Premium
Modular stability tools for distributed computation and control
Author(s) -
Slotine JeanJacques E.
Publication year - 2003
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.754
Subject(s) - modular design , computation , computer science , stability (learning theory) , distributed computing , programming language , machine learning
Much recent functional modelling of the central nervous system, beyond traditional ‘neural net’ approaches, focuses on its distributed computational architecture. This paper discusses extensions of our recent work aimed at understanding this architecture from an overall non‐linear stability and convergence point of view, and at constructing artificial devices exploiting similar modularity. Applications to synchronization and to schooling are also described. The development makes extensive use of non‐linear contraction theory. Copyright © 2003 John Wiley & Sons, Ltd.