of Rigid Robotic Manipulators

Cites Work

• Properties of a combined adaptive/second-order sliding mode control algorithm for some classes of uncertain nonlinear systems
• A new model for control of systems with friction
• Dynamic Surface Control of Constrained Hypersonic Flight Models with Parameter Estimation and Actuator Compensation

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