Autonomous underwater vehicles (AUVs) are submersible underwater vehicles controlled
by onboard computers. AUV formation is a cooperative control which focuses on controlling …

It is a fundamental challenge to understand how the function of a network is related to its
structural organization. Adaptive dynamical networks represent a broad class of systems that …

The advances in reinforcement learning have recorded sublime success in various domains.
Although the multi-agent domain has been overshadowed by its single-agent counterpart …

Blockchain is a technology making the shared registry concept from distributed systems a
reality for a number of application domains, from the cryptocurrency one to potentially any …

This paper considers the event-triggered tracking control problem of nonlinear multiagent
systems with unknown disturbances. The event-triggering mechanism is considered in the …

In this paper, for linear leader-follower networks with multiple heterogeneous actuator faults,
including partial loss of effectiveness fault and actuator bias fault, a cooperative fault-tolerant …

We present a survey of formation control of multi-agent systems. Focusing on the sensing
capability and the interaction topology of agents, we categorize the existing results into …

Distributed networked control systems have attracted intense attention from both academia
and industry due to the multidisciplinary nature among the areas of communication …

Swarms of robots will revolutionize many industrial applications, from targeted material
delivery to precision farming. However, several of the heterogeneous characteristics that …

This paper investigates the optimal consensus control problem for discrete-time multi-agent
systems with completely unknown dynamics by utilizing a data-driven reinforcement …