TY - GEN
T1 - Self-triggered nonlinear model predictive control for networked control systems
AU - Hashimoto, Kazumune
AU - Adachi, Shuichi
AU - Dimarogonas, Dimos V.
N1 - Publisher Copyright:
© 2015 American Automatic Control Council.
PY - 2015/7/28
Y1 - 2015/7/28
N2 - In this paper, we propose a self-triggered formulation of Model Predictive Control for continuous-time nonlinear networked control systems. Our control method derives not only when to execute control tasks but also provides the way to discretize the optimal control trajectory so as to alleviate the communication burden as much as possible. Stability analysis under the sample-and-hold implementation is also given in detail, which guarantees that the state converges to a terminal region where the local linear state feedback can stabilize the system. A simulation example verifies our proposed framework.
AB - In this paper, we propose a self-triggered formulation of Model Predictive Control for continuous-time nonlinear networked control systems. Our control method derives not only when to execute control tasks but also provides the way to discretize the optimal control trajectory so as to alleviate the communication burden as much as possible. Stability analysis under the sample-and-hold implementation is also given in detail, which guarantees that the state converges to a terminal region where the local linear state feedback can stabilize the system. A simulation example verifies our proposed framework.
UR - http://www.scopus.com/inward/record.url?scp=84940936752&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84940936752&partnerID=8YFLogxK
U2 - 10.1109/ACC.2015.7171995
DO - 10.1109/ACC.2015.7171995
M3 - Conference contribution
AN - SCOPUS:84940936752
T3 - Proceedings of the American Control Conference
SP - 4239
EP - 4244
BT - ACC 2015 - 2015 American Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 American Control Conference, ACC 2015
Y2 - 1 July 2015 through 3 July 2015
ER -