A Sliding Mode Observer-based Limit Cycle Oscillation Suppression using a Robust Active Flow Control Technique. - Krishna Bhavithavya Kidambi; Madhur Tiwari; Anu Kossery Jayaprakash; William MacKunis; Vladimir V. Golubev (CCTA, 2022)

Autonomous Satellite Detection and Tracking using Optical Flow. - David Zuehlke; Daniel Posada; Madhur Tiwari; Troy Henderson (CoRR, 2022)

Autonomous Satellite Docking via Adaptive Optimal Output Rregulation: A Reinforcement Learning Approach. - Omar Qasem; Madhur Tiwari; Hector Gutierrez (CoRR, 2023)

SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft Feature Detection. - Trupti Mahendrakar; Ryan T. White; Markus Wilde; Madhur Tiwari (CoRR, 2023)

Adaptive Modified RISE-based Quadrotor Trajectory Tracking with Actuator Uncertainty Compensation. - Krishna Bhavithavya Kidambi; Madhur Tiwari; Emmanuel Ogbanje Ijoga; William MacKunis (CoRR, 2023)

Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems for Control. - Madhur Tiwari; George Nehma; Bethany Lusch (IEEE Control. Syst. Lett., 2023)

Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory. - George Nehma; Madhur Tiwari; Manasvi Lingam (CoRR, 2024)

Leveraging KANs For Enhanced Deep Koopman Operator Discovery. - George Nehma; Madhur Tiwari (CoRR, 2024)

SpY: A Context-Based Approach to Spacecraft Component Detection. - Trupti Mahendrakar; Ryan T. White; Madhur Tiwari (CoRR, 2024)

Unknown Non-Cooperative Spacecraft Characterization with Lightweight Convolutional Neural Networks. - Trupti Mahendrakar; Ryan T. White; Madhur Tiwari; Markus Wilde (J. Aerosp. Inf. Syst., 2024)

End-to-End Imitation Learning for Optimal Asteroid Proximity Operations. - Patrick Quinn; George Nehma; Madhur Tiwari (CoRR, 2025)

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems. - Timothy Jacob Huber; Madhur Tiwari; Camilo A. Riano-Rios (CoRR, 2025)