Controlled consensus of Multi-Agent Systems with different agent dynamics

The problem of consensus on Multi-Agent System of structurally different dynamical agent is investigated. Consensus of Multi-Agent System is usually defined in terms of identical accordance on the evolution of each individual agent in the network. However, for a network consisting of strictly different agents, this type of consensus should be redefined. In this case, a generalized definition of consensus can be considered, where the evolution of each agent can be related to others in terms of a map. In order to achieve consensus on a network of strictly different agents, local linear and nonlinear controllers are designed which force the network to achieve bounded consensus and exact consensus respectively. The main results of this study are illustrated by numerical simulation.