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Neural approximations for optimal co...
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Neural approximations for optimal control and decision
Record Type:
Electronic resources : Monograph/item
Title/Author:
Neural approximations for optimal control and decisionby Riccardo Zoppoli ... [et al.].
other author:
Zoppoli, Riccardo.
Published:
Cham :Springer International Publishing :2020.
Description:
xviii, 517 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Control theoryMathematical models.
Online resource:
https://doi.org/10.1007/978-3-030-29693-3
ISBN:
9783030296933$q(electronic bk.)
Neural approximations for optimal control and decision
Neural approximations for optimal control and decision
[electronic resource] /by Riccardo Zoppoli ... [et al.]. - Cham :Springer International Publishing :2020. - xviii, 517 p. :ill., digital ;24 cm. - Communications and control engineering,0178-5354. - Communications and control engineering..
Chapter 1. The Basic Infinite-Dimensional or Functional Optimization Problem -- Chapter 2. From Functional Optimization to Nonlinear Programming by the Extended Ritz Method -- Chapter 3. Some Families of FSP Functions and Their Properties -- Chapter 4. Design of Mathematical Models by Learning from Data and FSP Functions -- Chapter 5. Numerical Methods for Integration and Search for Minima -- Chapter 6. Deterministic Optimal Control Over a Finite Horizon -- Chapter 7. Stochastic Optimal Control with Perfect State Information over a Finite Horizon -- Chapter 8. Stochastic Optimal Control with Imperfect State Information over a Finite Horizon -- Chapter 9. Team Optimal Control Problems -- Chapter 10. Optimal Control Problems over an Infinite Horizon -- Index.
ISBN: 9783030296933$q(electronic bk.)
Standard No.: 10.1007/978-3-030-29693-3doiSubjects--Topical Terms:
492355
Control theory
--Mathematical models.
LC Class. No.: QA402.3
Dewey Class. No.: 629.8312
Neural approximations for optimal control and decision
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Chapter 1. The Basic Infinite-Dimensional or Functional Optimization Problem -- Chapter 2. From Functional Optimization to Nonlinear Programming by the Extended Ritz Method -- Chapter 3. Some Families of FSP Functions and Their Properties -- Chapter 4. Design of Mathematical Models by Learning from Data and FSP Functions -- Chapter 5. Numerical Methods for Integration and Search for Minima -- Chapter 6. Deterministic Optimal Control Over a Finite Horizon -- Chapter 7. Stochastic Optimal Control with Perfect State Information over a Finite Horizon -- Chapter 8. Stochastic Optimal Control with Imperfect State Information over a Finite Horizon -- Chapter 9. Team Optimal Control Problems -- Chapter 10. Optimal Control Problems over an Infinite Horizon -- Index.
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Intelligent Technologies and Robotics (Springer-42732)
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EB QA402.3 .N494 2020 2020
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https://doi.org/10.1007/978-3-030-29693-3
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