
Recent Mathematical Methods in Dynamic Programming
Proceedings of the Conference held in Rome, Italy, March 26-28, 1984
Springer (Publisher)
Published on 1. March 1985
Book
Paperback/Softback
VIII, 204 pages
978-3-540-15217-0 (ISBN)
Description
The time optimal control of variational inequalities. dynamic programming and the maximum principle.- Some singular perturbation problems arising in stochastic control.- Some results on stationary Bellman equation in Hilbert spaces.- A stochastic control approach to some large deviations problems.- Towards an expert system in stochastic control: Optimization in the class of local feedbacks.- Optimal control and viscosity solutions.- Some control problems of degenerate diffusions with unbounded cost.- On some stochastic optimal impulse control problems.- Approximation of Hamilton-Jacobi-Bellman equation in deterministic control theory. An application to energy production systems.- Dynamic programming for optimal control problems with terminal constraints.
More details
Series
Edition
1985 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
VIII, 204 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
330 gr
ISBN-13
978-3-540-15217-0 (9783540152170)
DOI
10.1007/BFb0074776
Schweitzer Classification
Content
The time optimal control of variational inequalities. dynamic programming and the maximum principle.- Some singular perturbation problems arising in stochastic control.- Some results on stationary Bellman equation in Hilbert spaces.- A stochastic control approach to some large deviations problems.- Towards an expert system in stochastic control: Optimization in the class of local feedbacks.- Optimal control and viscosity solutions.- Some control problems of degenerate diffusions with unbounded cost.- On some stochastic optimal impulse control problems.- Approximation of Hamilton-Jacobi-Bellman equation in deterministic control theory. An application to energy production systems.- Dynamic programming for optimal control problems with terminal constraints.