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Numerical control : Part A Volume 23/

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : North Holland is an imprint of Elsevier 2020.
Colección:Handbook of numerical analysis ; 23.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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 Tr�oltzsch; 5. Numerical solution of multi-objective optimal control and hierarchic controllability problems; Enrique Fern�andez-Cara; 6. Numerics for stochastic distributed parameter control systems: a finite transposition method; Qi L�u, 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 J�er�ome Loh�eac; 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 Gr�une; 12. Some challenging optimization problems for logistic diffusive equations and their numerical modeling; Idriss Mazari, Gr�egoire 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 Pag�es 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.
  • 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 Gr�une; 12. Some challenging optimization problems for logistic diffusive equations and their numerical modeling; Idriss Mazari, Gr�egoire 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 Pag�es 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