2014/01/31 by Maria Elena Valcher, Pradeep Misra, Pradeep Kumar Mısra · 6 citations
Computer Science · Engineering · #Distributed Control Multi-Agent Systems #Stability and Control of Uncertain Systems #Neural Networks Stability and Synchronization
paper · doi:10.1109/tac.2013.2294621
In this note we consider a supervisory control scheme that achieves either asymptotic stability or consensus for a group of homogenous agents described by a positive state-space model. Each agent is modeled by means of the same SISO positive state-space model, and the supervisory controller, representing the information exchange among the agents, is implemented via a static output feedback. Necessary and sufficient conditions for the asymptotic stability, or the consensus of all agents, are derived under the positivity constraint.