Connected and automated vehicles in mixed-traffic: Learning human driver behavior for effective on-ramp merging N Venkatesh, VA Le, A Dave, AA Malikopoulos 2023 62nd IEEE Conference on Decision and Control (CDC), 92-97, 2023 | 16 | 2023 |
Decentralized control of two agents with nested accessible information A Dave, N Venkatesh, AA Malikopoulos 2022 American Control Conference (ACC), 3423-3430, 2022 | 12 | 2022 |
On decentralized minimax control with nested subsystems A Dave, N Venkatesh, AA Malikopoulos 2022 American Control Conference (ACC), 3437-3444, 2022 | 11 | 2022 |
Approximate information states for worst-case control and learning in uncertain systems A Dave, N Venkatesh, AA Malikopoulos IEEE Transactions on Automatic Control, 2024 | 10 | 2024 |
Approximate information states for worst-case control of uncertain systems A Dave, N Venkatesh, AA Malikopoulos 2022 IEEE 61st Conference on Decision and Control (CDC), 4945-4950, 2022 | 10 | 2022 |
Worst-case control and learning using partial observations over an infinite time horizon A Dave, I Faros, N Venkatesh, AA Malikopoulos 2023 62nd IEEE Conference on Decision and Control (CDC), 6020-6025, 2023 | 8 | 2023 |
On robust control of partially observed uncertain systems with additive costs A Dave, N Venkatesh, AA Malikopoulos 2023 American Control Conference (ACC), 4639-4644, 2023 | 7 | 2023 |
Stochastic control with distributionally robust constraints for cyber-physical systems vulnerable to attacks N Venkatesh, A Dave, I Faros, AA Malikopoulos European Journal of Control, 101044, 2024 | 3 | 2024 |
On non-stochastic approximate information states for uncertain systems with additive costs A Dave, N Venkatesh, AA Malikopoulos arXiv preprint, 2022 | 2 | 2022 |