在线阅读本书 The long awaited second edition of Dynamic Optimization is now available. Clear exposition and numerous worked examples made the first edition the premier text on this subject. Now, the new edition is expanded and updated to include essential coverage of current developments on differential games, especially as they apply to important economic questions; new developme...(展开全部)

An excellent financial research tool, this classic focuses on the methods of solving continuous time problems. The two-part treatment covers closely related approaches to the calculus of variations and optimal control. In the two decades since its initial publication, the text has defined dynamic optimization for courses in economics and management science. Simply, clearly, and...(展开全部)

Functional analysis owes much of its early impetus to problems that arise in the calculus of variations. In turn, the methods developed there have been applied to optimal control, an area that also requires new tools, such as nonsmooth analysis. This self-contained textbook gives a complete course on all these topics. It is written by a leading specialist who is also a noted ex...(展开全部)

For senior-level or first-year graduate-level courses in control analysis and design, and related courses within engineering, science, and management. Feedback Control of Dynamic Systems, Sixth Edition is perfect for practicing control engineers who wish to maintain their skills. This revision of a top-selling textbook on feedback control with the associated web site...(展开全部)

For courses in Control Theory, in departments of Mechanical Engineering, Aerospace Engineering, or Electrical Engineering. Reorganized for use in any length course, this introductory text provides an in-depth, comprehensive treatment of a collection of classical and state-space approaches to control system design. It ties the methods together so that a designer is able to pick ...(展开全部)

This is the first textbook that fully explains the neuro-dynamic programming/reinforcement learning methodology, which is a recent breakthrough in the practical application of neural networks and dynamic programming to complex problems of planning, optimal decision making, and intelligent control. Neuro-dynamic programming uses neural network approximations to overcome the "cur...(展开全部)

Do we control what we believe? Are we responsible for what we believe? These two questions are connected: the kind of responsibility we have for our beliefs depends on the form of control that we have over them. For a number of years David Owens has investigated what form of control we must have over something in order to be held to the norms governing that thing, and has argue...(展开全部)

At the close of the 1980s, the independent contributions of Yann Brenier, Mike Cullen and John Mather launched a revolution in the venerable field of optimal transport founded by G. Monge in the 18th century, which has made breathtaking forays into various other domains of mathematics ever since. The author presents a broad overview of this area, supplying complete and self-con...(展开全部)