Bart Kersbergen

On the eigenstructure of a class of max-plus linear systems

Bart De Schutter, Robert Babuska, Gabriel A. D. Lopes, 2011, IEEE Conference on Decision and Control and European Control Conference.

Synchronization of a class of cyclic discrete-event systems describing legged locomotion

Ton J.J. van den Boom, Bart De Schutter, Robert Babuska, 2012, Discret. Event Dyn. Syst..

Distributed model predictive control for railway traffic management

Bart De Schutter, Bart Kersbergen, Ton J. J. van den Boom, 2016 .

Distributed model predictive control for rescheduling of railway traffic

Bart De Schutter, Bart Kersbergen, Ton J. J. van den Boom, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Reducing the time needed to solve the global rescheduling problem for railway networks

Bart De Schutter, Bart Kersbergen, Ton J. J. van den Boom, 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

Performance analysis of MILP based model predictive control algorithms for dynamic railway scheduling

Bart Kersbergen, Ton J. J. van den Boom, Katalin M. Hangos, 2013, 2013 European Control Conference (ECC).

Modeling and Control of Switching Max-Plus-Linear Systems: Rescheduling of railway traffic and changing gaits in legged locomotion

Bart Kersbergen, B. Kersbergen, 2015 .

Structured modeling, analysis, and control of complex railway operations

Bart De Schutter, Bart Kersbergen, Ton J. J. van den Boom, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Modeling and Control of Legged Locomotion via Switching Max-Plus Models

Bart De Schutter, Robert Babuska, Gabriel A. D. Lopes, 2014, IEEE Transactions on Robotics.

Towards railway traffic management using switching Max-plus-linear systems

Ton J.J. van den Boom, Bart De Schutter, Bart Kersbergen, 2016, Discret. Event Dyn. Syst..

Optimal gait switching for legged locomotion

Bart De Schutter, Robert Babuska, Gabriel A. D. Lopes, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.