This paper provides a broad perspective and analysis of the work done in control of hybrid
and convertible unmanned aerial vehicles (UAVs) for the main existing designs. These flying …

We review the main design techniques of state observer design for continuous-time
dynamical systems, namely algorithms which reconstruct online the full information of a …

Executing safe and precise flight maneuvers in dynamic high-speed winds is important for
the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the …

In a paper by Willems et al., it was shown that persistently exciting data can be used to
represent the input-output behavior of a linear system. Based on this fundamental result, we …

This paper considers an optimal control of an affine nonlinear system with unknown system
dynamics. A new identifier–critic framework is proposed to solve the optimal control problem …

This paper reviews the current state of the art on reinforcement learning (RL)-based
feedback control solutions to optimal regulation and tracking of single and multiagent …

This article presents a novel efficient experience-replay-based adaptive dynamic
programming (ADP) for the optimal control problem of a class of nonlinear dynamical …

This paper considers the distributed event-triggered consensus problem for general linear
multiagent networks. Both the leaderless and leader-follower consensus problems are …

In this article, we propose a way to enhance the learning framework for zero-sum games
with dynamics evolving in continuous time. In contrast to the conventional centralized actor …

Multi-agent systems (MASs) are typically composed of multiple smart entities with
independent sensing, communication, computing, and decision-making capabilities …