Infinite Dimensional Optimization and Control Theory

AvHector O. Fattorini

Häftad, Engelska, 2010

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Beskrivning

This book is on existence and necessary conditions, such as Potryagin's maximum principle, for optimal control problems described by ordinary and partial differential equations. These necessary conditions are obtained from Kuhn-Tucker theorems for nonlinear programming problems in infinite dimensional spaces. The optimal control problems include control constraints, state constraints and target conditions. Evolution partial differential equations are studied using semigroup theory, abstract differential equations in linear spaces, integral equations and interpolation theory. Existence of optimal controls is established for arbitrary control sets by means of a general theory of relaxed controls. Applications include nonlinear systems described by partial differential equations of hyperbolic and parabolic type and results on convergence of suboptimal controls.

Produktinformation

Utgivningsdatum:2010-06-24
Mått:152 x 229 x 41 mm
Vikt:1 070 g
Format:Häftad
Språk:Engelska
Serie:Encyclopedia of Mathematics and its Applications
Antal sidor:816
Förlag:Cambridge University Press
ISBN:9780521154543

Utforska kategorier

Optimering inom Naturvetenskap och teknik

Mer om författaren

Hector O. Fattorini graduated from the Licenciado en Matemática, Universidad de Buenos Aires in 1960 and gained a Ph.D. in Mathematics from the Courant Institute of Mathematical Sciences, New York University, in 1965. Since 1967, he has been a member of the Department of Mathematics at the University of California, Los Angeles.

Recensioner i media

Review of the hardback: 'This outstanding monograph will be a great source both for experts and for graduate students interested in calculus of variations, non-linear programming, optimisation theory, optimal control and relaxation theory.' European Mathematical Society

Innehållsförteckning

Part I. Finite Dimensional Control Problems: 1. Calculus of variations and control theory; 2. Optimal control problems without target conditions; 3. Abstract minimization problems: the minimum principle for the time optimal problem; 4. Abstract minimization problems: the minimum principle for general optimal control problems; Part II. Infinite Dimensional Control Problems: 5. Differential equations in Banach spaces and semigroup theory; 6. Abstract minimization problems in Hilbert spaces: applications to hyperbolic control systems; 7. Abstract minimization problems in Banach spaces: abstract parabolic linear and semilinear equations; 8. Interpolation and domains of fractional powers; 9. Linear control systems; 10. Optimal control problems with state constraints; 11. Optimal control problems with state constraints: The abstract parabolic case; Part III. Relaxed Controls: 12. Spaces of relaxed controls: topology and measure theory; 13. Relaxed controls in finite dimensional systems: existence theory; 14. Relaxed controls in infinite dimensional spaces: existence theory.