Teodoro Alamo, Pablo Millán, Daniel G. Reina, Victor M. Preciado, Giulia Giordano, "Challenges and Future Directions in Pandemic Control", Vol. 6 (2022), pp. 722-727, DOI: 10.1109/LCSYS.2021.3085700
Manfredi Maggiore, "On The Teaching of Nonlinear Control: Challenges and Ideas", Vol. 7 (2023), pp. 538-544, DOI: 10.1109/LCSYS.2022.3200913
Mengbin Ye, Brian D. O. Anderson, "Competitive Epidemic Spreading Over Networks", Vol. 7 (2023), pp. 545-552, DOI: 10.1109/LCSYS.2022.3199165
Florian Dörfler, Zhiyu He, Giuseppe Belgioioso, Saverio Bolognani, John Lygeros, Michael Muehlebach, "Toward a Systems Theory of Algorithms", Vol. 8 (2024), pp. 1198 - 1210, DOI: 10.1109/LCSYS.2024.3406943
Alexander Davydov, Francesco Bullo, "Perspectives on Contractivity in Control, Optimization, and Learning", Vol. 8 (2024), pp. 2087 - 2098, DOI: 10.1109/LCSYS.2024.3436127
Survey Paper:
Mario Sznaier, "Control Oriented Learning in the Era of Big Data", Vol. 5, Issue 6 (December 2021), pp. 1855-1867, DOI: 10.1109/LCSYS.2020.3045664
Yongping Pan, Tian Shi, "Adaptive Estimation and Control With Online Data Memory: A Historical Perspective", Vol. 8 (2024), pp. 267-278, DOI: 10.1109/LCSYS.2024.3364588
