The objective of this paper is to propose a dynamic control allocation architecture for nonlinear systems that allows for the presence of periodic exogenous signals. The design is achieved by combining a gradient-based optimization strategy with the use of sensitivity dynamics for nonlinear systems that depend on parameters. The resulting strategy permits extending control optimization beyond the more standard point-wise (instantaneous) allocation schemes, as illustrated also by means of an academic example, while preserving the appealing output invisibility feature typical of the linear context.

Akbari, S., Galeani, S., Manca, G., Sassano, M. (2025). A sensitivity approach to periodic control allocation in nonlinear systems. In 2025 IEEE 64th Conference on Decision and Control (CDC) (pp.5080-5085). New York : IEEE [10.1109/cdc57313.2025.11312228].

A sensitivity approach to periodic control allocation in nonlinear systems

Galeani, S;Manca, G;Sassano, M
2025-01-01

Abstract

The objective of this paper is to propose a dynamic control allocation architecture for nonlinear systems that allows for the presence of periodic exogenous signals. The design is achieved by combining a gradient-based optimization strategy with the use of sensitivity dynamics for nonlinear systems that depend on parameters. The resulting strategy permits extending control optimization beyond the more standard point-wise (instantaneous) allocation schemes, as illustrated also by means of an academic example, while preserving the appealing output invisibility feature typical of the linear context.
Conference on Decision and Control (CDC)
Rio de Janeiro (Brazil)
2025
64
Rilevanza internazionale
2025
Settore IINF-04/A - Automatica
English
Intervento a convegno
Akbari, S., Galeani, S., Manca, G., Sassano, M. (2025). A sensitivity approach to periodic control allocation in nonlinear systems. In 2025 IEEE 64th Conference on Decision and Control (CDC) (pp.5080-5085). New York : IEEE [10.1109/cdc57313.2025.11312228].
Akbari, S; Galeani, S; Manca, G; Sassano, M
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/453935
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact