The paper presents a cooperative scheme for controlling arbitrary formations of low speed experimental UAVs based on a distributed LQR design methodology. Each UAV acts as an independent agent in the formation and its dynamics are described by a 6-DOF (degrees of freedom) nonlinear model. This is linearized for control design purposes around an operating point corresponding to straight flight conditions and simulated only for longitudinal motion. It is shown that the proposed controller stabilizes the overall formation and can control effectively the nonlinear multi-agent system. Also, it is shown via numerous simulations that the system provides reference tracking and that is robust to environmental disturbances such as nonuniform wind gus...
Controlling a distributed autonomous unmanned aerial vehicle (UAV) formation is usually considered i...
This dissertation presents new results on multi-agent formation control and applies the new control ...
This dissertation presents new results on multi-agent formation control and applies the new control ...
The paper presents a cooperative scheme for controlling arbitrary formations of low speed experiment...
The thesis develops optimal control methods for designing distributed cooperative control schemes in...
An LQR-based Control design and gain tuning strategies proposals for a multi-agent system are presen...
A centralized heterogeneous formation flight position control scheme has been formulated using an ex...
Copyright © 2015 Taylor & Francis This is an Accepted Manuscript of an article published by Taylor &...
This paper treats the design of a decentralized nonlinear robust control system for formation flying...
This paper treats the design of a decentralized nonlinear robust control system for formation flying...
This paper investigates the close formation control problem of multiple unmanned aerial vehicles (UA...
In this paper, a nonlinear robust formation flight controller for a swarm of unmanned aerial vehicle...
In this paper, we propose and experimentally verify a distributed formation control algorithm for a ...
In this paper, a centralised robust discrete-time sliding mode controller is proposed for the format...
In this paper, a centralised robust discrete-time sliding mode controller is proposed for the format...
Controlling a distributed autonomous unmanned aerial vehicle (UAV) formation is usually considered i...
This dissertation presents new results on multi-agent formation control and applies the new control ...
This dissertation presents new results on multi-agent formation control and applies the new control ...
The paper presents a cooperative scheme for controlling arbitrary formations of low speed experiment...
The thesis develops optimal control methods for designing distributed cooperative control schemes in...
An LQR-based Control design and gain tuning strategies proposals for a multi-agent system are presen...
A centralized heterogeneous formation flight position control scheme has been formulated using an ex...
Copyright © 2015 Taylor & Francis This is an Accepted Manuscript of an article published by Taylor &...
This paper treats the design of a decentralized nonlinear robust control system for formation flying...
This paper treats the design of a decentralized nonlinear robust control system for formation flying...
This paper investigates the close formation control problem of multiple unmanned aerial vehicles (UA...
In this paper, a nonlinear robust formation flight controller for a swarm of unmanned aerial vehicle...
In this paper, we propose and experimentally verify a distributed formation control algorithm for a ...
In this paper, a centralised robust discrete-time sliding mode controller is proposed for the format...
In this paper, a centralised robust discrete-time sliding mode controller is proposed for the format...
Controlling a distributed autonomous unmanned aerial vehicle (UAV) formation is usually considered i...
This dissertation presents new results on multi-agent formation control and applies the new control ...
This dissertation presents new results on multi-agent formation control and applies the new control ...