Title
Actuation Constraints And Artificial Physics Control
Abstract
Swarm systems for multiagent control rely on natural models of behavior. Such models both predict simulated natural behavior and provide control instructions to the underlying agents. These two roles can differ when, for example, controlling nonholonomic robots incapable of executing some control suggestions from the system. We consider a simple physicomimetics system and examine the effects of actuation constraint on that system in terms of its ability to stabilize in regular formations, as well as the impact of such constraints on learning control parameters. We find that in the cases we considered, Physicomimetics is surprisingly robust to certain types of actuation constraint. © 2008 Springer-Verlag Berlin Heidelberg.
Publication Date
11-26-2008
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
5199 LNCS
Number of Pages
389-398
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-540-87700-4_39
Copyright Status
Unknown
Socpus ID
56449100475 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/56449100475
STARS Citation
Ellis, Chris and Wiegand, R. Paul, "Actuation Constraints And Artificial Physics Control" (2008). Scopus Export 2000s. 9700.
https://stars.library.ucf.edu/scopus2000/9700