Adaptive NN leaderfollowing consensus control of secondorder nonlinear multiagent systems with unknown control gains This thesis investigate the consensus tracking control problem for secondorder MAS with unknown control gains, unknown nonlinear dynamics and external disturbance. Only part of followers can acquire the state information of the leader. RBFNNs are introduced to estimate the unknown nonlinear function of agents dynamics. Based on Lyapunov theory and Nussbaum type function, a new consensus tracking control strategy is proposed by using only the communication of each agent and its vicinages. In this paper, it also proves that the secondorder MAS can obtain consensus tracking control by selecting the appropriate parameters. Finally, simulation results verify the accuracy of the proposed consensus control method.

Designing an H_infinity Fuzzy LMIBased Consensus Protocol for Nonlinear Multiagent Systems consensus problem of multi agent systems catch great attention in recent years. It is mainly due to its vast applications. Designing an appropriate control protocol that guarantees the desired agreement between the agents is the main purpose of the consensus problem. A linear matrix inequality (LMI)based approach for the H_xe2x88x9e consensus of leaderfollower nonlinear multiagent system (MAS) is proposed in this paper. In the proposed framework, fuzzy Lyuponov function (FLF) is chosen. Some slack matrices are introduced to decouple the Lyapunov matrices from the systemsu0027 one which provide more degrees of freedom to the consensus problem and leads to decrease the conservativeness. As a result, sufficient conditions for consensus problem are presented in terms of LMIs. Finally, In order to evaluate the validity and effectiveness of the proposed approach, a numerical example for consensus of nonlinear MAS with thirteen followers is solved and simulation results are provided. Obtained results demonstrate the solid validity and great effectiveness of the proposed approach.