| 1 |
Optimizing Sets of Solutions for Controlling Constrained Nonlinear Systems
Schurmann B, Althoff M
IEEE Transactions on Automatic Control, 66(3), 981, 2021 |
| 2 |
DISTRIBUTED EVENT-TRIGGERED MODEL PREDICTIVE CONTROL OF COUPLED NONLINEAR SYSTEMS
Liu CX, Li HP, Shi Y, Xu DM
SIAM Journal on Control and Optimization, 58(2), 714, 2020 |
| 3 |
Robust MPC with recursive model update
Lorenzen M, Cannon M, Allgower F
Automatica, 103, 461, 2019 |
| 4 |
Distributed model predictive control-Recursive feasibility under inexact dual optimization
Kohler J, Muller MA, Allgower F
Automatica, 102, 1, 2019 |
| 5 |
Tube-based model predictive control for linear parameter-varying systems with bounded rate of parameter variation
Abbas HS, Mannel G, Hoffmann CHN, Rostalski P
Automatica, 107, 21, 2019 |
| 6 |
Robust self-triggered control for time-varying and uncertain constrained systems via reachability analysis
Gao YL, Yu P, Dimarogonas DV, Johansson KH, Xie LH
Automatica, 107, 574, 2019 |
| 7 |
Inexact Newton-Kantorovich Methods for Constrained Nonlinear Model Predictive Control
Dontchev AL, Huang MK, Kolmanovsky IV, Nicotra MM
IEEE Transactions on Automatic Control, 64(9), 3602, 2019 |
| 8 |
Receding horizon consensus of general linear multi-agent systems with input constraints: An inverse optimality approach
Li HP, Shi Y, Yan WS, Liu FQ
Automatica, 91, 10, 2018 |
| 9 |
Synthesis of virtual holonomic constraints for obtaining stable constraint dynamics
Costalunga A, Consolini L
Automatica, 93, 262, 2018 |
| 10 |
Scalable distributed model predictive control for constrained systems
Asadi E, Richards A
Automatica, 93, 407, 2018 |
