TY - JOUR
T1 - Robust Multi-Model Predictive Control via Integral Sliding Modes
AU - Galvan-Guerra, Rosalba
AU - Incremona, Gian Paolo
AU - Fridman, Leonid
AU - Ferrara, Antonella
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2022
Y1 - 2022
N2 - This letter presents a novel optimal control approach for systems represented by a multi-model, i.e., a finite set of models, each one corresponding to a different operating point. The proposed control scheme is based on the combined use of model predictive control (MPC) and first order integral sliding mode control. The sliding mode control component plays the important role of rejecting matched uncertainty terms possibly affecting the plant, thus making the controlled equivalent system behave as the nominal multi-model. A min-max multi-model MPC problem is solved using the equivalent system without further robustness oriented add-ons. In addition, the MPC design is performed so as to keep the computational complexity limited, thus facilitating the practical applicability of the proposal. Simulation results show the effectiveness of the proposed control approach.
AB - This letter presents a novel optimal control approach for systems represented by a multi-model, i.e., a finite set of models, each one corresponding to a different operating point. The proposed control scheme is based on the combined use of model predictive control (MPC) and first order integral sliding mode control. The sliding mode control component plays the important role of rejecting matched uncertainty terms possibly affecting the plant, thus making the controlled equivalent system behave as the nominal multi-model. A min-max multi-model MPC problem is solved using the equivalent system without further robustness oriented add-ons. In addition, the MPC design is performed so as to keep the computational complexity limited, thus facilitating the practical applicability of the proposal. Simulation results show the effectiveness of the proposed control approach.
KW - Sliding mode control
KW - model predictive control
KW - multi-model systems
KW - uncertain systems
UR - http://www.scopus.com/inward/record.url?scp=85130074716&partnerID=8YFLogxK
U2 - 10.1109/LCSYS.2022.3172729
DO - 10.1109/LCSYS.2022.3172729
M3 - Artículo
AN - SCOPUS:85130074716
SN - 2475-1456
VL - 6
SP - 2623
EP - 2628
JO - IEEE Control Systems Letters
JF - IEEE Control Systems Letters
ER -