683 - 684 |
Introduction to the special issue on hierarchical and distributed model predictive control De Schutter B, Scattolini R |
685 - 697 |
Distributed model predictive control based on agent negotiation Maestre JM, de la Pena DM, Camacho EF, Alamo T |
698 - 704 |
Cooperative distributed model predictive control for nonlinear systems Stewart BT, Wright SJ, Rawlings JB |
705 - 714 |
Decentralized model predictive control of dynamically coupled linear systems Alessio A, Barcelli D, Bemporad A |
715 - 728 |
Sensitivity-based coordination in distributed model predictive control Scheu H, Marquardt W |
729 - 737 |
A distributed MPC strategy based on Benders' decomposition applied to multi-source multi-zone temperature regulation Morosan PD, Bourdais R, Dumur D, Buisson J |
738 - 745 |
Multiple shooting for distributed systems with applications in hydro electricity production Savorgnan C, Romani C, Kozma A, Diehl M |
746 - 755 |
An iterative scheme for distributed model predictive control using Fenchel's duality Doan MD, Keviczky T, De Schutter B |
756 - 766 |
Parallel and distributed optimization methods for estimation and control in networks Necoara I, Nedelcu V, Dumitrache I |
767 - 774 |
Moving horizon estimation for distributed nonlinear systems with application to cascade river reaches Farina M, Ferrari-Trecate G, Romani C, Scattolini R |
775 - 786 |
Partitioning approach oriented to the decentralised predictive control of large-scale systems Ocampo-Martinez C, Bovo S, Puig V |
787 - 799 |
A hierarchical distributed model predictive control approach to irrigation canals: A risk mitigation perspective Zafra-Cabeza A, Maestre JM, Ridao MA, Camacho EF, Sanchez L |
800 - 815 |
A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark Alvarado I, Limon D, de la Pena DM, Maestre JM, Ridao MA, Scheu H, Marquardt W, Negenborn RR, De Schutter B, Valencia F, Espinosa J |