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ICS > Herbert Werner > ATC Seminar

Seminar

This webpage concerns a seminar held by Prof. Werner until Winter 2023/24. Maybe the contents are outdated.


ATC Seminar

Prof. Dr. H. Werner


Hörer: PhD students; students higher semester

Presentation of a current scientific paper to the audience

 

      Date         Presentation by                                                                  Referenz

21.02.2022Ahmed SamirM. 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.
14.02.2022Patrick GöttschCamile Hol, Carsten Scherer, "SUM OF SQUARES RELAXATIONS FOR ROBUST POLYNOMIAL SEMI-DEFINITE PROGRAMS," IFAC Proceedings Volumes, Volume 38, Issue 1, 2005, Pages 451-456.
24.01.2022Antje DittmerF. Lu, P. G. Mehta, S. P. Meyn, and G. Neu, "Convex Q-Learning," 2021 American Control Conference (ACC), 2021, pp. 4749-4756.
06.12.2021Christian HespeW.P. Heath and A.G. Wills. The inherent robustness of constrained linear model predictive control. In 16th IFAC World Congress, Prague, 2005.
29.11.2021Mohammadhossein SalehiankiaWestenbroek, 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.
22.11.2021Lennart Heeren     Baár, T., Bauer, P., & Luspay, T. (2020). Parameter Varying Model Decoupling for LPV systems. IFAC-PapersOnLine, 53(2), 1219-1224.
15.11.2021Bindu SharanHara, K., & Inoue, M. (2021). Gain-Preserving Data-Driven Approximation of the Koopman Operator and Its Application in Robust Controller Design. Mathematics, 9(9), 949.
08.11.2021Prima AdityaReddy, 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.
01.11.2021Horacio MartinezMamakoukas, G., Abraham, I., & Murphey, T. D. (2020). Learning Stable Models for Prediction and Control. IEEE Trans Robot.
25.10.2021Shuyuan FanFujimoto, 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.
18.10.2021Adwait DatarPauli, 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.
07.06.2021Philipp HastedtHuang, 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.
31.05.2021Christian HespeFioravanti, 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.
17.05.2021Adwait DatarOlfati-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.
03.05.2021Lennart HeerenVeenman, J., Scherer, C. W., & Köroğlu, H. (2016). Robust stability and performance analysis based on integral quadratic constraints. European Journal of Control, 31, 1-32.
26.04.2021Hamideh SaadabadiFujun, H., Lei, G., & Hongyong, Y. (2016). Sampling control on collaborative flocking motion of discrete-time system with time-delays. Neurocomputing, 216, 242-249.
19.04.2021Simon HeinkeJensen, 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.
12.04.2021Prima AdityaMu, 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.
08.02.2021Antje DittmerAndersson, 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.
01.02.2021Simon HeinkeFurieri, 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.
25.01.2021Jannik HoltorfUngurán, 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.
11.01.2021Philipp HastedtZhang, 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.
04.01.2021Bindu SharanMarx, B., Ichalal, D., Ragot, J., Maquin, D., & Mammar, S. (2019). Unknown input observer for LPV systems. Automatica, 100, 67-74.
07.12.2020Adwait DatarCortés, J., & Egerstedt, M. (2017). Coordinated control of multi-robot systems: A survey. SICE Journal of Control, Measurement, and System Integration, 10(6), 495-503.
30.11.2020Christian HespeZanelli, 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.
23.11.2020Hamideh SaadabadiTrimpe, S. (2014, December). Stability analysis of distributed event-based state estimation. In 53rd IEEE Conference on Decision and Control (pp. 2013-2019). IEEE.
16.11.2020Prima AdityaLin, W., Li, C., Qu, Z., & Simaan, M. A. (2019). Distributed formation control with open-loop Nash strategy. Automatica, 106, 266-273.
09.11.2020Lennart HeerenYoo, 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.
02.11.2020Patrick GöttschSaveriano, 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.
27.07.2020Horacio Martínez CalderónIgarashi, 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.
06.07.2020Bindu SharanFolkestad, 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.
29.06.2020Christian HespeStella, 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.
22.06.2020Lennart HeerenKoelewijn, P. J. W., & Tóth, R. (2020). Scheduling Dimension Reduction of LPV Models--A Deep Neural Network Approach. arXiv preprint arXiv:2005.06786.
08.06.2020Prima AdityaJank, 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.
25.05.2020Hamideh SaadabadiAmini, 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.
18.05.2020Simon HeinckeAnderson, 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.
11.05.2020Antje DittmerMeindl, M., Molinari, F., Raisch, J., & Seel, T. (2020). Overcoming Output Constraints in Iterative Learning Control Systems by Reference Adaptation. arXiv preprint arXiv:2002.00662.
04.05.2020Adwait DatarBerberich, J., Romer, A., Scherer, C. W., & Allgöwer, F. (2019). Robust data-driven state-feedback design. arXiv preprint arXiv:1909.04314.
09.03.2020Lennart HeerenRizvi, 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.
02.03.2020Lennart HeerenSchouten, S., Lou, D., & Weiland, S. (2019). Model reduction for linear parameter-varying systems through parameter projection. arXiv preprint arXiv:1912.07391
17.02.2020Ann-Katrhin SchugBamieh, B. (2018). Discovering the Fourier Transform: A Tutorial on Circulant Matrices, Circular Convolution, and the DFT. arXiv preprint arXiv:1805.05533
10.02.2020Abdallah AltalmasCisneros, 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.
03.02.2020Simon HeinkeRotkowitz, M., & Lall, S. (2005). A characterization of convex problems in decentralized control. IEEE transactions on Automatic Control, 50(12), 1984-1996.
20.01.2020Ann-Katrhin SchugBamieh, B. (2018). Discovering the Fourier Transform: A Tutorial on Circulant Matrices, Circular Convolution, and the DFT. arXiv preprint arXiv:1805.05533
13.01.2020Patrick GöttschRosenfeld, 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.
06.01.2020Aly AttallahPéni, T., & Bokor, J. (2005). Formation stabilization of nonlinear vehicles based on dynamic inversion and passivity. IFAC Proceedings Volumes, 38(1), 79-84.
16.12.2019Hamideh SaadabadiYan, 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.
02.12.2019Hamideh SaadabadiDonkers, 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.
25.11.2019Patrick GöttschHaseli, 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.
28.10.2019Adwait DatarKorda, M., & Mezić, I. (2018). Linear predictors for nonlinear dynamical systems: Koopman operator meets model predictive control. Automatica, 93, 149-160.
21.10.2019Adwait DatarMason, R. P., & Papachristodoulou, A. (2014, June). Chordal sparsity, decomposing SDPs and the Lyapunov equation. In 2014 American Control Conference (pp. 531-537). IEEE.
29.07.2019Lennart HeerenLuspay, 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.
22.07.2019Adwait DatarBrunton, S. L., Proctor, J. L., & Kutz, J. N. (2016). Sparse identification of nonlinear dynamics with control (SINDYc). IFAC-PapersOnLine, 49(18), 710-715.
15.07.2019Ann-Kathrin SchugRice, 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.
01.07.2019Hamideh SaadabadiCheng, 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.
24.06.2019Mohammadhossein SalehiankiaRizvi, 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.
17.06.2019Furugh MiraliCao, 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.
03.06.2019Pablo GonzalezOptimization I: Sequential Quadratic Programming, Lecture Notes from Ronald W. Hoppe, University of Houston, Fall 2006
20.05.2019Aly AttallahPfifer, 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
13.05.2019Simon HeinkeKucuksayacigil, 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
29.04.2019Ann-Kathrin Schugvan 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
11.03.2019Hamideh SaadabadiGolabi, 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
04.03.2019Pablo GonzalezKoelewijn, P., Tóth, R., & Sales Mazzoccante, G.;  (2019, January). Nonlinear Tracking and Rejection using Linear Parameter-Varying Control. Under review. IEEE
25.02.2019Furugh MiraliAcciani, 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
18.02.2019Christine KloockZeilinger, 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
28.01.2019Ahmad HamzaSalvador, 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
21.01.2019Nicolas DuczekSukvichai, 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
07.01.2019Mirco WoidelkoKhansari-Zadeh, S. M., & Billard, A. (2012). A dynamical system approach to realtime obstacle avoidance. Autonomous Robots, 32(4), 433-454.
10.12.2018Aly Attallah

Zhao, S. (2018). Affine formation maneuver control of multi-agent systems. IEEE Transactions on Automatic Control.

19.11.2018Adwait Datar
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  • Witsenhausen, H. S. (1968). A counterexample in stochastic optimum control. SIAM Journal on Control, 6(1), 131-147.
  • Gupta, V. (2006). Introduction to Distributed Control. Lecture Notes
12.11.2018Furugh MiraliChen, 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.
29.10.2018Patrick GöttschAbraham, I., De La Torre, G., & Murphey, T. D. (2017). Model-Based Control Using Koopman Operators. arXiv preprint arXiv:1709.01568
22.10.2018Pablo GonzalesDiehl, 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
03.09.2018Patrick GöttschBlocher, 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).
23.07.2018Ann-Kathrin SchugAnnoni, 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
16.07.2018Avi TurgemanBurohman, Azka Muji, Augie Widyotriatmo, and Endra Joelianto. "Flocking for nonholonomic robots with obstacle avoidance." Electronics Symposium (IES), 2016 International. IEEE, 2016.
14.05.2018Aly AttallahZavlanos, Michael M., Ali Jadbabaie, and George J. Pappas. "Flocking while preserving network connectivity." Decision and Control, 2007 46th IEEE Conference on. IEEE, 2007.
07.05.2018Christine KloockZhan, 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.
30.04.2018Antonio Mendez GonzalezRösinger, 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.
16.04.2018Adwait DatarKim, 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.
22.01.2018Bujamin SeidjPoussot-Vassal, Charles, et al. "Business Jet Large-Scale Model Approximation and Vibration Control." ALCOSP. 2013.
18.12.2017Antonio AlsenPerrin, Nicolas, and Philipp Schlehuber-Caissier. "Fast diffeomorphic matching to learn globally asymptotically stable nonlinear dynamical systems." Systems & Control Letters 96 (2016): 51-59.
04.12.2017Antonio Mendez GonzalezFetzer, 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.
27.11.2017Furugh MiraliEpstein, Michael, et al. "Using hierarchical decomposition to speed up average consensus." International Federation of Automatic Control (IFAC) World Congress, Seoul, Korea, July 2008. 2008.
20.11.2017Ann-Kathrin SchugGugercin, 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.
13.11.2017Patrick GöttschAxelsson, 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.
06.11.2017Pablo GonzalezJonsson, Ulf, and Alexandre Megretski. "The Zames-Falb IQC for systems with integrators." IEEE Transactions on Automatic Control 45.3 (2000): 560-565."
30.10.2017Avi TurgemanLi, Heng, et al. "Flocking control for multi-agent systems with communication optimization." American Control Conference (ACC), 2013. IEEE, 2013.
23.10.2017Christine KloockLehmann, 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.
16.10.2017Adwait DatarMartinez, Sonia, Jorge Cortes, and Francesco Bullo. "Motion coordination with distributed information." IEEE Control Systems 27.4 (2007): 75-88.

 

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