Optimal Control of Nonlinear Processes - Grass, Dieter;Caulkins, Jonathan P.;Feichtinger, Gustav
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Dynamic optimization is rocket science - and more. This volume teaches how to harness the modern theory of dynamic optimization to solve practical problems, not only from space flight but also in emerging social applications such as the control of drugs, corruption, and terror. These innovative domains are usefully thought about in terms of populations, incentives, and interventions, concepts which map well into the framework of optimal dynamic control. This volume is designed to be a lively introduction to the mathematics and a bridge to these hot topics in the economics of crime for current…mehr

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Produktbeschreibung
Dynamic optimization is rocket science - and more. This volume teaches how to harness the modern theory of dynamic optimization to solve practical problems, not only from space flight but also in emerging social applications such as the control of drugs, corruption, and terror. These innovative domains are usefully thought about in terms of populations, incentives, and interventions, concepts which map well into the framework of optimal dynamic control. This volume is designed to be a lively introduction to the mathematics and a bridge to these hot topics in the economics of crime for current scholars. We celebrate Pontryagin's Maximum Principle - that crowning intellectual achievement of human understanding - and push its frontiers by exploring models that display multiple equilibria whose basins of attraction are separated by higher-dimensional DNSS "tipping points". That rich theory is complemented by numerical methods available through a companion web site.
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Rezensionen
From the reviews: "This textbook on optimal control of nonlinear processes introduces several innovations compared to standard textbooks on this topic. ... The software used is available through a companion website. The book can be highly recommended to students, teachers, and researchers interested in optimal control." (Walter Alt, Zentralblatt MATH, Vol. 1149, 2008)