@report{JRHMA23,author={Jarne, Daniel and Romao, Licio and Hammond, Lewis and Mazo, Manuel and Abate, Alessandro},doi={https://doi.org/10.48550/arXiv.2209.15320},title={Observational Robustness and Invariances in Reinforcement Learning via Lexicographic Objectives},year={2023},}
Journal
Robust Control for Dynamical Systems with Non-Gaussian via Formal Abstractions
Thom Badings, Licio Romao, Alessandro Abate, D. Parker, H. Poonawala, M. Stoelinga, and N. Jensen
@article{BRAPPSJ23,author={Badings, Thom and Romao, Licio and Abate, Alessandro and Parker, D. and Poonawala, H. and Stoelinga, M. and Jensen, N.},doi={https://doi.org/10.1613/jair.1.14253},journal={Journal of Artificial Intelligence Research},pages={341-391},title={Robust Control for Dynamical Systems with Non-Gaussian via Formal Abstractions},volume={76},year={2023},}
Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints
Licio Romao, Kostas Margellos, and Antonis Papachristodoulou
@article{RMP22b,author={Romao, Licio and Margellos, Kostas and Papachristodoulou, Antonis},doi={https://doi.org/10.1016/j.automatica.2022.110601},journal={Automatica},pages={1-9},title={Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints},volume={149},year={2023},}
On the exact feasibility of convex scenario programs with discarded constraints
Licio Romao, Kostas Margellos, and Antonis Papachristodoulou
@article{RPM23,author={Romao, Licio and Margellos, Kostas and Papachristodoulou, Antonis},doi={https://doi.org/10.1109/TAC.2022.3165320},journal={IEEE Transactions on Automatic Control},title={On the exact feasibility of convex scenario programs with discarded constraints},year={2023},}
Subgradient averaging for multi-agent optimisation with different constraint sets
Licio Romao, Kostas Margellos, Giuseppe Notarstefano, and Antonis Papachristodoulou
@article{RMNP21,author={Romao, Licio and Margellos, Kostas and Notarstefano, Giuseppe and Papachristodoulou, Antonis},doi={https://doi.org/10.1016/j.automatica.2021.109738},journal={Automatica},pages={109738},title={Subgradient averaging for multi-agent optimisation with different constraint sets},volume={131},year={2021},}
Distributed Actuator Selection: Achieving Optimality via a Primal-Dual Algorithm
Licio Romao, Kostas Margellos, and Antonis Papachristodoulou
@article{RMP18,author={Romao, Licio and Margellos, Kostas and Papachristodoulou, Antonis},doi={https://doi.org/10.1109/LCSYS.2018.2849611},issue={4},journal={IEEE Control Systems Letters},pages={779-784},publisher={IEEE},title={Distributed Actuator Selection: Achieving Optimality via a Primal-Dual Algorithm},volume={2},year={2018},}
Conferences
Probabilities are not enough: formal controller synthesis for stochastic dynamical systems with epistemic uncertainty
Thom Badings, Licio Romao, Alessandro Abate, and Nils Jansen
In AAAI Conference On Artificial Intelligence , 2023
@inproceedings{BRAJ23a,author={Badings, Thom and Romao, Licio and Abate, Alessandro and Jansen, Nils},doi={https://doi.org/10.48550/arXiv.2210.05989},booktitle={AAAI Conference On Artificial Intelligence },title={Probabilities are not enough: formal controller synthesis for stochastic dynamical systems with epistemic uncertainty},year={2023},}
Inner approximations of stochastic programs for data-driven stochastic barrier function design
Frederik Mathiesen, Licio Romao, Simeon C Calvert, Alessandro Abate, and Luca Laurenti
In 62nd Conference on Decision and Control. To appear, 2023
@inproceedings{MRCAL23,author={Mathiesen, Frederik and Romao, Licio and Calvert, Simeon C and Abate, Alessandro and Laurenti, Luca},booktitle={62nd Conference on Decision and Control. To appear},title={Inner approximations of stochastic programs for data-driven stochastic barrier function design},year={2023},}
Data-driven abstractions via adaptive refinements and a Kantorovich metric
Adrien Banse, Licio Romao, Alessandro Abate, and Raphaël M Jungers
In 62nd Conference on Decision and Control. To appear, 2023
@inproceedings{BRAJ23c,author={Banse, Adrien and Romao, Licio and Abate, Alessandro and Jungers, Raphaël M},booktitle={62nd Conference on Decision and Control. To appear},year={2023},}
Model Reduction of Linear Stochastic Systems with Preservation of sc-LTL Specifications
M H W Engelaar, L Romao, Y Gao, M Lazar, A Abate, and S Haesaert
In 62nd Conference on Decision and Control. To appear, 2023
@inproceedings{ERGLAH23,author={Engelaar, M H W and Romao, L and Gao, Y and Lazar, M and Abate, A and Haesaert, S},booktitle={62nd Conference on Decision and Control. To appear},title={Model Reduction of Linear Stochastic Systems with Preservation of sc-LTL Specifications},year={2023},}
Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics
Luke Rickard, Thom Badings, Licio Romao, Nils Jansen, and Alessandro Abate
In 20th International Conference on Quantitative Evaluation of SysTems (QEST 2023), 2023
@inproceedings{RBRJA23,author={Rickard, Luke and Badings, Thom and Romao, Licio and Jansen, Nils and Abate, Alessandro},booktitle={20th International Conference on Quantitative Evaluation of SysTems (QEST 2023)},doi={https://doi.org/10.48550/arXiv.2212.00679},keywords={Markov jump linear systems,Robust control,safety guarantees,uncertain models},title={Formal Controller Synthesis for Markov Jump Linear Systems with Uncertain Dynamics},year={2023},}
Data-driven memory-dependent abstractions of dynamical systems
Adrien Banse, Licio Romao, Alessandro Abate, and Raphael M Jungers
In 5th Annual Learning for Dynamics and Control Conference, 2023
@inproceedings{BRAJ23b,author={Banse, Adrien and Romao, Licio and Abate, Alessandro and Jungers, Raphael M},doi={https://doi.org/10.48550/arXiv.2212.01926},booktitle={5th Annual Learning for Dynamics and Control Conference},pages={1-12},year={2023},}
Distributionally Robust Optimal and Safe Control of Stochastic Systems via Kernel Conditional Mean Embedding
Licio Romao, Ashish R Hota, and Alessandro Abate
In 62nd Conference on Decision and Control. To appear, 2023
@inproceedings{RHA23,author={Romao, Licio and Hota, Ashish R and Abate, Alessandro},booktitle={62nd Conference on Decision and Control. To appear},title={Distributionally Robust Optimal and Safe Control of Stochastic Systems via Kernel Conditional Mean Embedding},year={2023},}
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples
Licio Romao, Kostas Margellos, and Antonis Papachristodoulou
In 3rd Annual Learning for Dynamics & Control Conference., 2021
@inproceedings{RMP21,author={Romao, Licio and Margellos, Kostas and Papachristodoulou, Antonis},city={Zurich, Switzerland.},booktitle={3rd Annual Learning for Dynamics $\&$ Control Conference.},title={Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples},year={2021},}
Tight generalization guarantees for the sampling and discarding approach to scenario optimization
Licio Romao, Kostas Margellos, and Antonis Papachristodoulou
In 59th IEEE Conference on Decision and Control, 2020
We consider the scenario approach theory to deal with convex optimization programs affected by uncertainty, which is in turn represented by means of scenarios. An approach to deal with such programs while trading feasibility to performance is known as sampling and discarding in the scenario approach literature. Existing bounds on the probability of constraint satisfaction for such programs are not tight. In this paper we use learning theoretic concepts based on the notion of compression to show that for a particular class of convex scenario programs, namely, the so called fully-supported ones, and under a particular scenario discarding scheme, a tight bound can be obtained. We illustrate our developments by means of an example that admits an analytic solution.
@inproceedings{RMP20,author={Romao, Licio and Margellos, Kostas and Papachristodoulou, Antonis},booktitle={59th IEEE Conference on Decision and Control},pages={2228-2233},title={Tight generalization guarantees for the sampling and discarding approach to scenario optimization},year={2020},}
Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets
Licio Romao, Kostas Margellos, Giuseppe Notarstefano, and Antonis Papachristodoulou
@inproceedings{RMNP19,author={Romao, Licio and Margellos, Kostas and Notarstefano, Giuseppe and Papachristodoulou, Antonis},booktitle={58th Conference on Decision and Control},pages={7448-7453},title={Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets},year={2019},}
H-inf filter design with low- and middle-frequency specifications for continuous-time linear systems: LMI conditions derived from two different extensions of the KYP lemma
Licio Romao, Mauricio Oliveira, Pedro Peres, and Ricardo Oliveira
In Proceedings of the American Control Conference, Aug 2018
@inproceedings{RdOPO18,author={Romao, Licio and de Oliveira, Mauricio and Peres, Pedro and Oliveira, Ricardo},booktitle={Proceedings of the American Control Conference},month=aug,pages={4287-4292},publisher={Institute of Electrical and Electronics Engineers Inc.},title={H-inf filter design with low- and middle-frequency specifications for continuous-time linear systems: LMI conditions derived from two different extensions of the KYP lemma},volume={2018-June},year={2018},}
Non-minimal order low-frequency H-inf filtering for uncertain discrete-time systems
Lício B.R.R. Romão, Luciano Frezzatto, Maurício C. Oliveira, Ricardo C.L.F. Oliveira, and Pedro L.D. Peres
@inproceedings{RFdOOP17,author={Romão, Lício B.R.R. and Frezzatto, Luciano and de Oliveira, Maurício C. and Oliveira, Ricardo C.L.F. and Peres, Pedro L.D.},doi={10.1016/j.ifacol.2017.08.1044},issn={24058963},issue={1},booktitle={IFAC-PapersOnLine},keywords={Filtering,Generalized Kalman-Yakubovich-Popov Lemma,Linear time-invariant uncertain systems,Low-frequency Specifications,Robust linear matrix inequalities},month=jul,pages={6477-6482},publisher={Elsevier B.V.},title={Non-minimal order low-frequency H-inf filtering for uncertain discrete-time systems},volume={50},year={2017},}
Projeto de Filtros para Sistemas a Tempo Discreto com Criterio H-infinito em Faixa de Frequencias
Licio B. R. R. Romao, Ricardo C. L. F. Oliveira, and Pedro L. D. Peres
In Simposio Brasileiro de Automacao Inteligente (SBAI), Jul 2017
@inproceedings{ROP17,author={Romao, Licio B. R. R. and Oliveira, Ricardo C. L. F. and Peres, Pedro L. D.},booktitle={Simposio Brasileiro de Automacao Inteligente (SBAI)},title={Projeto de Filtros para Sistemas a Tempo Discreto com Criterio H-infinito em Faixa de Frequencias},year={2017},}
State-feedback and filtering problems using the generalized KYP lemma
Licio Romao, Mauricio Oliveira, Pedro Peres, and Ricardo Oliveira
In Proceedings of the IEEE International Symposium on Computer-Aided Control System Design, Oct 2016
@inproceedings{RdOPO16,author={Romao, Licio and de Oliveira, Mauricio and Peres, Pedro and Oliveira, Ricardo},doi={https://doi.org/10.1109/CACSD.2016.7602552},booktitle={Proceedings of the IEEE International Symposium on Computer-Aided Control System Design},month=oct,pages={1054-1059},title={State-feedback and filtering problems using the generalized KYP lemma},year={2016},}
H-infinity Robust Filter Design for Continuous-Time Linear Systems Using LMIs with a Scalar Parameter
Licio B. R. R. Romao, Pedro L. D. Peres, and Ricardo C. L. F. Oliveira
In XXI Congresso Brasileiro de Automatica, Oct 2016
@inproceedings{RPO16,author={Romao, Licio B. R. R. and Peres, Pedro L. D. and Oliveira, Ricardo C. L. F.},booktitle={XXI Congresso Brasileiro de Automatica},title={H-infinity Robust Filter Design for Continuous-Time Linear Systems Using LMIs with a Scalar Parameter},year={2016},}
Projeto de Filtros Robustos H-2 usando LMIs com Escalares
Licio B. R. R. Romao, Ricardo C. L. F. Oliveira, and Pedro L. D. Peres
In Simposio Brasileiro de Automacao Inteligente (SBAI), Oct 2015
@inproceedings{ROP15,author={Romao, Licio B. R. R. and Oliveira, Ricardo C. L. F. and Peres, Pedro L. D.},booktitle={Simposio Brasileiro de Automacao Inteligente (SBAI)},title={Projeto de Filtros Robustos H-2 usando LMIs com Escalares},year={2015},}
Theses
DPhil (PhD) thesis
Scalable and data-driven approaches to convex programming
@thesis{Romao21,author={Romao, Licio},institution={University of Oxford},title={Scalable and data-driven approaches to convex programming},year={2021},}
Master thesis (In Portuguese)
Projeto de Filtros para Sistemas Lineares com Critérios H-2, H-infinito e H-infinito em Faixas de Frequência por meio de Desigualdades Matriciais
@thesis{Romao17,author={Romao, Licio},institution={Universidade Estadual de Campinas (UNICAMP)},title={Projeto de Filtros para Sistemas Lineares com Critérios H-2, H-infinito e H-infinito em Faixas de Frequência por meio de Desigualdades Matriciais},year={2017},}