Abstract

Solving infinite time optimal control problems in an approximate dynamic programing framework with two-network structure has become popular in recent years. In this chapter, an alternative to the two-network structure is provided. We develop single network adaptive critics (SNAC) which eliminate the need to have a separate action network to output control. Two versions of SNAC are presented. The first version, called SNAC outputs the costates and the second version called J-SNAC outputs the cost function values. Special structure called Finite-SNAC to efficiently solve finite time problems is also presented. Illustrative infinite time and finite time problems are considered; numerical results clearly demonstrate the potential of the single network structures to solve optimal control problems. © 2013 The Institute of Electrical and Electronics Engineers, Inc.

Department(s)

Mechanical and Aerospace Engineering

Publication Status

Full Access

Keywords and Phrases

AC designs, HDP/DHP architectures; ADP, formulation with AC neural; Finite-SNAC, finite horizon of affine/DHP; SNAC networks, and applications; SNAC, separate action network elimination

International Standard Book Number (ISBN)

978-111810420-0

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Wiley, All rights reserved.

Publication Date

07 Feb 2013

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