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Deterministic and Stochastic Optimal Control (Paperback, Softcover reprint of the original 1st ed. 1975)
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Deterministic and Stochastic Optimal Control (Paperback, Softcover reprint of the original 1st ed. 1975)
Series: Stochastic Modelling and Applied Probability, 1
Expected to ship within 10 - 15 working days
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This book may be regarded as consisting of two parts. In Chapters
I-IV we pre sent what we regard as essential topics in an
introduction to deterministic optimal control theory. This material
has been used by the authors for one semester graduate-level
courses at Brown University and the University of Kentucky. The
simplest problem in calculus of variations is taken as the point of
departure, in Chapter I. Chapters II, III, and IV deal with
necessary conditions for an opti mum, existence and regularity
theorems for optimal controls, and the method of dynamic
programming. The beginning reader may find it useful first to learn
the main results, corollaries, and examples. These tend to be found
in the earlier parts of each chapter. We have deliberately
postponed some difficult technical proofs to later parts of these
chapters. In the second part of the book we give an introduction to
stochastic optimal control for Markov diffusion processes. Our
treatment follows the dynamic pro gramming method, and depends on
the intimate relationship between second order partial differential
equations of parabolic type and stochastic differential equations.
This relationship is reviewed in Chapter V, which may be read inde
pendently of Chapters I-IV. Chapter VI is based to a considerable
extent on the authors' work in stochastic control since 1961. It
also includes two other topics important for applications, namely,
the solution to the stochastic linear regulator and the separation
principle.
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