| Feedback stabilization using Koopman operator B Huang, X Ma, U Vaidya 2018 IEEE Conference on Decision and Control (CDC), 6434-6439, 2018 | 66 | 2018 |
| On robust computation of koopman operator and prediction in random dynamical systems S Sinha, B Huang, U Vaidya Journal of Nonlinear Science 30 (5), 2057-2090, 2020 | 53 | 2020 |
| Data-driven approximation of transfer operators: Naturally structured dynamic mode decomposition B Huang, U Vaidya 2018 Annual American Control Conference (ACC), 5659-5664, 2018 | 52 | 2018 |
| Data-driven nonlinear stabilization using koopman operator B Huang, X Ma, U Vaidya The Koopman Operator in Systems and Control: Concepts, Methodologies, and …, 2020 | 40 | 2020 |
| Robust approximation of koopman operator and prediction in random dynamical systems S Sinha, B Huang, U Vaidya 2018 Annual American Control Conference (ACC), 5491-5496, 2018 | 37 | 2018 |
| Optimal quadratic regulation of nonlinear system using koopman operator X Ma, B Huang, U Vaidya 2019 American Control Conference (ACC), 4911-4916, 2019 | 35 | 2019 |
| A convex approach to data-driven optimal control via Perron–Frobenius and Koopman operators B Huang, U Vaidya IEEE Transactions on Automatic Control 67 (9), 4778-4785, 2022 | 31 | 2022 |
| Optimizing pumped storage hydropower for multiple grid services X Ma, D Wu, D Wang, B Huang, K Desomber, T Fu, M Weimar Journal of Energy Storage 51, 104440, 2022 | 23 | 2022 |
| Data-driven identification and prediction of power system dynamics using linear operators P Sharma, B Huang, V Ajjarapu, U Vaidya 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 19 | 2019 |
| Data driven exploration of traffic network system dynamics using high resolution probe data C Liu, B Huang, M Zhao, S Sarkar, U Vaidya, A Sharma 2016 IEEE 55th Conference on Decision and Control (CDC), 7629-7634, 2016 | 15 | 2016 |
| Deep Koopman learning of nonlinear time-varying systems W Hao, B Huang, W Pan, D Wu, S Mou Automatica 159, 111372, 2024 | 10 | 2024 |
| A convex approach to stochastic optimal control using linear operators U Vaidya, B Huang 2021 American Control Conference (ACC), 1306-1311, 2021 | 5 | 2021 |
| Data-driven optimal control using transfer operators AK Das, B Huang, U Vaidya 2018 IEEE Conference on Decision and Control (CDC), 3223-3228, 2018 | 5 | 2018 |
| Data-driven modeling and control of dynamical systems using Koopman and Perron-Frobenius operators B Huang Iowa State University, 2020 | 4 | 2020 |
| Data-driven optimal control using perron-frobenius operator AK Das, B Huang, U Vaidya arXiv preprint arXiv:1806.03649, 2018 | 4 | 2018 |
| Avista’s Shared Energy Economy Model Pilot: A Techno-economic Assessment D Wu, S Huang, K Oikonomou, R Hu, B Huang, CK Vartanian, X Ma, ... Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2022 | 3 | 2022 |
| Sensor enabled data-driven predictive analytics for modeling and control with high penetration of DERs in distribution systems V Ajjarapu, U Vaidya, M Govindarasu, V Krishnan, ARR Matavalam, ... Iowa State Univ., Ames, IA (United States); Clemson Univ., SC (United States …, 2021 | 3 | 2021 |
| Multi-Objective Control Co-design Using Graph-Based Optimization for Offshore Wind Farm Grid Integration H Sharma, W Wang, B Huang, T Ramachandran, V Adetola arXiv preprint arXiv:2406.10365, 2024 | 1 | 2024 |
| Stochastic scheduling for commercial building cooling systems: considering uncertainty in zone temperature prediction B Huang, S Huang, X Ma, S Katipamula, D Wu, R Lutes Applied Energy 346, 121367, 2023 | 1 | 2023 |
| Simulation-based assessment on stochastic load scheduling for building cooling systems S Huang, B Huang, S Katipamula, X Ma Science and Technology for the Built Environment 29 (2), 212-222, 2023 | 1 | 2023 |
Umesh VaidyaProfessorBestätigte E-Mail-Adresse bei clemson.edu
