Numerical Control: Part A
Elsevier (Publisher)
Published on 15. February 2022
594 pages
978-0-323-85339-2 (ISBN)
Description
Numerical Control: Part A, Volume 23 in the Handbook of Numerical Analysis series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this volume include Numerics for finite-dimensional control systems, Moments and convex optimization for analysis and control of nonlinear PDEs, The turnpike property in optimal control, Structure-Preserving Numerical Schemes for Hamiltonian Dynamics, Optimal Control of PDEs and FE-Approximation, Filtration techniques for the uniform controllability of semi-discrete hyperbolic equations, Numerical controllability properties of fractional partial differential equations, Optimal Control, Numerics, and Applications of Fractional PDEs, and much more.
- Provides the authority and expertise of leading contributors from an international board of authors
- Presents the latest release in the Handbook of Numerical Analysis series
- Updated release includes the latest information on Numerical Control
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Additional editions
Emmanuel Trelat | Enrique Zuazua
Numerical Control: Part A: Volume 23
Book
02/2022
North-Holland
€198.08
Shipment within 15-20 days
Persons
Content
1. Control and numerical approximation of fractional diffusion equationsUmberto Biccari, Mahamadi Warma, and Enrique Zuazua2. Modeling, control, and numerics of gas networksMartin Gugat and Michael Herty3. Optimal control, numerics, and applications of fractional PDEsHarbir Antil, Thomas Brown, Ratna Khatri, Akwum Onwunta, Deepanshu Verma, and Mahamadi Warma4. Optimal control of PDEs and FE-approximationEduardo Casas, Karl Kunisch, and Fredi Tröltzsch5. Numerical solution of multi-objective optimal control and hierarchic controllability problemsEnrique Fernández-Cara6. Numerics for stochastic distributed parameter control systems: a finite transposition methodQi Lü, Penghui Wang, Yanqing Wang, and Xu Zhang7. Numerical solutions of stochastic control problems: Markov chain approximation methodsZhuo Jin, Ky Tran, and George Yin8. Control of parameter dependent systemsMartin Lazar and Jérôme Lohéac9. Space-time POD-Galerkin approach for parametric flow controlFrancesco Ballarin, Gianluigi Rozza, and Maria Strazzullo10. Moments and convex optimization for analysis and control of nonlinear PDEsMilan Korda, Didier Henrion, and Jean Bernard Lasserre11. Turnpike properties in optimal controlTimm Faulwasser and Lars Grüne12. Some challenging optimization problems for logistic diffusive equations and their numerical modelingIdriss Mazari, Grégoire Nadin, and Yannick Privat13. Gradient flows and nonlinear power methods for the computation of nonlinear eigenfunctionsLeon Bungert and Martin Burger14. Dynamic Programming versus supervised learningGilles Pagès and Olivier Pironneau15. Data-driven modeling and control of large-scaledynamical systems in the Loewner frameworkIon Victor Gosea, Charles Poussot-Vassal, and Athanasios C. Antoulas16. Machine learning and control theoryAlain Bensoussan, Yiqun Li, Dinh Phan Cao Nguyen, Minh-Binh Tran, Sheung Chi Phillip Yam, and Xiang Zhou
