Privacy preservation in a continuous-time static average consensus algorithm over directed graphs N Rezazadeh, SS Kia Proceedings of the American Control Conference, 2018 | 39 | 2018 |
A sub-modular receding horizon solution for mobile multi-agent persistent monitoring N Rezazadeh, SS Kia Automatica, 2019 | 22 | 2019 |
A sub-modular receding horizon approach to persistent monitoring for a group of mobile agents over an urban area N Rezazadeh, SS Kia Proceedings of Distributed Estimation and Control in Networked Systems, 2019 | 21 | 2019 |
Distributed Strategy Selection: A Submodular Set Function Maximization Approach N Rezazadeh, S S. Kia Automatica, 2023 | 15 | 2023 |
Privacy preservation in continuous-time average consensus algorithm via deterministic additive perturbation signals* N Rezazadeh, SS Kia https://arxiv.org/abs/1904.05286, 2021 | 11* | 2021 |
Learning Contraction Policies from Offline Data N Rezazadeh, M Kolarich, S S. Kia, N Mehr IEEE Robotics and Automation Letters, 2022 | 5 | 2022 |
A study of privacy preservation in average consensus algorithm via deterministic obfuscation signals N Rezazadeh, SS Kia IEEE Transactions on Control of Network Systems, 2023 | 4 | 2023 |
Multi-Agent Maximization of a Monotone Submodular Function via Maximum Consensus N Rezazadeh, SS Kia 60th IEEE Conference on Decision and Control (CDC), 2020 | 4 | 2020 |
Distributed submodular maximization: trading performance for privacy N Rezazadeh, S S. Kia 61th IEEE Conference on Decision and Control (CDC), 2022 | 1 | 2022 |
Distributed Strategy Selection over Graphs: Optimality and Privacy N Rezazadeh University of California, Irvine, 2022 | | 2022 |
System Identification and Adaptive Controller Design N Rezazadeh https://sites.uci.edu/nrezazad/files/2021/01/System-ID-and-Adaptive-tracker …, 2015 | | 2015 |