Pierre Riedinger
University of Lorraine
71 Papers
313 Citations
Pierre Riedinger is an academic researcher from University of Lorraine. The author has contributed to research in topics: Lyapunov function & Optimal control. The author has an hindex of 18, co-authored 64 publications. Previous affiliations of Pierre Riedinger include Centre national de la recherche scientifique & Nancy-Université.
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Papers
Stability analysis and control synthesis for switched systems: a switched Lyapunov function approach
TL;DR: The approach followed in this paper looks at the existence of a switched quadratic Lyapunov function to check asymptotic stability of the switched system under consideration and shows that the second condition is, in this case, less conservative.
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Comparison of Hybrid Control Techniques for Buck and Boost DC-DC Converters
Sebastien Mariethoz,Stefan Almer,M. Baja,A.G. Beccuti,Diego Patino,A. Wernrud,Jean Buisson,Hervé Cormerais,Tobias Geyer,Hisaya Fujioka,Ulf Jönsson,Chung-Yao Kao,Manfred Morari,Georgios Papafotiou,Anders Rantzer,Pierre Riedinger +15 more
TL;DR: Five recent techniques from hybrid and optimal control are evaluated on two power electronics benchmark problems and show that the proposed methods display high performances, while respecting circuit constraints, thus protecting the semiconductor devices.
228
Linear quadratic optimization for hybrid systems
Pierre Riedinger,Frédéric Kratz,Claude Iung,C. Zanne +3 more
- 07 Dec 1999
TL;DR: In this article, a general optimal hybrid control problem which enables a direct maximum principle approach is presented, and necessary conditions at switching time for controlled and autonomous switching are derived in the case where a linear quadratic criteria is used.
An Optimal Control Approach for Hybrid Systems
TL;DR: The main contribution of this paper shows how necessary conditions can be derived from the maximum principle and the Bellman principle to achieve optimal hybrid control via a set of Hamiltonian systems and using dynamic programming.
102
Switched Affine Systems Using Sampled-Data Controllers: Robust and Guaranteed Stabilization
TL;DR: Three sampled-data controls guarantee practical and global asymptotic stabilization for the whole system trajectories and robust margins with respect to parameters uncertainties and non uniform sampling are provided using input-to-state stability.