Dragicevic, T., Parisio, A., Rodriguez, J., Jones, C., Quevedo, D., Ferrarini, L., Preindl, M., Shafiee, Q., &; Morstyn, T. (2021). Guest Editorial Model Predictive Control in Energy Conversion Systems. IEEE Transactions on Energy Conversion, 36(2), 1311–1312.https://doi.org/10.1109/tec.2021.3076279 
LibreCat: /record/35589
DOI: 10.1109/tec.2021.3076279

Lu, J., &; Quevedo, D. E. (2021). A Jointly Optimal Design of Control and Scheduling in Networked Systems  under Denial-of-Service Attacks. In arXiv:2103.05893.
LibreCat: /record/35588
arXiv: 2103.05893

Heid, S., Weber, D., Bode, H., Hüllermeier, E., &; Wallscheid, O. (2020). OMG: A scalable and flexible simulation and testing environment toolbox for intelligent microgrid control. Journal of Open Source Software, 5(54), 2435.
LibreCat: /record/29649

Lu, J., Leong, A. S., &; Quevedo, D. E. (2020). Optimal eventtriggered transmission scheduling for privacypreserving wireless state estimation. International Journal of Robust and Nonlinear Control, 30(11), 4205–4224.https://doi.org/10.1002/rnc.4910 
LibreCat: /record/35585
DOI: 10.1002/rnc.4910

Noroozi, N., Jackson, R., Quevedo, D. E., Wirth, F. R., &; Findeisen, R. (2020). On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions. 2019 IEEE 58th Conference on Decision and Control (CDC).https://doi.org/10.1109/cdc40024.2019.9030178 
LibreCat: /record/42073
DOI: 10.1109/cdc40024.2019.9030178

Ding, K., Ren, X., Quevedo, D. E., Dey, S., &; Shi, L. (2020). Defensive deception against reactive jamming attacks in remote state estimation. Automatica, 113.
LibreCat: /record/42074

Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., &; Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica.https://doi.org/10.1016/j.automatica.2019.108759 
LibreCat: /record/15741
DOI: 10.1016/j.automatica.2019.108759

Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., &; Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica, 113, Article 108759.https://doi.org/10.1016/j.automatica.2019.108759 
LibreCat: /record/35583
DOI: 10.1016/j.automatica.2019.108759

Ding, K., Ren, X., Quevedo, D. E., Dey, S., &; Shi, L. (2019). Defensive deception against reactive jamming attacks in remote state estimation. Automatica, 113, Article 108680.https://doi.org/10.1016/j.automatica.2019.108680 
LibreCat: /record/35584
DOI: 10.1016/j.automatica.2019.108680

Guo, Z., Shi, D., Quevedo, D. E., &; Shi, L. (2019). Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach. Trans. Signal Processing, 67(1), 194–207.
LibreCat: /record/42220

Mishra, P. K., Chatterjee, D., &; Quevedo, D. E. (2018). Sparse and constrained stochastic predictive control for networked systems. Automatica, 87(1), 40–51.
LibreCat: /record/42214

L\rquote opez, A. M., Quevedo, D. E., Aguilera, R. P., Geyer, T., &; Oikonomou, N. (2018). Limitations and Accuracy of a Continuous Reduced-Order Model for Modular Multilevel Converters. Trans. Power Electron., 33(7), 6292–6303.
LibreCat: /record/42216

Demirel, B., Ghadimi, E., Quevedo, D. E., &; Johansson, M. (2018). Optimal control of linear systems with limited control actions: threshold-based event-triggered control. Trans. Contr. Network Syst., 5(3), 1275–1286.
LibreCat: /record/42219

Demirel, B., Ramaswamy, A., Quevedo, D. E., &; Karl, H. (2018). DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling. IEEE Contr. Syst. Lett., 2(4), 737–742.
LibreCat: /record/42218

Leong, A., Dey, S., &; Quevedo, D. E. (2018). Transmission scheduling for remote state estimation and control with an energy harvesting sensor. Automatica, 91(5), 54–60.
LibreCat: /record/42217

Liu, S., Xie, L., &; Quevedo, D. E. (2018). Event-Triggered Quantized Communication-Based Distributed Convex Optimization. Trans. Contr. Network Syst., 5(1), 167–178.
LibreCat: /record/42215

Li, Y., Quevedo, D. E., Dey, S., &; Shi, L. (2017). SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach. Trans. Contr. Network Syst., 4(3), 632–642.
LibreCat: /record/42212

Cardoso de Castro, N., Quevedo, D. E., Garin, F., &; Canudas-de-Wit, C. (2017). Energy-Aware Radio Chip Management for Wireless Control. Trans. Contr. Syst. Technol., 25(6), 2121–2134.
LibreCat: /record/42213

Dolz, D., Quevedo, D. E., Peñarocha, I., Leong, A., &; Sanchis, R. (2017). Co-design of jump estimators and transmission policies for wireless multi-hop networks with fading channels. Automatica, 81(7), 68–74.
LibreCat: /record/42208

Li, Y., Zhang, F., Quevedo, D. E., Lau, V., Dey, S., &; Shi, L. (2017). Power Control of an Energy Harvesting Sensor for Remote State Estimation.  Trans. Automat. Contr., 62(1), 277–290.
LibreCat: /record/42206