Modular stability tools for distributed computation and control

被引：45

作者：

Slotine, JJE ^{[1
]}

机构：

[1] MIT, Nonlinear Syst Lab, Cambridge, MA 02139 USA

来源：

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2003年 / 17卷 / 06期

关键词：

contraction theory; modularity; synchronization; networks; MOTOR; SYNCHRONIZATION; CONSTRUCTION; BEHAVIOR; DESIGN; MUSCLE; MODEL; VIEW;

D O I：

10.1002/acs.754

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 (C) 2003 John Wiley Sons, Ltd.

引用

页码：397 / 416

页数：20

共 39 条

[1]

Atkeson CG, 1997, ARTIF INTELL REV, V11, P75, DOI 10.1023/A:1006511328852

[2] MODULAR ORGANIZATION OF MOTOR BEHAVIOR IN THE FROGS SPINAL-CORD [J].