Numerical Control: Part A: Volume 23

Informationen zum Autor Emmanuel Trelat works at Sorbonne Universite in Laboratoire Jacques-Louis Lions, CNRS, Inria, equipe CAGE, Paris, France. Enrique Zuazua works in the Department of Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen in Germany.

Autorentext
Emmanuel Trelat works at Sorbonne Universite in Laboratoire Jacques-Louis Lions, CNRS, Inria, equipe CAGE, Paris, France.Enrique Zuazua works in the Department of Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen in Germany.

Inhalt

1. Control and numerical approximation of fractional diffusion equations
   Umberto Biccari, Mahamadi Warma, and Enrique Zuazua
2. Modeling, control, and numerics of gas networks
   Martin Gugat and Michael Herty
3. Optimal control, numerics, and applications of fractional PDEs
   Harbir Antil, Thomas Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, and Mahamadi Warma
4. Optimal control of PDEs and FE-approximation
   Eduardo Casas, Karl Kunisch, and Fredi Tröltzsch
5. Numerical solution of multi-objective optimal control and hierarchic controllability problems
   Enrique Fernández-Cara
6. Numerics for stochastic distributed parameter control systems: a finite transposition method
   Qi Lü, Penghui Wang, Yanqing Wang, and Xu Zhang
7. Numerical solutions of stochastic control problems: Markov chain approximation methods
   Zhuo Jin, Ky Tran, and George Yin
8. Control of parameter dependent systems
   Martin Lazar and Jérôme Lohéac
9. Space-time POD-Galerkin approach for parametric flow control
   Francesco Ballarin, Gianluigi Rozza, and Maria Strazzullo
10. Moments and convex optimization for analysis and control of nonlinear PDEs
    Milan Korda, Didier Henrion, and Jean Bernard Lasserre
11. Turnpike properties in optimal control
    Timm Faulwasser and Lars Grüne
12. Some challenging optimization problems for logistic diffusive equations and their numerical modeling
    Idriss Mazari, Grégoire Nadin, and Yannick Privat
13. Gradient flows and nonlinear power methods for the computation of nonlinear eigenfunctions
    Leon Bungert and Martin Burger
14. Dynamic Programming versus supervised learning
    Gilles Pagès and Olivier Pironneau
15. Data-driven modeling and control of large-scaledynamical systems in the Loewner framework
    Ion Victor Gosea, Charles Poussot-Vassal, and Athanasios C. Antoulas
16. Machine learning and control theory
    Alain Bensoussan, Yiqun Li, Dinh Phan Cao Nguyen, Minh-Binh Tran, Sheung Chi Phillip Yam, and Xiang Zhou