Lectures on Stochastic Control and Nonlinear Filtering
by M. H. A. Davis
Publisher: Tata Institute of Fundamental Research 1984
Number of pages: 112
There are actually two separate series of lectures, on controlled stochastic jump processes and nonlinear filtering respectively, and the corresponding two parts of these notes are almost disjoint. They are united however, by the common philosophy of treating Markov processes by methods of stochastic calculus.
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by R. Timman
The lectures present an introduction to modern control theory. Calculus of variations is used to study the problem of determining the optimal control for a deterministic system without constraints and for one with constraints.
by Ivan Ganchev Ivanov (ed.) - InTech
The book provides a self-contained treatment on practical aspects of stochastic modeling and calculus including applications in engineering, statistics and computer science. Readers should be familiar with probability theory and stochastic calculus.
by Ginalber Luiz de Oliveira Serra (ed.) - InTech
This book brings the state-of-art research results on advanced control from both the theoretical and practical perspectives. The fundamental and advanced research results and technical evolution of control theory are of particular interest.
by Derek Atherton - BookBoon
The book is concerned with the effects of nonlinearity in feedback control systems and techniques which can be used to design feedback loops containing nonlinear elements. The material is of an introductory nature but hopefully gives an overview.