Predictive control based on neural network models with I/O feedback linearization

DOI10.1080/002071799220038zbMath0941.93518OpenAlexW2156638194MaRDI QIDQ4485330

Ardjan Krijgsman, Miguel Ayala Botto, J. M. G. Sá da Costa, Ton J. J. van den Boom

Publication date: 12 June 2000

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

Full work available at URL: https://doi.org/10.1080/002071799220038

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Design techniques (robust design, computer-aided design, etc.) (93B51)

Related Items (5)

On realizability of neural networks-based input--output models in the classical state-space form ⋮ Convergence guaranteed nonlinear constraint model predictive control via I/O linearization ⋮ Robust control of dynamical systems using neural networks with input–output feedback linearization ⋮ Input Constraints Handling in an MPC/Feedback Linearization Scheme ⋮ On reduction of control effort in feedback linearization GPC strategy applied to a solar furnace

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