Publications       Rudy Negenborn
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Distributed model predictive control -- An overview and roadmap of future research opportunities


"This is a position article on the current state of the art in distributed Model Predictive Control (MPC) and our view on its future potential. We present results from a recent survey of 35 distributed MPC approaches. For this, we propose a way in which distributed MPC approaches can be categorized for comparison. We also link the potential that these approaches have to the domain of other fields s..." [More...]

R.R. Negenborn, J.M. Maestre. Distributed model predictive control -- An overview and roadmap of future research opportunities. IEEE Control Systems Magazine, vol. 34, no. 4, pp. 87-97, August 2014.   


Robust distributed predictive control of waterborne AGVs - a cooperative and cost-effective approach


"Waterborne Autonomous Guided Vessels (waterborne AGVs) moving over open waters experience environmental uncertainties. This paper proposes a novel cost-effective robust distributed control approach for waterborne AGVs. The overall system is uncertain and has independent subsystem dynamics but coupling objectives and state constraints. Waterborne AGVs determine their actions in a parallel way, whil..." [More...]

H. Zheng, R.R. Negenborn, G. Lodewijks. Robust distributed predictive control of waterborne AGVs - a cooperative and cost-effective approach. IEEE Transactions on Cybernetics, vol. 48, no. 8, pp. 2449-2461, August 2018.   


Robust distributed predictive control of waterborne AGVs - a cooperative and cost-effective approach


"Waterborne Autonomous Guided Vessels (waterborne AGVs) moving over open waters experience environmental uncertainties. This paper proposes a novel cost-effective robust distributed control approach for waterborne AGVs. The overall system is uncertain and has independent subsystem dynamics but coupling objectives and state constraints. Waterborne AGVs determine their actions in a parallel way, whil..." [More...]

H. Zheng, R.R. Negenborn, G. Lodewijks. Robust distributed predictive control of waterborne AGVs - a cooperative and cost-effective approach. IEEE Transactions on Cybernetics, vol. 48, no. 8, pp. 2449-2461, August 2018.   


Planning inland vessel operations in large seaports using a two-phase approach


"Inland vessels are often used to transport containers between large sea ports and the hinterland. Each time a vessel arrives in such a port, it typically visits several terminals to load and unload containers. In the Port of Rotterdam, the largest port in Europe, there are 77,000 inland vessels that have moored in the port in 2014 for transporting cargo. With the significant growth of containerize..." [More...]

S. Li, R.R. Negenborn, G. Lodewijks. Planning inland vessel operations in large seaports using a two-phase approach. Computers and Industrial Engineering, vol. 106, pp. 41-57, April 2017.   


Distributed model predictive control for cooperative synchromodal freight transport


"This paper investigates cooperative synchromodal freight transport planning among multiple intermodal freight transport operators in different and interconnected service networks. The cooperative planning is formulated as a cooperative model predictive container flow control problem, and solved with three Distributed Model Predictive Flow Control (DMPFC) approaches: the parallel and serial Augment..." [More...]

L. Li, R.R. Negenborn, B. De Schutter. Distributed model predictive control for cooperative synchromodal freight transport. Transportation Research Part E: Logistics and Transportation Review, vol. 105, pp. 240-260, September 2017.   


Distributed model predictive control -- An overview and roadmap of future research opportunities


"This is a position article on the current state of the art in distributed Model Predictive Control (MPC) and our view on its future potential. We present results from a recent survey of 35 distributed MPC approaches. For this, we propose a way in which distributed MPC approaches can be categorized for comparison. We also link the potential that these approaches have to the domain of other fields s..." [More...]

R.R. Negenborn, J.M. Maestre. Distributed model predictive control -- An overview and roadmap of future research opportunities. IEEE Control Systems Magazine, vol. 34, no. 4, pp. 87-97, August 2014.   


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