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Neural approximations for optimal co...

Zoppoli, Riccardo.

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Neural approximations for optimal control and decision

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Neural approximations for optimal control and decision/ by Riccardo Zoppoli ... [et al.].
其他作者:	Zoppoli, Riccardo.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xviii, 517 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Control theory - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-030-29693-3
ISBN:	9783030296933

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

Standard No.: 10.1007/978-3-030-29693-3doiSubjects--Topical Terms:

768552
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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505 0 $a 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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