Improved consensus algorithms using memory effects
Gabriel Rodrigues de Campos, Alexandre Seuret · 2011
This paper deals with simple integrator consensus problems. The objective is the design of an improved consensus algorithm for continuous-time multi-agent systems using memory effects. The novel algorithm proposes to sample, in an appropriate manner, part of the multi-agent systems information such that the algorithm converges, assuming that at each instant, agent's control laws will also consider the sampled past information of its neighbors. Stability conditions expressed in terms of LMI's and based on algebraic communication matrix structure are provided. The efficiency of the method is tested for different network communication schemes.