Adaptive bipartite consensus event-triggered control of multi-agent
system with DoS attack based on generational partition
Abstract
The event-triggered group consistency problem of a class of second-order
multi-agent systems (MASs) under denial of service attacks (DoS) is
studied. The main contribution lies in the proposed group generation
partition algorithm for multi-agents with directed network topology,
which successfully solves the problem of multi-task assignment in
complex networks. Then, the algorithm transforms the adjacency matrix
into a standard diagonal type to reduce the algorithm complexity. A new
adaptive event triggering mechanism (ETM) is designed using a fuzzy
logic system for the directed network. The trigger threshold is adjusted
by the relative motion trajectory between adjacent agents, the output
feedback error of the agents, and the adaptive parameters of the fuzzy
logic system, which can reduce the communication burden. Finally, the
Lyapunov stability theory is used to prove the asymptotic stability and
consistency of the closed-loop system, and the effectiveness of the
proposed algorithm is verified by two simulation examples.