Litcius/Paper detail

Robust Formation Control for Cooperative Underactuated Quadrotors via Reinforcement Learning

Wanbing Zhao, Hao Liu, Frank L. Lewis

2020IEEE Transactions on Neural Networks and Learning Systems130 citationsDOI

Abstract

In this article, the model-free robust formation control problem is addressed for cooperative underactuated quadrotors involving unknown nonlinear dynamics and disturbances. Based on the hierarchical control scheme and the reinforcement learning theory, a robust controller is proposed without knowledge of each quadrotor dynamics, consisting of a distributed observer to estimate the position state of the leader, a position controller to achieve the desired formation, and an attitude controller to control the rotational motion. Simulation results on the multiquadrotor system confirm the effectiveness of the proposed model-free robust formation control method.

Topics & Concepts

UnderactuationControl theory (sociology)Reinforcement learningController (irrigation)Computer scienceRobust controlObserver (physics)Nonlinear systemPosition (finance)Control engineeringState observerControl (management)State (computer science)EngineeringControl systemArtificial intelligenceElectrical engineeringEconomicsAlgorithmPhysicsAgronomyFinanceBiologyQuantum mechanicsAdaptive Dynamic Programming ControlDistributed Control Multi-Agent SystemsAdaptive Control of Nonlinear Systems
Robust Formation Control for Cooperative Underactuated Quadrotors via Reinforcement Learning | Litcius