Application of NL\(_q\) neural control theory to a ball and beam system

DOI10.1016/S0947-3580(98)70109-8zbMath0925.93851OpenAlexW2069150839MaRDI QIDQ1267265

Bart De Moor, B. Motmans, H. Verrelst, Katleen Van Acker, Joos Vandewalle, Johan A. K. Suykens

Publication date: 8 November 1999

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

Full work available at URL: https://doi.org/10.1016/s0947-3580(98)70109-8

Mathematics Subject Classification ID

Application models in control theory (93C95) Input-output approaches in control theory (93D25) Minimal systems representations (93B20)

Related Items

Stable adaptive control with recurrent networks

Uses Software

• QDES

Cites Work

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• Nonlinear control systems: An introduction
• Properties of neural networks with applications to modelling non-linear dynamical systems
• Linear Matrix Inequalities in System and Control Theory
• Nonlinear system identification using neural state space models, applicable to robust control design