| Towards encrypted MPC for linear constrained systems MS Darup, A Redder, I Shames, F Farokhi, D Quevedo IEEE Control Systems Letters 2 (2), 195-200, 2017 | 62 | 2017 |
| Encrypted cooperative control based on structured feedback MS Darup, A Redder, DE Quevedo IEEE control systems letters 3 (1), 37-42, 2018 | 28 | 2018 |
| Encrypted cloud-based MPC for linear systems with input constraints MS Darup, A Redder, DE Quevedo IFAC-PapersOnLine 51 (20), 535-542, 2018 | 19 | 2018 |
| On the use of artificial noise for secure state estimation in the presence of eavesdroppers AS Leong, A Redder, DE Quevedo, S Dey 2018 European Control Conference (ECC), 325-330, 2018 | 11 | 2018 |
| Deep reinforcement learning for scheduling in large-scale networked control systems A Redder, A Ramaswamy, DE Quevedo https://arxiv.org/abs/1905.05992, 2019 | 7 | 2019 |
| Optimization over time-varying networks with unbounded delays A Ramaswamy, A Redder, DE Quevedo arXiv preprint arXiv:1912.07055, 2019 | 2 | 2019 |
| Distributed optimization over time-varying networks with stochastic information delays A Ramaswamy, A Redder, DE Quevedo IEEE Transactions on Automatic Control, 2021 | | 2021 |
| Practical sufficient conditions for convergence of distributed optimisation algorithms over communication networks with interference A Redder, A Ramaswamy, H Karl arXiv preprint arXiv:2105.04230, 2021 | | 2021 |
| A fixed-point implementation of explicit MPC laws MS Darup, A Redder, D Quevedo 2018 Annual American Control Conference (ACC), 749-755, 2018 | | 2018 |
Daniel E. QuevedoQueensland University of TechnologyBestätigte E-Mail-Adresse bei qut.edu.au
