TY - GEN
T1 - Distributed self-triggered constraint control for multi-agent systems
T2 - 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
AU - Wu, Xiongjun
AU - Chen, Chunfang
AU - Zhou, Jialing
AU - Cai, Meng
AU - Wei, Feiming
AU - Chen, Qiliang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/26
Y1 - 2018/12/26
N2 - The combination and interconnection of the computational, cyber, and also communication devices using physical processes produced the Cyber-Physical Systems (CPSs), which turned out to be promising and extensively used in practice. These systems operating in real-world space environments have to overcome numerous challenges, chief among which are the reduction of the communication and computation burden, and the constraint upon the controller actuators. In this paper, aimed to overcome these difficulties, we have proposed the semi-global distributed parametric self-triggered constraint control protocols for the consensus task, under which the problem of achieving consensus when the agents collect information from the neighbors only at times that are designed iteratively and independently by each one of them on the basis of its current local measurements. Compared with the existing results, our approach presents several remarkable features. Both of the state feedback and output feedback policies for the constraint self-triggered frameworks are developed respectively. The consensus can be reached provided the communication graph is connected. An illustrative example is given to illustrate the effectiveness and the feasibility of the proposed control protocols.
AB - The combination and interconnection of the computational, cyber, and also communication devices using physical processes produced the Cyber-Physical Systems (CPSs), which turned out to be promising and extensively used in practice. These systems operating in real-world space environments have to overcome numerous challenges, chief among which are the reduction of the communication and computation burden, and the constraint upon the controller actuators. In this paper, aimed to overcome these difficulties, we have proposed the semi-global distributed parametric self-triggered constraint control protocols for the consensus task, under which the problem of achieving consensus when the agents collect information from the neighbors only at times that are designed iteratively and independently by each one of them on the basis of its current local measurements. Compared with the existing results, our approach presents several remarkable features. Both of the state feedback and output feedback policies for the constraint self-triggered frameworks are developed respectively. The consensus can be reached provided the communication graph is connected. An illustrative example is given to illustrate the effectiveness and the feasibility of the proposed control protocols.
KW - Constraint control
KW - Intermittent sampling
KW - Multi-agent
KW - Self-triggered consensus
UR - http://www.scopus.com/inward/record.url?scp=85061527213&partnerID=8YFLogxK
U2 - 10.1109/IECON.2018.8591054
DO - 10.1109/IECON.2018.8591054
M3 - Conference contribution
AN - SCOPUS:85061527213
T3 - Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
SP - 5881
EP - 5888
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 October 2018 through 23 October 2018
ER -