Event-Based Prescribed-Time Output Regulation of Uncertain Nonlinear Multiagent Systems.

The prescribed-time output regulation problem is investigated for a class of uncertain nonlinear multiagent systems (MASs) subject to limited communication resources. To address this challenge, an event-based distributed neuro-adaptive prescribed-time control scheme comprising distributed prescribed-time observers, a dynamic event-triggered mechanism (DETM), and neuro-adaptive prescribed-time controllers is developed. Specifically, a distributed prescribed-time observer is constructed for each agent using event-based communications to estimate the states of the exosystem.

NN event-triggered finite-time consensus control for uncertain nonlinear Multi-Agent Systems with dead-zone input and actuator failures.

This paper develops a Neural Network (NN) event-triggered finite-time consensus control method for uncertain nonlinear Multi-Agent Systems (MASs) with dead-zone input and actuator failures. In practical applications, actuator failures would inevitably arise in MASs. And the time, pattern, and value of the failures are unknown.

Finite-time consensus control for multi-agent systems with full-state constraints and actuator failures.

Aiming at a class of uncertain nonlinear multi-agent systems (MASs) with full-state constraints and actuator failures, a finite-time consensus control method is developed. Full-state constraints and actuator failures are ubiquitous in practical engineering applications. Violation of constraints would drastically affect the performance of MASs, even arise security problems.