Patience Control: A Modular and Dynamic Construction of Composite Controllers

Aviran Sadon, Shai Arogeti, Gera Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of designing controllers for achieving composite goals is well studied in the literature and is considered an open problem. In this paper we propose a controller architecture that builds on approaches for designing reactive decision making systems developed in the field of computer science. Specifically, we propose an extension of the Behavioural Programming (BP) approach that is tailored to allow controller design. As the name of the paper suggests, we identify the issue of "patience" as a key feature of the new approach - in many composite control problems it is not possible to advance all goals at all time, i.e., some goals need to "patiently" wait while others are being advanced. We demonstrate how the proposed approach is capable of handling elaborated multi-objective situations that include patience in an intuitive and effective way.

Original languageEnglish
Title of host publication7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages975-981
Number of pages7
ISBN (Electronic)9781728159539
DOIs
StatePublished - 29 Jun 2020
Event7th International Conference on Control, Decision and Information Technologies, CoDIT 2020 - Prague, Czech Republic
Duration: 29 Jun 20202 Jul 2020

Publication series

Name7th International Conference on Control, Decision and Information Technologies, CoDIT 2020

Conference

Conference7th International Conference on Control, Decision and Information Technologies, CoDIT 2020
Country/TerritoryCzech Republic
CityPrague
Period29/06/202/07/20

Keywords

  • Behavioural Programming
  • Control

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Control and Optimization
  • Modeling and Simulation

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