---
_id: '13443'
abstract:
- lang: eng
  text: "This work considers the problem of control and resource allocation in networked\r\nsystems.
    To this end, we present DIRA a Deep reinforcement learning based Iterative Resource\r\nAllocation
    algorithm, which is scalable and control-aware. Our algorithm is tailored towards\r\nlarge-scale
    problems where control and scheduling need to act jointly to optimize performance.\r\nDIRA
    can be used to schedule general time-domain optimization based controllers. In
    the present\r\nwork, we focus on control designs based on suitably adapted linear
    quadratic regulators. We\r\napply our algorithm to networked systems with correlated
    fading communication channels. Our\r\nsimulations show that DIRA scales well to
    large scheduling problems."
author:
- first_name: Adrian
  full_name: Redder, Adrian
  id: '52265'
  last_name: Redder
  orcid: https://orcid.org/0000-0001-7391-4688
- first_name: Arunselvan
  full_name: Ramaswamy, Arunselvan
  id: '66937'
  last_name: Ramaswamy
  orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Daniel
  full_name: Quevedo, Daniel
  last_name: Quevedo
citation:
  ama: 'Redder A, Ramaswamy A, Quevedo D. Deep reinforcement learning for scheduling
    in large-scale networked control systems. In: <i>Proceedings of the 8th IFAC Workshop
    on Distributed Estimation and Control in Networked Systems</i>. ; 2019.'
  apa: Redder, A., Ramaswamy, A., &#38; Quevedo, D. (2019). Deep reinforcement learning
    for scheduling in large-scale networked control systems. In <i>Proceedings of
    the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems</i>.
    Chicago, USA.
  bibtex: '@inproceedings{Redder_Ramaswamy_Quevedo_2019, title={Deep reinforcement
    learning for scheduling in large-scale networked control systems}, booktitle={Proceedings
    of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems},
    author={Redder, Adrian and Ramaswamy, Arunselvan and Quevedo, Daniel}, year={2019}
    }'
  chicago: Redder, Adrian, Arunselvan Ramaswamy, and Daniel Quevedo. “Deep Reinforcement
    Learning for Scheduling in Large-Scale Networked Control Systems.” In <i>Proceedings
    of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems</i>,
    2019.
  ieee: A. Redder, A. Ramaswamy, and D. Quevedo, “Deep reinforcement learning for
    scheduling in large-scale networked control systems,” in <i>Proceedings of the
    8th IFAC Workshop on Distributed Estimation and Control in Networked Systems</i>,
    Chicago, USA, 2019.
  mla: Redder, Adrian, et al. “Deep Reinforcement Learning for Scheduling in Large-Scale
    Networked Control Systems.” <i>Proceedings of the 8th IFAC Workshop on Distributed
    Estimation and Control in Networked Systems</i>, 2019.
  short: 'A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop
    on Distributed Estimation and Control in Networked Systems, 2019.'
conference:
  end_date: 2019-09-17
  location: Chicago, USA
  name: 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems
    - NECSYS 2019
  start_date: 2019-09-16
date_created: 2019-09-23T16:00:58Z
date_updated: 2022-01-06T06:51:36Z
ddc:
- '620'
file:
- access_level: local
  content_type: application/pdf
  creator: aredder
  date_created: 2019-09-23T15:48:33Z
  date_updated: 2019-09-23T16:21:16Z
  file_id: '13444'
  file_name: ifacconf.pdf
  file_size: 371429
  relation: main_file
file_date_updated: 2019-09-23T16:21:16Z
has_accepted_license: '1'
keyword:
- Networked control systems
- deep reinforcement learning
- large-scale systems
- resource scheduling
- stochastic control
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1905.05992
oa: '1'
project:
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
publication: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control
  in Networked Systems
publication_status: published
status: public
title: Deep reinforcement learning for scheduling in large-scale networked control
  systems
type: conference
user_id: '52265'
year: '2019'
...