This article addresses the output regulation problem for linear systems whose model is not known a priori but are internally stable or have achieved internal stability through feedback. The article provides a perspective that complements classical internal model-based methodologies. The paradigm we follow emphasizes adaptive feedforward control, signifying all those design methodologies that position a model of the signal to be tracked or rejected by a controlled system outside the primary feedback loop responsible for system stabilization.

Wang, Y., Gong, Y., Ji, C., Pin, G., Serrani, A., Parisini, T. (2025). Adaptive and Switching Internal Model Design: ROBUST ADAPTIVE FEEDFORWARD TECHNIQUES FOR STABLE SYSTEMS. IEEE CONTROL SYSTEMS, 45(6), 52-71 [10.1109/MCS.2025.3609674].

Adaptive and Switching Internal Model Design: ROBUST ADAPTIVE FEEDFORWARD TECHNIQUES FOR STABLE SYSTEMS

Andrea Serrani
Penultimo
Methodology
;
2025

Abstract

This article addresses the output regulation problem for linear systems whose model is not known a priori but are internally stable or have achieved internal stability through feedback. The article provides a perspective that complements classical internal model-based methodologies. The paradigm we follow emphasizes adaptive feedforward control, signifying all those design methodologies that position a model of the signal to be tracked or rejected by a controlled system outside the primary feedback loop responsible for system stabilization.
2025
Wang, Y., Gong, Y., Ji, C., Pin, G., Serrani, A., Parisini, T. (2025). Adaptive and Switching Internal Model Design: ROBUST ADAPTIVE FEEDFORWARD TECHNIQUES FOR STABLE SYSTEMS. IEEE CONTROL SYSTEMS, 45(6), 52-71 [10.1109/MCS.2025.3609674].
Wang, Yang; Gong, Yizhou; Ji, Chenyang; Pin, Gilberto; Serrani, Andrea; Parisini, Thomas
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1031259
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