Title
Analysis and Synthesis of MIMO Multi-Agent Systems Using Network Optimization
Abstract
This work studies analysis and synthesis problems for diffusively coupled multi-agent systems. We focus on networks comprised of multi-input multi-output nonlinear systems that posses a property we term maximal equilibrium-independent cyclically monotone passivity (MEICMP), which is an extension of recent passivity results. We demonstrate that networks comprised of MEICMP systems are related to a pair of dual network optimization problems. In particular, we show that the steady- state behavior of the multi-agent system correspond to the minimizers of appropriately defined network optimization problems. This optimization perspective leads to a synthesis procedure for designing the network controllers to achieve a desired output. We provide detailed examples of networked systems satisfying these properties and demonstrate the results for a network of damped planar oscillators.
Year
DOI
Venue
2019
10.1109/TAC.2019.2908258
IEEE Transactions on Automatic Control
Keywords
Field
DocType
Steady-state,Optimization,MIMO communication,Multi-agent systems,Couplings,Control systems,Convergence
Passivity,Convergence (routing),Mathematical optimization,Nonlinear system,MIMO,Multi-agent system,Control system,Optimization problem,Mathematics,Monotone polygon
Journal
Volume
Issue
ISSN
64
11
0018-9286
Citations 
PageRank 
References 
4
0.44
12
Authors
2
Name
Order
Citations
PageRank
Miel Sharf181.90
Daniel Zelazo237930.74