Christian Ebenbauer

[1] H.W. Knobloch, C. Ebenbauer, and F. Allgower. A framework for disturbance attenuation with discontinuous control. In 15th IFAC World Congress, Barcelona, Spain, 2002. CDROM.

[2] C. Ebenbauer and F. Allgower. Minimum-phase property of nonlinear systems in terms of a dissipation inequality. In Proc.ofthe American Control Conference (ACC), Boston, USA, pages 1737–1742, 2004.

[3] C.Ebenbauer,T.Raff, and F. Allgower. Passivity-based feedback design for polynomial control systems. Automatisierungstechnik (at), 53:356–366, 2005.

[4] C.Ebenbauer,T.Raff, and F. Allgower. A simple separation result for control aﬃne systems. In Proc. of the 16th IFAC World Congress, Prague, Czech Republic, 2005. Paper No. 04357.

[5] C. Ebenbauer and F. Allgower. Stability and robustness analysis of Boolean diff;erence equations. In Institute for Systems Theory and Automatic Control -Internal Reports, 2005. Available from www.ist.unistuttgart.de/reports.

[6] C. Ebenbauer. Polynomial Control Systems: Analysis and Design via Dissipation Inequalities and Sum of Squares. PhD thesis, University of Stuttgart, 2005.

[7] C. Ebenbauer and F. Allgower. A dissipation inequality for the minimum phase property of nonlinear control systems. In L. Marconi, C. Bonivento, and A. Isidori, editors, Advances in Control Theory and Applications,volume 353, pages 71–83. Springer Lecture Notes in Control and Information Sciences, Springer Verlag, 2007.

[8] C. Ebenbauer and F. Allgower. Stability analysis of constrained control systems: An alternative approach. Systems and Control Letters, 56(2):93– 98, 2007, pdf.

[9] C. Ebenbauer, T. Raff, and F. Allgower. Certainty-equivalence feedback design with polynomial-type feedbacks which guarantee ISS. IEEE Transactions on Automatic Control, 52:716–720, April 2007, pdf.

[10] C. Ebenbauer and F. Allgower. A dissipation inequality for the minimum phase property. IEEE Transactions on Automatic Control, Volume 53, Issue 3, April 2008, pdf.

[11] P. Wieland, C. Ebenbauer, and F. Allgower. Ensuring task-independent safety for multi-agent systems by feedback. In Proc. of the American Control Conference (ACC), New York, USA, pages 3880–3885, 2007.

[12] C. Ebenbauer. Detecting oscillatory behavior using Lyapunov functions. In Proc. of the 46th IEEE Conference on Decision and Control (CDC), New Orleans, USA, pages 1615-1620, 2007.

[13] C. Ebenbauer. A dynamical system that computes eigenvalues and diagonalizes matrices with a real spectrum. In Proc. of the 46th IEEE Conference on Decision and Control (CDC), New Orleans, USA, pages 1704-1709, 2007, pdf.

[14] C. Ebenbauer, T. Raff, and F. Allgower. Dissipation inequalities in systems theory: An introduction and recent results. In R. Jeltsch and G. Wanner, editors, Invited Lectures of the International Congress on Industrial and Applied Mathematics 2007. European Mathematical Society Publishing House, pages 23-42, 2009, pdf.

[15] M. Burger, T. Raff, C. Ebenbauer, and F. Allgower. Extensions on a certainty-equivalence feedback design with a class of feedbacks which guarantee ISS. In Proc. of the American Control Conference (ACC), Seattle, USA, pages 383-388, 2008.

[16] C. Ebenbauer and A. Arsie. On an eigenflow equation and its Lie algebraic generalization. Communications in Information and Systems, 2008, Vol. 8 (2), pages 147-170, pdf, (Visualization).

[17] A. Arsie and C. Ebenbauer. Refining LaSalle's invariance principle. In Proc. of the American Control Conference (ACC), pages 108-112, St. Louis, USA, 2009.

[18] C. Ebenbauer and A. Arsie. On an eigenflow equation and its structure preserving properties. In Proc. of the 48th IEEE Conference on Decision and Control (CDC), pages 7491-7496, Shanghai, China, 2009.

[19] A. Arsie and C. Ebenbauer. Locating omega-limit sets using height functions. Journal of Differential Equations, Vol. 248, pages 2458-2469, 2010.

[20] G.S. Schmidt, C. Ebenbauer and F. Allgower. Synchronization conditions for Lyapunov oscillators. In Proc. of the 49th IEEE Conference on Decision and Control (CDC), Atlanta, USA, 2010, to appear.

Convex Optimization and Control

[1] T.Raff,C.Ebenbauer, and F. Allgower. Feedback passivation of an electrostatic microactuator: A semideﬁnite programming approach. In Proc. of the Symposium on Nonlinear Control Systems (NOLCOS), Stuttgart, Germany, pages 1181–1186, 2004.

[2] T.Raff,C.Ebenbauer, and F. Allgower. Passivity-based nonlinear dynamic output feedback design: A semideﬁnite programming approach. In Proc. of the 43rd IEEE Conference on Decision and Control (CDC), Paradise Island, Bahamas, pages 5409–5414, 2004.

[3] C. Ebenbauer and F. Allgower. Computer-aided stability analysis of diff;erential-algebraic equations. In Proc. of the Symposium on Nonlinear Control Systems (NOLCOS), Stuttgart, Germany, pages 1025–1029, 2004.

[4] C. Ebenbauer, R. Findeisen, and F. Allgower. Nonlinear high-gain observer design via semideﬁnite programming. In Proc. of the Symposium on System, Structure, and Control (SSSC), Oaxaca, Mexico, pages 751–756, 2004.

[5] C. Ebenbauer, T. Raff, and F. Allgower. A duality-based LPV approach to polynomial state feedback design. In Proc.ofthe American Control Conference (ACC), Portland, USA, pages 703–708, 2005.

[6] C. Ebenbauer, J. Renz, and F. Allgower. Polynomial state feedback and observer design using nonquadratic Lyapunov functions. In Proc.ofthe 44th IEEE Conference on Decision and Control (CDC), Seville, Spain, pages 7587–7592, 2005.

[7] T. Raff, P. Menold, C. Ebenbauer, and F. Allgower. A ﬁnite time functional observer for linear systems. In Proc. of the 44th IEEE Conference on Decision and Control (CDC), Seville, Spain, pages 7198–7203, 2005.

[8] C. Ebenbauer and F. Allgower. Polynomial control systems: Analysis and design via dissipation inequalities. In Proc. of the 7th Chemical Process Control Conference (CPC), Lake Lousie, Canada, 2006. CDROM.

[9] T.Raff, C.Ebenbauer,R.Findeisen, and F. Allgower. Nonlinear model predictive control and sum of squares techniques. In M. Diehl and K. Mombaur, editors, Fast Motions in Biomechanics and Robotics -Optimization and Feedback Control, volume 340. Springer Lecture Notes in Control and Information Sciences, Springer Verlag, 2006.

[10] C. Ebenbauer and F. Allgower. Analysis and design of polynomial control systems using dissipation inequalities and sum of squares. Journal of Computers and Chemical Engineering, 30(11):1601–1614, 2006.

[11] C. Ebenbauer and F. Allgower. Stability analysis for time-delay systems using Rekasius’s substitution and sum of squares. In Proc. of the 45th IEEE Conference on Decision and Control (CDC), San Diego, USA, pages 5376–5381, 2006, pdf.

[12] U. Munz, C. Ebenbauer, and F. Allgower. Stability of networked systems with multiple delays using linear programming. In Proc.of the American Control Conference (ACC), New York, USA, pages 5515–5520, 2007.

[13] U. Munz, C. Ebenbauer, T. Haag, and F. Allgower. Stability analysis of time-delay systems in the frequency domain using positive polynomials. IEEE Transactions on Automatic Control, 2009, Volume 54, Issue 5, May 2009, pages 1019 - 1024.

[14] C. Ebenbauer. Linear matrix inequalities for normalizing matrices. In Proc. of the 19th International Symposium on Mathematical Theory of Networks and Systems (MTNS), Budapest, Hungary, p.1375-1379, 2010, pdf.

Predictive Control

[1] F. Allgower, R. Findeisen, and C. Ebenbauer. Nonlinear model predictive control, 2003. Encyclopedia for Life Support Systems (EOLSS) article contribution 6.43.16.2.

[2] A.Yonchev,R.Findeisen,C.Ebenbauer,and F. Allgower. Model predictive control of linear continuous time singular systems subject to input constraints. In Proc. of the 43rd Conference on Decision and Control (CDC), Paradise Island, Bahamas, pages 2047–2052, 2004.

[3] T. Raff, R. Findeisen, C. Ebenbauer, and F. Allgower. Model predictive control of discrete time polynomial control systems: A convex approach. In Proc. of the Symposium on System, Structure, and Control (SSSC), Oaxaca, Mexico, pages 158–163, 2004.

[4] T. Raff, C. Ebenbauer, R. Findeisen, and F. Allgower. Remarks on moving horizon state estimation with guaranteed convergence. In T. Meurer, K. Graichen, and E.D. Gilles, editors, Control and Observer Design for Nonlinear Finite and Inﬁnite Dimensional Systems, volume 322, pages 67–80. Springer Lecture Notes in Control and Information Sciences, Springer Verlag, 2005.

[5] T.Raff, C.Ebenbauer,and F. Allgower. Nonlinear model predictive control: A passivity-based approach. In Proc. of the International Workshop on Assesment and Future Directions of Nonlinear Model Predictive Control (NMPC05), Freudenstadt-Lauterbad, Germany, 2005. CDROM.

[6] T.Raff, C.Ebenbauer,and F. Allgower. Passivity-based model predictive control. In L. Biegler F. Allgower and R. Findeisen, editors, Assessment and Future Directions of Nonlinear Model Predictive Control, volume 358, pages 151–162. Springer Lecture Notes in Control and Information Sciences, Springer Verlag, 2007.

Nonlinear Systems and Nonlinear Control

Convex Optimization and Control

Predictive Control