TY - GEN
T1 - Performance analysis of feedbacked passive systems for decentralized design of large-scale systems
AU - Urata, Kengo
AU - Inoue, Masaki
N1 - Funding Information:
This research was supported by CREST No. JPMJCR15K1 from JST, by the Grant-in-Aid for Young Scientists (B), No. 17K14704 from JSPS, and by the Grand-in-Aid for Research fellow, No. 17J05742 from JSPS. REFERENCES
Publisher Copyright:
© 2017 IEEE.
PY - 2018/1/18
Y1 - 2018/1/18
N2 - This paper addresses quantitative analysis and performance improvement of feedbacked passive systems. Matrix-parameters are integrated into the passivity to enable performance evaluation of passive dynamical systems. With the matrices, the feedback system composed of the passive subsystems is quantitatively evaluated. It is further shown that the performance of the feedback system is improved as compared to that of the disconnected subsystems. Then, the quantitative analysis of the feedback system is extended to that of an iterative feedback system. Motivated from the analysis of a decentralized controlled system, we assume that each subsystem in the iterative feedback system has a special structure. Then, the gradual performance improvement is shown via the additional subsystem connection.
AB - This paper addresses quantitative analysis and performance improvement of feedbacked passive systems. Matrix-parameters are integrated into the passivity to enable performance evaluation of passive dynamical systems. With the matrices, the feedback system composed of the passive subsystems is quantitatively evaluated. It is further shown that the performance of the feedback system is improved as compared to that of the disconnected subsystems. Then, the quantitative analysis of the feedback system is extended to that of an iterative feedback system. Motivated from the analysis of a decentralized controlled system, we assume that each subsystem in the iterative feedback system has a special structure. Then, the gradual performance improvement is shown via the additional subsystem connection.
UR - http://www.scopus.com/inward/record.url?scp=85046303352&partnerID=8YFLogxK
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U2 - 10.1109/CDC.2017.8263991
DO - 10.1109/CDC.2017.8263991
M3 - Conference contribution
AN - SCOPUS:85046303352
T3 - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
SP - 2336
EP - 2341
BT - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 56th IEEE Annual Conference on Decision and Control, CDC 2017
Y2 - 12 December 2017 through 15 December 2017
ER -