In this paper, we present a distributed Proportional-Integral (PI) strategy with self-tuning adaptive gains for reaching asymptotic consensus in networks of non-identical linear agents under constant disturbances. Alternative adaptive strategies are presented, based on global or local measures of the agents' disagreement. The proposed approaches are validated on a representative numerical example. Preliminary analytical results further confirm the viability of the self-tuning strategies.
Self-tuning proportional integral control for consensus in heterogeneous multi-agent systems / BURBANO L., Daniel Alberto; DE LELLIS, Pietro; DI BERNARDO, Mario. - In: EUROPEAN JOURNAL OF APPLIED MATHEMATICS. - ISSN 0956-7925. - 27:06(2016), pp. 923-940. [10.1017/S0956792516000383]
Self-tuning proportional integral control for consensus in heterogeneous multi-agent systems
DE LELLIS, PIETRO;DI BERNARDO, MARIO
2016
Abstract
In this paper, we present a distributed Proportional-Integral (PI) strategy with self-tuning adaptive gains for reaching asymptotic consensus in networks of non-identical linear agents under constant disturbances. Alternative adaptive strategies are presented, based on global or local measures of the agents' disagreement. The proposed approaches are validated on a representative numerical example. Preliminary analytical results further confirm the viability of the self-tuning strategies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
