| Formation Control and Trajectory Tracking of Nonholonomic Mobile Robots A Saradagi, V Muralidharan, V Krishnan, S Menta, AD Mahindrakar IEEE Transactions on Control Systems Technology 26 (6), 2250-2258, 2017 | 51 | 2017 |
| On Direct vs Indirect Data-Driven Predictive Control V Krishnan, F Pasqualetti 2021 60th IEEE Conference on Decision and Control (CDC), 736-741, 2021 | 46 | 2021 |
| Distributed Optimal Transport for the Deployment of Swarms V Krishnan, S Martínez 2018 IEEE Conference on Decision and Control (CDC), 4583-4588, 2018 | 40 | 2018 |
| Distributed Control for Spatial Self-Organization of Multi-Agent Swarms V Krishnan, S Martinez SIAM Journal on Control and Optimization 56 (5), 3642-3667, 2018 | 35 | 2018 |
| Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing V Krishnan, AARA Makdah, F Pasqualetti Advances in Neural Information Processing Systems 33, 10924-10935, 2020 | 19 | 2020 |
| Data-Driven Attack Detection for Linear Systems V Krishnan, F Pasqualetti IEEE Control Systems Letters 5 (2), 671 - 676, 2020 | 19 | 2020 |
| Self-Organization in Multi-Agent Swarms via Distributed Computation of Diffeomorphisms V Krishnan, S Martínez Mathematical Theory of Networks and Systems, 706-713, 2016 | 10 | 2016 |
| A Multiscale Analysis of Multi-Agent Coverage Control Algorithms V Krishnan, S Martínez Automatica 145, 110516, 2022 | 7 | 2022 |
| A Probabilistic Framework for Moving-Horizon Estimation: Stability and Privacy Guarantees V Krishnan, S Martínez IEEE Transactions on Automatic Control 66 (4), 1817-1824, 2020 | 7 | 2020 |
| Identification of Critical Nodes in Large-Scale Spatial Networks V Krishnan, S Martínez IEEE Transactions on Control of Network Systems 6 (2), 842-851, 2018 | 7 | 2018 |
| Behavioral feedback for optimal LQG control AAR Al Makdah, V Krishnan, V Katewa, F Pasqualetti 2022 IEEE 61st Conference on Decision and Control (CDC), 4660-4666, 2022 | 6 | 2022 |
| Data-Driven Feedback Linearization using the Koopman Generator D Gadginmath, V Krishnan, F Pasqualetti arXiv preprint arXiv:2210.05046, 2022 | 6 | 2022 |
| Distributed Online Optimization for Multi-Agent Optimal Transport V Krishnan, S Martínez arXiv preprint arXiv:1804.01572, 2018 | 6 | 2018 |
| Imitation and transfer learning for LQG control T Guo, AAR Al Makdah, V Krishnan, F Pasqualetti IEEE Control Systems Letters, 2023 | 5 | 2023 |
| Identification of Critical Node Clusters for Consensus in Large-Scale Spatial Networks V Krishnan, S Martínez IFAC-PapersOnLine 50 (1), 14156-14161, 2017 | 5 | 2017 |
| Learning Lipschitz Feedback Policies From Expert Demonstrations: Closed-Loop Guarantees, Robustness and Generalization AAR Al Makdah, V Krishnan, F Pasqualetti IEEE Open Journal of Control Systems, 2022 | 3* | 2022 |
| Direct vs Indirect Methods for Behavior-based Attack Detection D Gadginmath, V Krishnan, F Pasqualetti 2022 IEEE 61st Conference on Decision and Control (CDC), 7090-7096, 2022 | 2 | 2022 |
| Large-Scale Multi-Agent Transport: Theory, Algorithms and Analysis V Krishnan University of California, San Diego, 2019 | 2 | 2019 |
| Optimal control of interacting active particles on complex landscapes S Sinha, V Krishnan, L Mahadevan arXiv preprint arXiv:2311.17039, 2023 | | 2023 |
| On Observability and Stability of Moving-Horizon Estimation in a Distributional Framework V Krishnan, S Martinez 2019 American Control Conference (ACC), 459-464, 2019 | | 2019 |
Fabio PasqualettiProfessor, UC RiversideBestätigte E-Mail-Adresse bei ucr.edu
