05129nam 22006735 450 991030986010332120200629230631.03-030-01959-410.1007/978-3-030-01959-4(CKB)4100000007587405(MiAaPQ)EBC5649660(DE-He213)978-3-030-01959-4(PPN)233800611(EXLCZ)99410000000758740520190126d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierNumerical Methods for Optimal Control Problems /edited by Maurizio Falcone, Roberto Ferretti, Lars Grüne, William M. McEneaney1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (275 pages)Springer INdAM Series,2281-518X ;293-030-01958-6 1 M. Assellaou and A. Picarelli, A Hamilton-Jacobi-Bellman approach for the numerical computation of probabilistic state constrained reachable sets -- 2. A. Britzelmeier, A. De Marchi, and M. Gerdts, An iterative solution approach for a bi-level optimization problem for congestion avoidance on road networks -- 3 S. Cacace, R. Ferretti, and Z. Rafiei, Computation of Optimal Trajectories for Delay Systems: an Optimize-Then-Discretize Strategy for General-Purpose NLP Solvers -- 4 L. Mechelli and S. Volkwein, POD-Based Economic Optimal Control of Heat-Convection Phenomena -- 5 A. Alla and V. Simoncini, Order reduction approaches for the algebraic Riccati equation and the LQR problem -- 6 F. Durastante and S. Cipolla, Fractional PDE constrained optimization: box and sparse constrained problems -- 7 M. C. Delfour, Control, Shape, and Topological Derivatives via Minimax Differentiability of Lagrangians -- 8 A. J. Krener, Minimum Energy Estimation Applied to the Lorenz Attractor -- 9 M. Akian and E. Fodjo, Probabilistic max-plus schemes for solving Hamilton-Jacobi-Bellman equations -- 10 P. M. Dower, An adaptive max-plus eigenvector method for continuous time optimal control problems -- 11 W. Mc Eneaney and R. Zhao, Diffusion Process Representations for a Scalar-Field Schr¨odinger Equation Solution in Rotating Coordinates.The volume presents recent mathematical methods in the area of optimal control with a particular emphasis on the computational aspects and applications. Optimal control theory concerns the determination of control strategies for complex dynamical systems in order to optimize measures of their performance. The field was created in the 1960's, in response to the pressures of the "space race" between the US and the former USSR, but it now has a far wider scope and embraces a variety of areas ranging from process control to traffic flow optimization, renewable resources exploitation and financial market management. These emerging applications require increasingly efficient numerical methods to be developed for their solution – a difficult task due the huge number of variables. Providing an up-to-date overview of several recent methods in this area, including fast dynamic programming algorithms, model predictive control and max-plus techniques, this book is intended for researchers, graduate students and applied scientists working in the area of control problems, differential games and their applications.Springer INdAM Series,2281-518X ;29System theoryNumerical analysisComputer mathematicsEngineering mathematicsGame theorySystems Theory, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/M13070Numerical Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M14050Computational Science and Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/M14026Engineering Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/T11030Game Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/W29020System theory.Numerical analysis.Computer mathematics.Engineering mathematics.Game theory.Systems Theory, Control.Numerical Analysis.Computational Science and Engineering.Engineering Mathematics.Game Theory.629.8312629.8312Falcone Maurizioedthttp://id.loc.gov/vocabulary/relators/edtFerretti Robertoedthttp://id.loc.gov/vocabulary/relators/edtGrüne Larsedthttp://id.loc.gov/vocabulary/relators/edtMcEneaney William Medthttp://id.loc.gov/vocabulary/relators/edtBOOK9910309860103321Numerical Methods for Optimal Control Problems1563694UNINA