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Raj Deshmukh
Raj Deshmukh
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Title
Cited by
Cited by
Year
Optimal discrete-time Kalman consensus filter
R Deshmukh, C Kwon, I Hwang
2017 American Control Conference (ACC), 5801-5806, 2017
362017
Incremental-Learning-Based Unsupervised Anomaly Detection Algorithm for Terminal Airspace Operations
R Deshmukh, I Hwang
Journal of Aerospace Information Systems 16 (9), 362-384, 2019
272019
Anomaly Detection Using Temporal Logic Based Learning for Terminal Airspace Operations
R Deshmukh, I Hwang
AIAA Scitech 2019 Forum, 0682, 2019
222019
Data-Driven Precursor Detection Algorithm for Terminal Airspace Operations
R Deshmukh, D Sun, I Hwang
13th USA/Europe Air Traffic Management R&D Seminar, 2019
142019
Distributed state estimation for a stochastic linear hybrid system over a sensor network
R Deshmukh, O Thapliyal, C Kwon, I Hwang
IET Control Theory & Applications 12 (10), 1456-1464, 2018
132018
Temporal logic learning-based anomaly detection in metroplex terminal airspace operations
R Deshmukh, D Sun, K Kim, I Hwang
Transportation Research Part C: Emerging Technologies 126, 103036, 2021
122021
Optimal Kalman filter with information-weighted consensus
S Khan, R Deshmukh, I Hwang
IEEE Transactions on Automatic Control 68 (9), 5624-5629, 2022
102022
Development of data-driven conflict resolution generator for en-route airspace
K Kim, R Deshmukh, I Hwang
Aerospace Science and Technology 114, 106744, 2021
102021
Reactive Temporal Logic-Based Precursor Detection Algorithm for Terminal Airspace Operations
R Deshmukh, D Sun, K Kim, I Hwang
Journal of Air Transportation 28 (4), 155-163, 2020
82020
Optimal Kalman Consensus Filter for Weighted Directed Graphs
S Khan, R Deshmukh, I Hwang
2019 IEEE 58th Conference on Decision and Control (CDC), 7832-7837, 2019
82019
Data-Driven Anomaly and Precursor Detection in Metroplex Airspace Operations
R Deshmukh
Purdue University Graduate School, 2020
72020
Development of Optimal Kalman Consensus Filter and its Application to Distributed Hybrid State Estimation
R Deshmukh
Purdue University, 2017
12017
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