Event-Triggered Observer-Based Fixed-Time Consensus Control for Uncertain Nonlinear Multi-Agent Systems
A control design that achieves fixed-time tracking consensus for a network of uncertain nonlinear agents with unmeasured states. It couples a Lyapunov-based adaptive tuning law guaranteeing fixed-time convergence, an output-feedback observer that reconstructs unmeasured states, radial basis function neural networks that approximate unknown nonlinearities and break the algebraic-loop dependency, and an event-triggered update rule that lowers update frequency while provably excluding Zeno behavior and confining the closed-loop error to a small set.
Event-Triggered Observer-Based Fixed-Time Consensus Control for Uncertain Nonlinear Multiagent
This paper designs a controller that drives a group of uncertain nonlinear multi-agent systems to fixed-time tracking consensus when their internal states cannot be measured directly. The controller …