Optimization and Control
by Richard Weber
Publisher: University of Cambridge 2010
Number of pages: 70
Topics: Dynamic Programming; Examples of Dynamic Programming; Dynamic Programming over the Infinite Horizon; Positive Programming; Negative Programming; Bandit Processes and Gittins Index; Average-cost Programming; LQ Regulation; Controllability; Stabilizability and Observability; Kalman Filter and Certainty Equivalence; etc.
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by B.D.O. Anderson, J.B. Moore - Prentice Hall
This book constructs a bridge between the familiar classical control results and those of modern control theory. Many modern control results do have practical engineering significance, as distinct from applied mathematical significance.
by B.D.O. Anderson, J.B. Moore - Prentice-Hall
Numerous examples highlight this treatment of the use of linear quadratic Gaussian methods for control system design. It explores linear optimal control theory from an engineering viewpoint, with illustrations of practical applications.
by Dimitri P. Bertsekas, Steven E. Shreve - Athena Scientific
This research monograph is the authoritative and comprehensive treatment of the mathematical foundations of stochastic optimal control of discrete-time systems, including the treatment of the intricate measure-theoretic issues.
by Lawrence C. Evans - University of California, Berkeley
Contents: Introduction; Controllability, bang-bang principle; Linear time-optimal control; The Pontryagin Maximum Principle; Dynamic programming; Game theory; Introduction to stochastic control theory; Proofs of the Pontryagin Maximum Principle.