|Boris Houska, Assistant Professor |
Model Predictive Control
Dr. Houska is an assistant professor at the School of Informations Science and Technology at ShanghaiTech University. His research interests include numerical optimization and optimal control, robust and global optimization, as well as fast model predictive control algorithms.
Dr. Houska received a diploma in mathematics and physics from the University of Heidelberg in 2007, and a Ph.D. in Electrical Engineering from KU Leuven in 2011. From 2012 to 2013 he was a postdoctoral researcher at the Centre for Process Systems Engineering at Imperial College London. Subsequently, from 2013-14, Dr. Houska has worked as an associate professor at Shanghai Jiao Tong University. Moreover, he has held visiting professor positions at the Freiburg Institute for Advanced Studies as well as at the Institute for Microsystems Engineering at the University of Freiburg (both in 2014) and various shorter academic visiting
appointments, e.g., at UC Berkeley during Winter 2017 and Imperial College London during Summer 2018.
Dr. Houska has been recipient of awards including ICCOPT Best Paper Prize for a Young Researcher in Continuous Optimization (Finalist, Top 3), a Marie-Curie Fellowship for the project Next Generation Algorithms for Robust and Global Optimization of Dynamic Systems, as well as an ShanghaiTech Excellent Professor Award from ShanghaiTech University. His paper on ACADO Toolkit---An open source framework for automatic control and dynamic optimization has been listed as highly cited paper by Web of Science.
1.Hu, H., Feng, X., Quirynen, R., Villanueva, M. E., and Houska, B. (2018, June). Real-Time Tube MPC Applied to a 10-State Quadrotor Model. In 2018 Annual American Control Conference (ACC) (pp. 3135-3140). IEEE.
2.Engelmann, A., Mühlpfordt, T., Jiang, Y., Houska, B., and Faulwasser, T. (2018). Distributed Stochastic AC Optimal Power Flow based on Polynomial Chaos Expansion. In American Control Conference (ACC).
3.Engelmann, Alexander,Jiang, Yuning,Muehlpfordt, Tillmann,Houska, Boris,and Faulwasser, Timm.(2019).Toward Distributed OPF Using ALADIN.IEEE TRANSACTIONS ON POWER SYSTEMS,34(1),584-594.
4.B. Houska, B. Chachuat. Global optimization in Hilbert space. Mathematical Programming, Series A, 2018. (accepted)
5.X. Feng, B. Houska. Real-time algorithm for self-reflective model predictive control. Journal of Process Control, 2018. (accepted)
6.B. Houska, J. Frasch, M. Diehl. An Augmented Lagrangian Based Algorithm for Distributed Non-Convex Optimization. SIAM Journal on Optimization, 2016.
7.B. Houska, M.E. Villanueva, B. Chachuat. Stable Set-Valued Integration of Nonlinear Dynamic Systems using Affine Set Parameterizations. SIAM Journal on Numerical Analysis, 2015.
8.B. Houska. Enforcing Asymptotic Orbital Stability of Economic Model Predictive Control. Automatica, 2015.
9.B. Houska, D. Telen, F. Logist, M. Diehl, J. Van Impe. An Economic Objective for Optimal Experiment Design of Nonlinear Dynamic Processes. Automatica, 2015.
10.B. Houska, B. Chachuat. Branch-and-Lift Algorithm for Deterministic Global Optimization in Nonlinear Optimal Control. Journal of Optimization Theory and Applications, 2014.