Intermittent Fixed-Time Fuzzy Consensus of Nonlinear Multiagent Systems With Unknown Control Directions and Event-Based Communication

In this paper, a new event-based aperiodic intermittent fixed-time consensus control strategy is developed for multiagent systems (MASs) with nonlinear uncertainties and unknown control directions. Concretely, the intermittent control strategy is considered to construct the intermittent event-based control (IEBC) algorithm, which leads to substantial savings in communication resources. Additionally, an enhanced triggering algorithm is further designed to eliminate continuous monitoring of neighbors' and its own states. Consequently, different from the existing event-based control strategy, the IEBC algorithms proposed herein can further reduce communication energy consumption. To handle the nonlinear uncertainties in MASs, fuzzy logic systems are utilized, enhancing the algorithm to tackle more general problems. Considering the problem of unknown control directions, a controller employing Nussbaum-type functions is formulated. Moreover, the fixed-time consensus control algorithm is incorporated, and the estimation of the convergence time is not reliant on the initial states. Finally, the feasibility of the proposed algorithm is demonstrated through a numerical example.