Seminar
ATC Seminar
Prof. Dr. H. Werner
Montag 15:00 - 16:30
1057 (N) ES40
Hörer: PhD students; students higher semester
Presentation of a current scientific paper to the audience
Date Presentation by Referenz
21.02.2022 | Ahmed Samir | M. C. Palframan, K. T. Guthrie and M. Farhood, "An LPV path-following controller for small fixed-wing UAS," 2015 54th IEEE Conference on Decision and Control (CDC), 2015, pp. 97-102, doi: 10.1109/CDC.2015.7402092. |
14.02.2022 | Patrick Göttsch | Camile Hol, Carsten Scherer, "SUM OF SQUARES RELAXATIONS FOR ROBUST POLYNOMIAL SEMI-DEFINITE PROGRAMS," IFAC Proceedings Volumes, Volume 38, Issue 1, 2005, Pages 451-456. |
24.01.2022 | Antje Dittmer | F. Lu, P. G. Mehta, S. P. Meyn, and G. Neu, "Convex Q-Learning," 2021 American Control Conference (ACC), 2021, pp. 4749-4756. |
06.12.2021 | Christian Hespe | W.P. Heath and A.G. Wills. The inherent robustness of constrained linear model predictive control. In 16th IFAC World Congress, Prague, 2005. |
29.11.2021 | Mohammadhossein Salehiankia | Westenbroek, T., Fridovich-Keil, D., Mazumdar, E., Arora, S., Prabhu, V., Sastry, S. S., & Tomlin, C. J. (2019). Feedback linearization for unknown systems via reinforcement learning. arXiv preprint arXiv:1910.13272. |
22.11.2021 | Lennart Heeren | Baár, T., Bauer, P., & Luspay, T. (2020). Parameter Varying Model Decoupling for LPV systems. IFAC-PapersOnLine, 53(2), 1219-1224. |
15.11.2021 | Bindu Sharan | Hara, K., & Inoue, M. (2021). Gain-Preserving Data-Driven Approximation of the Koopman Operator and Its Application in Robust Controller Design. Mathematics, 9(9), 949. |
08.11.2021 | Prima Aditya | Reddy, P. V., & Zaccour, G. (2015). Open-loop Nash equilibria in a class of linear-quadratic difference games with constraints. IEEE Transactions on Automatic Control, 60(9), 2559-2564. |
01.11.2021 | Horacio Martinez | Mamakoukas, G., Abraham, I., & Murphey, T. D. (2020). Learning Stable Models for Prediction and Control. IEEE Trans Robot. |
25.10.2021 | Shuyuan Fan | Fujimoto, S., Hoof, H., & Meger, D. (2018, July). Addressing function approximation error in actor-critic methods. In International Conference on Machine Learning (pp. 1587-1596). PMLR. |
18.10.2021 | Adwait Datar | Pauli, P., Gramlich, D., Berberich, J., & Allgöwer, F. (2021). Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers. arXiv preprint arXiv:2103.17106. |
07.06.2021 | Philipp Hastedt | Huang, D., Yuan, Q., & Li, X. (2019, July). Decentralized flocking of multi-agent system based on MPC with obstacle/collision avoidance. In 2019 Chinese Control Conference (CCC) (pp. 5587-5592). IEEE. |
31.05.2021 | Christian Hespe | Fioravanti, A. R., Gonçalves, A. P., Deaecto, G. S., & Geromel, J. C. (2012, December). Equivalent LMI constraints: Applications to discrete-time MJLS and switched systems. In 2012 IEEE 51st IEEE Conference on Decision and Control (CDC) (pp. 1313-1318). IEEE. |
17.05.2021 | Adwait Datar | Olfati-Saber, R. (2009, December). Kalman-consensus filter: Optimality, stability, and performance. In Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference (pp. 7036-7042). IEEE. |
03.05.2021 | Lennart Heeren | Veenman, J., Scherer, C. W., & Köroğlu, H. (2016). Robust stability and performance analysis based on integral quadratic constraints. European Journal of Control, 31, 1-32. |
26.04.2021 | Hamideh Saadabadi | Fujun, H., Lei, G., & Hongyong, Y. (2016). Sampling control on collaborative flocking motion of discrete-time system with time-delays. Neurocomputing, 216, 242-249. |
19.04.2021 | Simon Heinke | Jensen, E., & Bamieh, B. (2020, July). On the gap between system level synthesis and structured controller design: the case of relative feedback. In 2020 American Control Conference (ACC) (pp. 4594-4599). IEEE. |
12.04.2021 | Prima Aditya | Mu, C., Zhao, Q., Gao, Z., & Sun, C. (2019). Q-learning solution for optimal consensus control of discrete-time multiagent systems using reinforcement learning. Journal of the Franklin Institute, 356(13), 6946-6967. |
08.02.2021 | Antje Dittmer | Andersson, L. E., Bradford, E. C., & Imsland, L. (2020, July). Distributed learning for wind farm optimization with Gaussian processes. In 2020 American Control Conference (ACC) (pp. 4058-4064). IEEE. |
01.02.2021 | Simon Heinke | Furieri, L., & Kamgarpour, M. (2020, July). First order methods for globally optimal distributed controllers beyond quadratic invariance. In 2020 American Control Conference (ACC) (pp. 4588-4593). IEEE. |
25.01.2021 | Jannik Holtorf | Ungurán, R., Petrović, V., Pao, L. Y., & Kühn, M. (2019, July). Smart rotor control of wind turbines under actuator limitations. In 2019 American Control Conference (ACC) (pp. 3474-3481). IEEE. |
11.01.2021 | Philipp Hastedt | Zhang, H. T., Cheng, Z., Chen, G., & Li, C. (2015). Model predictive flocking control for second-order multi-agent systems with input constraints. IEEE Transactions on Circuits and Systems I: Regular Papers, 62(6), 1599-1606. |
04.01.2021 | Bindu Sharan | Marx, B., Ichalal, D., Ragot, J., Maquin, D., & Mammar, S. (2019). Unknown input observer for LPV systems. Automatica, 100, 67-74. |
07.12.2020 | Adwait Datar | Cortés, J., & Egerstedt, M. (2017). Coordinated control of multi-robot systems: A survey. SICE Journal of Control, Measurement, and System Integration, 10(6), 495-503. |
30.11.2020 | Christian Hespe | Zanelli, A., Tran-Dinh, Q., & Diehl, M. (2019, December). Contraction estimates for abstract real-time algorithms for nmpc. In 2019 IEEE 58th Conference on Decision and Control (CDC) (pp. 8085-8092). IEEE. |
23.11.2020 | Hamideh Saadabadi | Trimpe, S. (2014, December). Stability analysis of distributed event-based state estimation. In 53rd IEEE Conference on Decision and Control (pp. 2013-2019). IEEE. |
16.11.2020 | Prima Aditya | Lin, W., Li, C., Qu, Z., & Simaan, M. A. (2019). Distributed formation control with open-loop Nash strategy. Automatica, 106, 266-273. |
09.11.2020 | Lennart Heeren | Yoo, S. H., & Choi, B. J. (2005, August). A balanced model reduction for TS fuzzy systems with integral quadratic constraints. In International Conference on Fuzzy Systems and Knowledge Discovery (pp. 802-811). Springer, Berlin, Heidelberg. |
02.11.2020 | Patrick Göttsch | Saveriano, M., & Lee, D. (2018, October). Incremental skill learning of stable dynamical systems. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 6574-6581). IEEE. |
27.07.2020 | Horacio Martínez Calderón | Igarashi, Y., Yamakita, M., Ng, J., & Asada, H. H. (2020, July). MPC Performances for Nonlinear Systems Using Several Linearization Models. In 2020 American Control Conference (ACC) (pp. 2426-2431). IEEE. |
06.07.2020 | Bindu Sharan | Folkestad, C., Pastor, D., Mezic, I., Mohr, R., Fonoberova, M., & Burdick, J. (2019). Extended dynamic mode decomposition with learned koopman eigenfunctions for prediction and control. arXiv preprint arXiv:1911.08751. |
29.06.2020 | Christian Hespe | Stella, L., Themelis, A., Sopasakis, P., & Patrinos, P. (2017, December). A simple and efficient algorithm for nonlinear model predictive control. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC) (pp. 1939-1944). IEEE. |
22.06.2020 | Lennart Heeren | Koelewijn, P. J. W., & Tóth, R. (2020). Scheduling Dimension Reduction of LPV Models--A Deep Neural Network Approach. arXiv preprint arXiv:2005.06786. |
08.06.2020 | Prima Aditya | Jank, G., & Abou-Kandil, H. (2003). Existence and uniqueness of open-loop Nash equilibria in linear-quadratic discrete time games. IEEE Transactions on Automatic Control, 48(2), 267-271. |
25.05.2020 | Hamideh Saadabadi | Amini, A., Mohammadi, A., & Asif, A. (2017, March). Event-based consensus for a class of heterogeneous multi-agent systems: An lmi approach. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 3306-3310). IEEE. |
18.05.2020 | Simon Heincke | Anderson, J., & Matni, N. (2017, October). Structured state space realizations for sls distributed controllers. In 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton) (pp. 982-987). IEEE. |
11.05.2020 | Antje Dittmer | Meindl, M., Molinari, F., Raisch, J., & Seel, T. (2020). Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation. arXiv preprint arXiv:2002.00662. |
04.05.2020 | Adwait Datar | Berberich, J., Romer, A., Scherer, C. W., & Allgöwer, F. (2019). Robust data-driven state-feedback design. arXiv preprint arXiv:1909.04314. |
09.03.2020 | Lennart Heeren | Rizvi, S. Z., Mohammadpour, J., Tóth, R., & Meskin, N. (2016). A kernel-based PCA approach to model reduction of linear parameter-varying systems. IEEE Transactions on Control Systems Technology, 24(5), 1883-1891. |
02.03.2020 | Lennart Heeren | Schouten, S., Lou, D., & Weiland, S. (2019). Model reduction for linear parameter-varying systems through parameter projection. arXiv preprint arXiv:1912.07391 |
17.02.2020 | Ann-Katrhin Schug | Bamieh, B. (2018). Discovering the Fourier Transform: A Tutorial on Circulant Matrices, Circular Convolution, and the DFT. arXiv preprint arXiv:1805.05533 |
10.02.2020 | Abdallah Altalmas | Cisneros, P. S., Hoffmann, C., Bartels, M., & Werner, H. (2016, July). Linear parameter-varying controller design for a nonlinear quad-rotor helicopter model for high speed trajectory tracking. In 2016 American Control Conference (ACC) (pp. 486-491). IEEE. |
03.02.2020 | Simon Heinke | Rotkowitz, M., & Lall, S. (2005). A characterization of convex problems in decentralized control. IEEE transactions on Automatic Control, 50(12), 1984-1996. |
20.01.2020 | Ann-Katrhin Schug | Bamieh, B. (2018). Discovering the Fourier Transform: A Tutorial on Circulant Matrices, Circular Convolution, and the DFT. arXiv preprint arXiv:1805.05533 |
13.01.2020 | Patrick Göttsch | Rosenfeld, J. A., Russo, B., Kamalapurkar, R., & Johnson, T. T. (2019). The Occupation Kernel Method for Nonlinear System Identification. In 2019 IEEE Conference on Decision and Control (CDC). IEEE. |
06.01.2020 | Aly Attallah | Péni, T., & Bokor, J. (2005). Formation stabilization of nonlinear vehicles based on dynamic inversion and passivity. IFAC Proceedings Volumes, 38(1), 79-84. |
16.12.2019 | Hamideh Saadabadi | Yan, S., Zhang, G., Li, T., Shen, M., & Li, L. (2018). $$ H_ {\infty} $$ Static Output Control of Discrete-Time Networked Control Systems with an Event-Triggered Scheme. Circuits, Systems, and Signal Processing, 37(2), 553-568. |
02.12.2019 | Hamideh Saadabadi | Donkers, M. C. F., & Heemels, W. P. M. H. (2010, December). Output-based event-triggered control with guaranteed ℒ∞-gain and improved event-triggering. In 49th IEEE Conference on Decision and Control (CDC) (pp. 3246-3251). IEEE. |
25.11.2019 | Patrick Göttsch | Haseli, M., & Cortés, J. (2019, July). Approximating the Koopman operator using noisy data: noise-resilient extended dynamic mode decomposition. In 2019 American Control Conference (ACC) (pp. 5499-5504). IEEE. |
28.10.2019 | Adwait Datar | Korda, M., & Mezić, I. (2018). Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control. Automatica, 93, 149-160. |
21.10.2019 | Adwait Datar | Mason, R. P., & Papachristodoulou, A. (2014, June). Chordal sparsity, decomposing SDPs and the Lyapunov equation. In 2014 American Control Conference (pp. 531-537). IEEE. |
29.07.2019 | Lennart Heeren | Luspay, T., Péni, T., Seiler, P., & Vanek, B. (2018, December). A Model Decomposition Framework for LPV Systems. In 2018 IEEE Conference on Decision and Control (CDC) (pp. 5898-5903). IEEE. |
22.07.2019 | Adwait Datar | Brunton, S. L., Proctor, J. L., & Kutz, J. N. (2016). Sparse identification of nonlinear dynamics with control (SINDYc). IFAC-PapersOnLine, 49(18), 710-715. |
15.07.2019 | Ann-Kathrin Schug | Rice, J. K., & Verhaegen, M. (2008, December). Distributed control: A sequentially semi-separable approach. In 2008 47th IEEE Conference on Decision and Control (pp. 2913-2919). IEEE. |
01.07.2019 | Hamideh Saadabadi | Cheng, T. H., Kan, Z., Klotz, J. R., Shea, J. M., & Dixon, W. E. (2017). Event-triggered control of multiagent systems for fixed and time-varying network topologies. IEEE Transactions on Automatic Control, 62(10), 5365-5371. |
24.06.2019 | Mohammadhossein Salehiankia | Rizvi, S. A. A., & Lin, Z. (2018, June). Output Feedback Reinforcement Learning Control for the Continuous-Time Linear Quadratic Regulator Problem. In 2018 Annual American Control Conference (ACC) (pp. 3417-3422). IEEE. |
17.06.2019 | Furugh Mirali | Cao, Y., Oguchi, T., Verhoeckx, P. B., & Nijmeijer, H. (2015, September). Predictor-based consensus control of a multi-agent system with time-delays. In 2015 IEEE Conference on Control Applications (CCA) (pp. 113-118). IEEE. |
03.06.2019 | Pablo Gonzalez | Optimization I: Sequential Quadratic Programming, Lecture Notes from Ronald W. Hoppe, University of Houston, Fall 2006 |
20.05.2019 | Aly Attallah | Pfifer, H., & Seiler, P. (2015). Robustness analysis of linear parameter varying systems using integral quadratic constraints. International Journal of Robust and Nonlinear Control, 25(15), 2843-2864 |
13.05.2019 | Simon Heinke | Kucuksayacigil, G., & Elia, N. (2017, May). A distributed design of ℋ 2 suboptimal distributed controllers for networked systems. In 2017 American Control Conference (ACC) (pp. 4686-4691). IEEE |
29.04.2019 | Ann-Kathrin Schug | van Horssen, E. P., & Weiland, S. (2016). Synthesis of distributed robust H-infinity controllers for interconnected discrete time systems. IEEE Transactions on Control of Network Systems, 3(3), 286-295 |
11.03.2019 | Hamideh Saadabadi | Golabi, A., Meskin, N., Tóth, R., Mohammadpour, J., & Donkers, T. (2016, July). Event-triggered control for discrete-time linear parameter-varying systems. In 2016 American Control Conference (ACC) (pp. 3680-3685). IEEE |
04.03.2019 | Pablo Gonzalez | Koelewijn, P., Tóth, R., & Sales Mazzoccante, G.; (2019, January). Nonlinear Tracking and Rejection using Linear Parameter-Varying Control. Under review. IEEE |
25.02.2019 | Furugh Mirali | Acciani, F., Frasca, P., Heijenk, G., & Stoorvogel, A. (2017, December). Using a linear gain to accelerate average consensus over unreliable networks. In 2017 IEEE 56th Annual Conference on Decision and Control (CDC) (pp. 3569-3574). IEEE |
18.02.2019 | Christine Kloock | Zeilinger, M. N., Morari, M., & Jones, C. N. (2014). Soft constrained model predictive control with robust stability guarantees. IEEE Transactions on Automatic Control, 59(5), 1190-1202 |
28.01.2019 | Ahmad Hamza | Salvador, J. R., de la Peña, D. M., Alamo, T., & Bemporad, A. (2018). Data-based predictive control via direct weight optimization. IFAC-PapersOnLine, 51(20), 356-361 |
21.01.2019 | Nicolas Duczek | Sukvichai, K. (2016, January). Design of a fuzzy logic adaptive optimal robust controller for a ball-riding robot. In Electronics, Information, and Communications (ICEIC), 2016 International Conference on (pp. 1-4). IEEE |
07.01.2019 | Mirco Woidelko | Khansari-Zadeh, S. M., & Billard, A. (2012). A dynamical system approach to realtime obstacle avoidance. Autonomous Robots, 32(4), 433-454. |
10.12.2018 | Aly Attallah | Zhao, S. (2018). Affine formation maneuver control of multi-agent systems. IEEE Transactions on Automatic Control. |
19.11.2018 | Adwait Datar |
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12.11.2018 | Furugh Mirali | Chen, Y., Tron, R., Terzis, A., & Vidal, R. (2011, June). Accelerated corrective consensus: Converge to the exact average at a faster rate. In American Control Conference (ACC), 2011 (pp. 3417-3422). IEEE. |
29.10.2018 | Patrick Göttsch | Abraham, I., De La Torre, G., & Murphey, T. D. (2017). Model-Based Control Using Koopman Operators. arXiv preprint arXiv:1709.01568 |
22.10.2018 | Pablo Gonzales | Diehl, M., Bock, H. G., & Schlöder, J. P. (2005). A real-time iteration scheme for nonlinear optimization in optimal feedback control. SIAM Journal on control and optimization, 43(5), 1714-1736 |
03.09.2018 | Patrick Göttsch | Blocher, C., Saveriano, M., & Lee, D. (2017). Learning stable dynamical systems using contraction theory. In Proceedings of the International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2017). |
23.07.2018 | Ann-Kathrin Schug | Annoni, Jennifer, Bay, Christopher, Taylor Timothy, Pao, Lucy, Fleming, Paul, Johnson, Kathryn. "Efficient Optimization of Large Wind Farms for Real-Time Control." 2018 American Control Conference (ACC), 2018 |
16.07.2018 | Avi Turgeman | Burohman, Azka Muji, Augie Widyotriatmo, and Endra Joelianto. "Flocking for nonholonomic robots with obstacle avoidance." Electronics Symposium (IES), 2016 International. IEEE, 2016. |
14.05.2018 | Aly Attallah | Zavlanos, Michael M., Ali Jadbabaie, and George J. Pappas. "Flocking while preserving network connectivity." Decision and Control, 2007 46th IEEE Conference on. IEEE, 2007. |
07.05.2018 | Christine Kloock | Zhan, Jingyuan, and Xiang Li. "Flocking of multi-agent systems via model predictive control based on position-only measurements." IEEE Transactions on Industrial Informatics 9.1 (2013): 377-385. |
30.04.2018 | Antonio Mendez Gonzalez | Rösinger, Christian A., and Carsten W. Scherer. "Structured controller design with applications to networked systems." Decision and Control (CDC), 2017 IEEE 56th Annual Conference on. IEEE, 2017. |
16.04.2018 | Adwait Datar | Kim, Yoonsoo, and Mehran Mesbahi. "On maximizing the second smallest eigenvalue of a state-dependent graph Laplacian." American Control Conference, 2005. Proceedings of the 2005. IEEE, 2005. |
22.01.2018 | Bujamin Seidj | Poussot-Vassal, Charles, et al. "Business Jet Large-Scale Model Approximation and Vibration Control." ALCOSP. 2013. |
18.12.2017 | Antonio Alsen | Perrin, Nicolas, and Philipp Schlehuber-Caissier. "Fast diffeomorphic matching to learn globally asymptotically stable nonlinear dynamical systems." Systems & Control Letters 96 (2016): 51-59. |
04.12.2017 | Antonio Mendez Gonzalez | Fetzer, Matthias, and Carsten W. Scherer. "Full‐block multipliers for repeated, slope‐restricted scalar nonlinearities." International Journal of Robust and Nonlinear Control 27.17 (2017): 3376-3411. |
27.11.2017 | Furugh Mirali | Epstein, Michael, et al. "Using hierarchical decomposition to speed up average consensus." International Federation of Automatic Control (IFAC) World Congress, Seoul, Korea, July 2008. 2008. |
20.11.2017 | Ann-Kathrin Schug | Gugercin, Serkan. "An iterative SVD-Krylov based method for model reduction of large-scale dynamical systems." Linear Algebra and its Applications 428.8-9 (2008): 1964-1986. |
13.11.2017 | Patrick Göttsch | Axelsson, Magdalena, Fredrik Magnusson, and Toivo Henningsson. "A framework for nonlinear model predictive control in jmodelica. org." Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015. No. 118. Linköping University Electronic Press, 2015. |
06.11.2017 | Pablo Gonzalez | Jonsson, Ulf, and Alexandre Megretski. "The Zames-Falb IQC for systems with integrators." IEEE Transactions on Automatic Control 45.3 (2000): 560-565." |
30.10.2017 | Avi Turgeman | Li, Heng, et al. "Flocking control for multi-agent systems with communication optimization." American Control Conference (ACC), 2013. IEEE, 2013. |
23.10.2017 | Christine Kloock | Lehmann, Daniel, Erik Henriksson, and Karl H. Johansson. "Event-triggered model predictive control of discrete-time linear systems subject to disturbances." Control Conference (ECC), 2013 European. IEEE, 2013. |
16.10.2017 | Adwait Datar | Martinez, Sonia, Jorge Cortes, and Francesco Bullo. "Motion coordination with distributed information." IEEE Control Systems 27.4 (2007): 75-88. |