Uncertain Optimal Control

This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control. These models, which have continuous-time forms and discrete-time forms, make use of dy...

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Bibliographic Details
Main Author: Zhu, Yuanguo (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Springer Uncertainty Research,
Subjects:
Computational intelligence.
Mathematical optimization.
Control engineering.
Robotics.
Automation.
Artificial intelligence.
Operations research.
Computational Intelligence.
Optimization.
Control, Robotics, Automation.
Artificial Intelligence.
Operations Research and Decision Theory.
Online Access:Full-text access
Description
Summary:This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value uncertain optimal control and optimistic value uncertain optimal control. These models, which have continuous-time forms and discrete-time forms, make use of dynamic programming. The uncertain optimal control theory relates to equations of optimality, uncertain bang-bang optimal control, optimal control with switched uncertain system, and optimal control for uncertain system with time-delay. Uncertain optimal control has applications in portfolio selection, engineering, and games. The book is a useful resource for researchers, engineers, and students in the fields of mathematics, cybernetics, operations research, industrial engineering, artificial intelligence, economics, and management science.
Physical Description:IX, 208 p. 16 illus., 8 illus. in color. online resource.
ISBN:9789811321344
ISSN:2199-3815
DOI:10.1007/978-981-13-2134-4

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