TY - JOUR
T1 - Model reference adaptive control of networked systems with state and input delays
AU - Wafi, Moh Kamalul
AU - Indriawati, Katherin
AU - Widjiantoro, Bambang L.
N1 - Publisher Copyright:
© 2024 Institute of Advanced Engineering and Science. All rights reserved.
PY - 2024/10
Y1 - 2024/10
N2 - Adaptive control strategies have been developed in response to more advanced complex systems and to deal with uncertain systems while maintaining the desired conditions. This paper addresses the networked unknown and unstable heterogeneous systems following a stable reference (leader), which is related to network synchronization. We deliver two different scenarios; each agent both fully communicates to the leader and shares communication among neighborhood agents and the leader. The communication among agents and the leader are weighted using Laplacian-like matrix and the model weight matrix in turn. Also, the state and input delays are induced to the systems to capture the real limited communication while the prediction of the reference signals and the augmented systems are proposed to deal with them. Moreover, the rigorous mathematical foundations of two adaptive laws, the stability analysis, the threshold of network, and the communication network are thoroughly presented. Also, the numerical illustrations of the two scenarios are given to show the effectiveness of the proposed method in the networked system. The results show that for both scenarios working on the required setting, the perfect tracking to the leader is guaranteed. Beyond that, the future research would implement the distributed adaptive control-oriented learning of networked system under some faults.
AB - Adaptive control strategies have been developed in response to more advanced complex systems and to deal with uncertain systems while maintaining the desired conditions. This paper addresses the networked unknown and unstable heterogeneous systems following a stable reference (leader), which is related to network synchronization. We deliver two different scenarios; each agent both fully communicates to the leader and shares communication among neighborhood agents and the leader. The communication among agents and the leader are weighted using Laplacian-like matrix and the model weight matrix in turn. Also, the state and input delays are induced to the systems to capture the real limited communication while the prediction of the reference signals and the augmented systems are proposed to deal with them. Moreover, the rigorous mathematical foundations of two adaptive laws, the stability analysis, the threshold of network, and the communication network are thoroughly presented. Also, the numerical illustrations of the two scenarios are given to show the effectiveness of the proposed method in the networked system. The results show that for both scenarios working on the required setting, the perfect tracking to the leader is guaranteed. Beyond that, the future research would implement the distributed adaptive control-oriented learning of networked system under some faults.
KW - Adaptive control
KW - Distributed control
KW - Input and state delays
KW - Model reference adaptive control adaptation
KW - Networked systems
UR - http://www.scopus.com/inward/record.url?scp=85201049803&partnerID=8YFLogxK
U2 - 10.11591/ijece.v14i5.pp5055-5063
DO - 10.11591/ijece.v14i5.pp5055-5063
M3 - Article
AN - SCOPUS:85201049803
SN - 2088-8708
VL - 14
SP - 5055
EP - 5063
JO - International Journal of Electrical and Computer Engineering
JF - International Journal of Electrical and Computer Engineering
IS - 5
ER -