TY - GEN
T1 - Reliable NonLinear Model-Predictive Control via Validated Simulation
AU - Dit Sandretto, Julien Alexandre
N1 - Publisher Copyright:
© 2018 AACC.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - Model-Predictive Control (MPC) is one of the most advanced control techniques nowadays. Indeed, MPC approaches are well known for their robustness and stability properties. Nevertheless, Nonlinear Model-Predictive Control (NMPC), the extension of MPC in the nonlinear world, still poses challenging theoretical, computational and implementation issues. By the help of validated simulation, which can handle nonlinear models, a new algorithm for a robust by-construction control strategy based on NMPC is proposed.
AB - Model-Predictive Control (MPC) is one of the most advanced control techniques nowadays. Indeed, MPC approaches are well known for their robustness and stability properties. Nevertheless, Nonlinear Model-Predictive Control (NMPC), the extension of MPC in the nonlinear world, still poses challenging theoretical, computational and implementation issues. By the help of validated simulation, which can handle nonlinear models, a new algorithm for a robust by-construction control strategy based on NMPC is proposed.
UR - https://www.scopus.com/pages/publications/85052587056
U2 - 10.23919/ACC.2018.8431304
DO - 10.23919/ACC.2018.8431304
M3 - Conference contribution
AN - SCOPUS:85052587056
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 5454
EP - 5459
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -