Action-dependent updated terminal cost receding horizon control for discrete-time linear systems

Mi Youn Moon, Jae Young Lee, Jin Bae Park, Yoon Ho Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In case of linear quadratic regulator (LQR), the updated terminal cost receding horizon control (UTC-RHC) enhances the standard RHC in terms of the stability and the convergence to the optimal solution. Based on the action-dependent (AD) value functions, known as Q-function, this paper proposes two modified RHC methods, AD-RHC and AD-UTC-RHC and proves the stability and convergence by using the matrix equivalence of the established control schemes. Additionally, in case of the horizon size N = 1, as like UTC-RHC is connected with heuristic dynamic programming (HDP), we shows the connection between the AD-UTC-RHC and ADHDP which has the learning abilities of the optimal solution without using the explicit descriptions of the system dynamics.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
Pages896-901
Number of pages6
Publication statusPublished - 2012
Event2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 - Jeju, Korea, Republic of
Duration: 2012 Oct 172012 Oct 21

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Other

Other2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
CountryKorea, Republic of
CityJeju
Period12/10/1712/10/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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