Homepage Ton van den Boom


dr.ir. Ton J.J. van den Boom

Delft Center for Systems and Control
Delft University of Technology

postal address: Mekelweg 2, 2628 CD Delft, The Netherlands
visitor's address: Room 8C.3.09 , Mekelweg 2, Delft
phone: +31-15-278 4052
phone secretary: +31-15-278 5119
fax: +31-15-278 6679
e-mail:A.J.J.vandenBoom@tudelft.nl


Recent publications:


Journal papers:


[1] Miguel Ayala Botto, Bart Wams, Ton van den Boom, and José Sá da Costa. Robust stability of feedback linearised systems modelled with neural networks: dealing with uncertainty. Engineering Applications of Artificial Intelligence, 13(6):659 - 670, 2000.
[2] B. De Schutter and T.J.J. van den Boom. Model predictive control for max-min-plus systems. In Discrete Event Systems: Analysis and Control (R. Boel and G.Stremersch, eds.) , vol.569 of Kluwer Int. Series in Eng. and Computer Sc., pages 201-208, 2000.
[3] H. H. J. Bloemen, T. J. J. van den Boom, and H. B. Verbruggen. Model-based predictive control for Hammerstein-Wiener systems. International Journal of Control, 74(5):482-495, 2001.
[4] B. De Schutter and T.J.J. van den Boom. Model predictive control for max-plus-linear discrete event systems. Automatica, 37(7):1049-1056, July 2001.
[5] H.H.J. Bloemen, C. T. Chou, T. J. J. van den Boom, V. Verdult, M. Verhaegen, and T. C. Backx. Wiener model identification and predictive control for dual composition control of a distillation column. Journal of Process Control, 11(6):601-620, 2001.
[6] Ton J.J. van den Boom and Bart De Schutter. MPC for perturbed max-plus-linear systems. Systems and Control Letters, 45(1):21-33, January 2002.
[7] S. Mollov, T. J. J. van den Boom, F. Cuesta, A. Ollero, and R. Babuška. Robust stability constraints for fuzzy model predictive control. IEEE Transactions on fuzzy systems, 10(1):50-64, February 2002.
[8] H. H. J. Bloemen, T. J. J. van den Boom, and H. B. Verbruggen. On the trade-off between feasibility and performance in bilinear and state-affine model-based predictive control. International Journal of Control, 75(4):275-284, 2002.
[9] H. H. J. Bloemen, T. J. J. van den Boom, and H. B. Verbruggen. Optimizing the end point state weighting in Model-based Predictive Control. Automatica, 38(6):1061-1068, June 2002.
[10] B. De Schutter, T. van den Boom, and A. Hegyi. A model predictive control approach for recovery from delays in railway systems. Transportion Research Record, (1793):15-20, 2002.
[11] T.J.J. van den Boom and B. De Schutter. Properties of MPC for max-plus-linear systems. European Journal of Control, 8(5):53-62, 2002.
[12] B. De Schutter and T.J.J. van den Boom. MPC for discrete-event systems with soft and hard synchronization constraints. International Journal of Control, 76(1):82-94, January 2003.
[13] T.J.J. van den Boom and B.R.J. Haverkamp. Towards a state-space polytopic uncertainty description using subspace model identification techniques. International Journal of Control, 76(15):1570-1583, 2003.
[14] Ton van den Boom, Miguel Ayala Botto, and José Sá da Costa. Robust control of dynamical systems using neural networks with input-output feedback linearization. International Journal of Control, 76(18):1783-1789, 2003.
[15] Ton J.J. van den Boom and Bart De Schutter. Model predictive control for perturbed max-plus-linear systems: A stochastic approach. International Journal of Control, 77(3):302-309, February 2004.
[16] B. De Schutter and T.J.J. van den Boom. MPC for continuous piecewise-affine systems. System and Control Letters, 52(3/4):179-192, 2004.
[17] H. H. J. Bloemen, T. J. J. van den Boom, and H. B. Verbruggen. Optimizing algorithms for bilinear model-based predictive control problems. AIChE Journal, 50(7):1453-1461, 2004.
[18] T.J.J. van den Boom, B. De Schutter, G. Schullerus, and V. Krebs. Adaptive model predictive control using max-plus-linear input-output models. IEE proceedings, 151(3):339-346, May 2004.
[19] T.J.J. van den Boom, M. Ayala Botto, and P. Hoekstra. Design of an analytic constrained predictive controller using neural networks. International Journal of System Science, 36(10):639-650, 2005.
[20] G. Schullerus, V. Krebs, B. De Schutter, and T.J.J. van den Boom. Optimal input signal design methods for identification of max-plus-linear systems. Automatica, 42(6):937-943, June 2006.
[21] T.J.J. van den Boom and B. De Schutter. Modelling and control of discrete event systems using switching max-plus-linear systems. Control Engineering Practice, 14(10):1199-1211, October 2006.
[22] T.J.J. van den Boom, J.B. Klaassens, and R. Meiland. Real-time time-optimal control for a nonlinear container crane using a neural network. In Informatics in Control, Automation and Control II, Joacuim Filipe, Jean-Louis Ferrier, Juan A. Cetto, Marina Carvalho, editors, pages -, 2007.
[23] Ton J.J. van den Boom, Bernd Heidergott, and Bart De Schutter. Complexity reduction in MPC for stochastic max-plus-linear systems by variability expansion. Automatica, 43(6):1058-1063, june 2007.
[24] Ion Necoara, Eric C. Kerrigan, Bart De Schutter, and Ton J.J. van den Boom. Finite-horizon min-max control of max-plus-linear systems. IEEE Transactions on Automatic Control, 52(6):1088-1093, june 2007.
[25] I. Necoara, B. De Schutter, T.J.J. van den Boom, and H. Hellendoorn. Stable model predictive control for constrained max-plus-linear systems. Discrete Event Dynamic Systems: Theory and Applications, 17(3):329-354, september 2007.
[26] Samo Gerkšic, Stanko Strmcnik, and Ton van den Boom. Feedback action in predictive control: An experimental case study. Control Engineering Practice, 16(3):321-332, March 2008.
[27] I. Necoara, B. De Schutter, T. van den Boom, and H. Hellendoorn. Model predictive control for uncertain max-min-plus-scaling systems. To appear in International Journal of Control (electr. version: 25 October 2007), 2008.
[28] I. Necoara, T.J.J. van den Boom, B. De Schutter, and J. Hellendoorn. Stabilization of max-plus-linear systems using model predictive control: The unconstrained case. To appear in Automatica, 2008.
[29] I. Necoara, B. De Schutter, T.J.J. van den Boom, and H. Hellendoorn. Robust control of constrained max-plus-linear systems. To appear in International Journal of Robust and Nonlinear Control, 2008.

Conference papers:


[30] M. Ayala Botto, B. Wams, T.J.J. van den Boom, and J.M.G. Sá da Costa. Stability analysis nonlinear plants under approximate feedback linearization. In Proceedings of the International Conference Control 2000, Cambridge, UK, 4-7 September, 2000.
[31] T.J.J. van den Boom and B.R.J. Haverkamp. Towards a state-space polytopic uncertainty description using subspace model identification techniques. In Proceedings of the American Control Conference, pages 1807-1811, Chicago, Illinois, June, 2000.
[32] B. De Schutter and T.J.J. van den Boom. Model predictive control for max-plus-linear systems. In Proceedings of the American Control Conference, pages 4046-4050, Chicago, Illinois, June, 2000.
[33] Miguel Ayala Botto, Ton van den Boom, and José Sá da Costa. Stability analysis to parametric uncertainty: extension to the multivariable case. In Lecture Notes in Control and Information Sciences, Dirk Aeyels, Françoise Lamnabhi-Lagarrigue and Arjan van der Schaft, editors, volume 1, pages 93-102, 2000.
[34] C. T. Chou, H. H. J. Bloemen, V. Verdult, T. J. J. van den Boom, T. C. Backx, and M. Verhaegen. Nonlinear identification of high purity distillation columns. In Proceedings of the Symposium on System Identification (SYSID 2000), Santa Barbara, California, June 21-23 2000.
[35] H. H. J. Bloemen, C. T. Chou, T. J. J. van den Boom, V. Verdult, M. Verhaegen, and T. C. Backx. Wiener MPC for high purity dual composition control of a distillation column. In Proceedings of the Process Control and Instrumentation 2000, pages 198-203, Glasgow, Scotland, 26-28 July 2000.
[36] T.J.J. van den Boom and B. De Schutter. MPC for max-plus-linear systems: Closed-loop behavior and tuning. In Proceedings of the Workshop on Systems with time-domain constraints, Eindhoven, The Netherlands, 30 August - 1 September 2000.
[37] H. H. J. Bloemen, T. J. J. van den Boom, and H. B. Verbruggen. Model-based predictive control for Hammerstein systems. In Proceedings of the Conference on Decision and Control, Sydney, Australia, December 12-15, 2000.
[38] H. H. J. Bloemen, T. J. J. van den Boom, and H. B. Verbruggen. An optimization algorithm dedicated to a MPC problem for discrete time bilinear models. In Proceedings of the American Control Conference, Arlington, VA, 2001.
[39] T.J.J. van den Boom and B. De Schutter. MPC for max-plus-linear systems: Closed-loop behavior and tuning. In Proceedings of the American Control Conference, Arlington, VA, 2001.
[40] B. De Schutter and T.J.J. van den Boom. Model predictive control for max-min-plus-scaling systems. In Proceedings of the American Control Conference, Arlington, VA, 2001.
[41] B. De Schutter and T.J.J. van den Boom. Model predictive control for railway networks. In Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM'01), pages 105-110, Como, Italy, 8–-11 July 2001.
[42] B. De Schutter and T.J.J. van den Boom. Model Predictive Control for discrete-event systems with soft and hard synchronisation constraints. In Preprints of the Workshop on max-plus algebras, Praha, Czech Republic, 27-29 August 2001.
[43] Miguel Ayala Botto, Ton van den Boom, and José Sá da Costa. Robust control using neural networks and input-output feedback linearization. In Proceedings of the European Control Conference, pages 3887-3892, Porto, Portugal, 2001.
[44] Peter Hoekstra, Ton J.J. van den Boom, and Miguel Ayala Botto. Design of an analytic constrained predictive controller using neural networks. In Proceedings of the European Control Conference, pages 3300-3305, Porto, Portugal, 2001.
[45] Ton J.J. van den Boom and Bart De Schutter. MPC for perturbed max-plus-linear systems. In Proceedings of the European Control Conference, pages 3783-3788, Porto, Portugal, 2001.
[46] Ton J.J. van den Boom and Bart De Schutter. Model predictive control for perturbed max-plus-linear systems: A stochastic approach. In Proceedings of the Conference on Decision and Control, pages 4535-4540, Orlando, Florida, December 2001.
[47] B. De Schutter, T. van den Boom, and A. Hegyi. A model predictive control approach for recovery from delays in railway systems. In Proceedings of the 81st Annual Meeting of the Transportation Research Board, Washington, DC, January 2002.
[48] T.J.J. van den Boom. Infinite-horizon MPC with structured input signals. In Proceedings of the American Control Conference 2002, pages 448-453, Anchorage, Alaska, 8-10 May 2002.
[49] A. Hegyi, B. De Schutter, H. Hellendoorn, and T.J.J. van den Boom. Optimal coordination of ramp metering and variable speed control - an MPC approach. In Proceedings of the American Control Conference 2002, pages 3600-3605, Anchorage, Alaska, 8-10 May 2002.
[50] B. De Schutter, T.J.J. van den Boom, and G.J. Benschop. MPC for continuous piecewise-affine systems. In Proceedings of the IFAC World Congress, Paper 229 / T-Fr-A16, Barcelona, Spain, 2002.
[51] H. H. J. Bloemen, V. Verdult, T. J. J. van den Boom, and M. Verhaegen. Bilinear versus linear MPC: Application to a polymerization process. In Proceedings of the IFAC World Congress 2002, Paper 1142/T-Th-E11, Barcelona, Spain, 2002.
[52] B. De Schutter and T.J.J. van den Boom. Connection and speed control in railway systems, a model predictive control approach. In Proceedings of the Workshop on Discrete Event Systems (WODES 02), pages 49-54, Zaragossa, Spain, 2002.
[53] B. De Schutter and T.J.J. van den Boom. Model predictive control for max-min-plus-scaling systems - efficient implementation. In Proceedings of the Workshop on Discrete Event Systems (WODES 02), pages 343-348, Zaragossa, Spain, 2002.
[54] Ton J.J. van den Boom, Bart De Schutter, and Bernd Heidergott. Complexity reduction in MPC for stochastic max-plus-linear systems by variability expansion. In Proceedings of the Conference on Decision and Control, pages 3567-3572, Las Vegas, Nevada, December 2002.
[55] B. De Schutter, T.J.J. van den Boom, and V. Verdult. State space identification of max-plus-linear discrete event systems from input-output data. In Proceedings of the Conference on Decision and Control, pages 4024-4029, Las Vegas, Nevada, December 2002.
[56] T.J.J. van den Boom, B. De Schutter, G. Schullerus, and V. Krebs. Adaptive model predictive control using max-plus-linear input-output models. In Proceedings of the American Control Conference 2003, pages 933-938, Denver, Colorado, 2003.
[57] G. Schullerus, V. Krebs, B. De Schutter, and T.J.J. van den Boom. Optimal input signal design for identification of max-plus-linear systems. In Proceedings of the European Control Conference 2003, paper 26, Cambridge, UK, 2003.
[58] T.J.J. van den Boom, B. De Schutter, and V. Verdult. Identification of stochastic max-plus-linear systems. In Proceedings of the European Control Conference 2003, paper 104, Cambridge, UK, 2003.
[59] M. Ayala Botto, T.J.J. van den Boom, and P. Hoekstra. Feed-forward neural networks in a real-time implementation of a predictive controller. In Proceedings of the IFAC conf. on Intelligent control systems and signal processing, pages pp.72-77, Faro, Portugal, April 2003.
[60] T.J.J. van den Boom and B. De Schutter. Modelling and control of railway networks. In Proceedings of the American Control Conference 2004, pages 5728-5733, Boston, MA, June/July 2004.
[61] B. De Schutter and T.J.J. van den Boom. Model predictive control for discrete-event systems and hybrid systems - part i: Discrete-event systems. In Proceedings of the 16th Int. Symp. on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, July 2004.
[62] B. De Schutter and T.J.J. van den Boom. Model predictive control for discrete-event systems and hybrid systems - part ii: Hybrid systems. In Proceedings of the 16th Int. Symp. on Mathematical Theory of Networks and Systems (MTNS 2004), Leuven, Belgium, July 2004.
[63] T.J.J. van den Boom and B. De Schutter. Modelling and control of discrete event systems using switching max-plus-linear systems. In Proceedings of the Workshop on Discrete Event Systems (WODES 04), Reims, France, September 2004.
[64] I. Necoara, B. De Schutter, T. van den Boom, and H. Hellendoorn. Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances. In Proceedings of the Conference on Decision and Control 2004, pages 1848-1853, Nassau, Bahamas, December 2004.
[65] T.J.J. van den Boom, J.B. Klaassens, and R. Meiland. Real-time time-optimal control for a nonlinear container crane using a neural network. In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics (ICINCO 2005), pages 39-44, Barcelona, 12-17 September 2005.
[66] T.J.J. van den Boom and B. De Schutter. MPC for max-plus-linear systems with guaranteed stability. In Proceedings of the IFAC World Congress 2005, paper no. 02342, session Mo-E12-TO/1, Prague, Czech, July 2005.
[67] I. Necoara, B. De Schutter, W.M.P.H. Heemels, S. Weiland, M. Lazar, and T.J.J. van den Boom. Control of PWA systems using a stable receding horizon method. In Proceedings of the IFAC World Congress 2005, paper no. 02794, session Tu-E21-TO/2, Prague, Czech, July 2005.
[68] I. Necoara, B. De Schutter, and T.J.J. van den Boom. Model predictive control for perturbed piecewise affine systems. In Proceedings of ENOC 2005, pages 231-240, Eindhoven, The Netherlands, August 2005.
[69] T.J.J. van den Boom, B. De Schutter, and I. Necoara. On MPC for max-plus-linear systems: Analytic solution and stability. In Proceedings of the CDC/ECC 2005, Sevilla, Spain, December 2005.
[70] Ion Necoara, Bart De Schutter, Ton J.J. van den Boom, and Hans Hellendoorn. Robustly stabilizing MPC for perturbed PWL systems. In Proceedings of the CDC/ECC 2005, Sevilla, Spain, December 2005.
[71] T.J.J. van den Boom and B. De Schutter. MPC of implicit switching max-plus-linear discrete event systems - timing aspects. In Proceedings of the Workshop on Discrete Event Systems (WODES 2006), pages 457-462, Ann Harbor, USA, July 2006.
[72] Ion Necoara, Bart De Schutter, Ton van den Boom, and Hans Hellendoorn. Min-max model predictive control for uncertain max-min-plus-scaling systems. In Proceedings of the Workshop on Discrete Event Systems (WODES 2006), pages 439-444, Ann Harbor, USA, July 2006.
[73] Ion Necoara, Ton van den Boom, Bart De Schutter, and Hans Hellendoorn. Stabilization of max-plus-linear systems using receding horizon control - the unconstrained case. In Proceedings of the 2nd IFAC Conference on Analysis and Design of Hybrid Systems (ADHS06), Alghero, Sardinia, Italy, June 7–9 2006.
[74] Ion Necoara, Bart De Schutter, Ton J.J. van den Boom, and Hans Hellendoorn. Stable receding horizon control for max-plus-linear systems. In Proceedings of the American Control Conference 2006, pages 4055-4060, Minneapolis, USA, June 2006.
[75] T.J.J. van den Boom and B. De Schutter. Dynamic railway network management using switching max-plus-linear models. In Proceedings of the 11th IFAC sysmposium on Control in Transportation Systems 2006, Delft, the Netherlands, August 2006.
[76] Erik van der Noll, Ton van den Boom, and Ben Klaassens. Time optimal control of a mobile robot using a neural network: A Chebyshev polynomial approach. In Proceedings of Controlo 2006, Lisbon, Portugal, September 2006.
[77] Ion Necoara, Eric C. Kerrigan, and Ton J.J. van den Boom Bart De Schutter. Worst-case optimal control of uncertain max-plus-linear systems. In Proceedings of the Conference on Decision and Control 2006, pages 6055-6060, San Diego, CA, December 2006.
[78] Daniele Corona, Ion Necoara, Bart De Schutter, and Ton J.J. van den Boom. Robust hybrid MPC applied to the design of an adaptive cruise controller for a road vehicle. In Proceedings of the Conference on Decision and Control 2006, pages 1721-1726, San Diego, CA, December 2006.
[79] T.J.J. Lombaerts, D.A. Joosten, J. Breeman, H. Smaili, T.J.J. van den Boom, Q.P. Chu, J.A. Mulder, and M. Verhaegen. Assessment criteria as specifications for reconfiguring control. In Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, number AIAA-2006-6331, Keystone, CO, August 2006.
[80] E.R. van Oort, Q.P. Chu, J.A. Mulder, and T.J.J. van den Boom. Robust model predictive control of a feedback linearized nonlinear F-16/MATV aircraft model. In Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, number AIAA-2006-6318, Keystone, CO, August 2006.
[81] T.J.J. van den Boom and B. De Schutter. Stabilizing controllers for randomly switching max-plus-linear discrete event systems. In Proceedings of the European Control Conference 2007, pages 4952-4959, Kos, Greece, July 2007.
[82] A. Hegyi, M. Burger, B. De Schutter, J. Hellendoorn, and T.J.J. van den Boom. Towards a practical application of model predictive control to suppress shock waves on freeways. In Proceedings of the European Control Conference 2007, pages 1765-1771, Kos, Greece, July 2007.
[83] Diederick Joosten, Ton van den Boom, and Thomas Lombaerts. Effective control allocation in fault-tolerant flight control with mpc and feedback linearization. In Proceedings of the European Control Conference 2007, Kos, Greece, July 2007.
[84] T.J.J. van den Boom and B. De Schutter. On a model predictive control algorithm for dynamic railway network management. In I.A. Hansen, A. Radtke, J. Pachl, and E. Wendler, editors, Proceedings of the 2nd International Seminar on Railway Operations Modelling and Analysis (RailHannover2007), Hannover, Germany, march 2007.
[85] Stefano Piccagli, Ton van den Boom, and Antonio Visioli. Minimum-time control of a two-wheeled differentially driven vehicle in the presence of slip. In IFAC World Congress 2008, Seoul, South Korea, July 2008.
[86] D.A. Joosten, T.J.J. van den Boom, and T.J.J. Lombaerts. Envelope-wide fault-tolerant control using dynamic inversion and model predictive control applied to an aerospace benchmark. In IFAC World Congress 2008, Seoul, South Korea, July 2008.
[87] Ton van den Boom and Bart De Schutter. Model predictive control for switching max-plus-linear systems with random and deterministic switching. In IFAC World Congress 2008, Seoul, South Korea, July 2008.
[88] Ton van den Boom and Bart De Schutter. Randomly switching max-plus linear systems and equivalent classes of discrete event systems. In Workshop on Discrete Event Systems (WODES), Göteborg, Sweden, May 28-30 2008.
[89] Bart De Schutter and Ton van den Boom. Max-plus algebra and max-plus linear discrete event systems: An introduction. In Workshop on Discrete Event Systems (WODES), Göteborg, Sweden, May 28-30 2008.
[90] D.A. Joosten, T.J.J. van den Boom, and T.J.J. Lombaerts. Computationally efficient use of MPC and dynamic inversion for reconfigurable flight control. In AIAA Guidance, Navigation and Control Conference and Exhibit, Honolulu, Hawaii, Aug 18-21 2008.
[91] D.A. Joosten, T.J.J. van den Boom, and M. Verhaegen. Fault-tolerant control through a synthesis of model-predictive control and model inversion. In GARTEUR book, 2008.

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