Repetitive learning position control for full order model permanent magnet step motors
DOI10.1016/J.AUTOMATICA.2015.10.038zbMath1329.93106OpenAlexW2193288986MaRDI QIDQ901211
Valerio Salis, Stefano Bifaretti, Cristiano Maria Verrelli, Patrizio Tomei
Publication date: 23 December 2015
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2015.10.038
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Discrete-time control/observation systems (93C55) Technical applications of optics and electromagnetic theory (78A55) Control/observation systems governed by ordinary differential equations (93C15)
Related Items (1)
Cites Work
- A global robust iterative learning position control for current-fed permanent magnet step motors
- Learning control for nonlinear systems in output feedback form
- Iterative learning control for output-constrained systems with both parametric and nonparametric uncertainties
- Robust adaptive learning control for nonlinear systems with extended matching unstructured uncertainties
- Adaptive linearization of hybrid step motors: stability analysis
- Comments on "A composite energy function-based learning control approach for nonlinear systems with time-varying parametric uncertainties"
- A New Periodic Adaptive Control Approach for Time-Varying Parameters With Known Periodicity
- Linear repetitive learning controls for nonlinear systems by Padé approximants
This page was built for publication: Repetitive learning position control for full order model permanent magnet step motors
