Design of a PD-type learning observer for reconstruction of actuator faults in descriptor systems
Sign Up to like & getrecommendations! Published in 2017 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2015.1143
Abstract: This study investigates the problem of reconstructing actuator faults for descriptor systems via a PD-type learning observer. By synthesising the derivatives of the output estimation error into the P-type learning law, a novel PD-type learning… read more here.
Keywords: learning observer; descriptor systems; type; type learning ... See more keywords
Learning Observer and Performance Tuning-Based Robust Consensus Policy for Multiagent Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2020.3047644
Abstract: This article addresses the multiagent systems consensus control problem via a learning observer-based performance tuning control policy. Specifically, a novel learning observer is presented to reconstruct the compound nonlinear terms and system states simultaneously. Based… read more here.
Keywords: learning observer; consensus; control; performance ... See more keywords