Contact Dr Sabyasachi Mondal
- Tel: +44 (0) 1234 754806
- Email: Sabyasachi.Mondal@cranfield.ac.uk
- ORCID
Background
Dr Sabyasachi Mondal is a lecturer at the Center for Autonomous and Cyber-physical Systems. He obtained his PhD in aerospace engineering in 2018 from the Indian Institute of Science, India. Then, he joined Cranfield University in the same year as a Research Fellow and continued up to Sept 2023. In October 2023, he joined as a lecturer in autonomous systems.
He has been working in aerospace engineering (guidance and control) for over ten years and is involved in teaching and supervision.
Research opportunities
Autonomous operations of Multi-Agent Systems, Constrained optimal Guidance and control design of Aerospace vehicles, Path Planning and obstacle avoidance of aerial robots and drones in agriculture.
Publications
Articles In Journals
- De S, Mondal S, Bhattacharya A, Mondal S, Mukhopadhyay A, .... (2024). Dynamics of Premixed Flames Near Lean and Rich Blowout. Combustion Science and Technology, 196(11)
- Mondal S & Tsourdos A. (2023). Asymmetric Bipartite Consensus of Nonlinear Agents with Communication Noise. Journal of Intelligent & Robotic Systems, 109(1)
- Mondal S & Tsourdos A. (2022). The consensus of non-linear agents under switching topology using dynamic inversion in the presence of communication noise and delay. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 236(2)
- Mondal S & Tsourdos A. (2022). Neuro-adaptive augmented distributed nonlinear dynamic inversion for consensus of nonlinear agents with unknown external disturbance. Scientific Reports, 12(1)
- Mondal S & Tsourdos A. (2022). Bipartite Consensus of Nonlinear Agents in the Presence of Communication Noise. Sensors, 22(6)
- Mondal S & Tsourdos A. (2022). Fault-tolerant consensus of nonlinear agents considering switching topology in the presence of communication noise. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 236(13)
- Mondal S & Tsourdos A. (2022). Consensus Tracking of Nonlinear Agents Using Distributed Nonlinear Dynamic Inversion with Switching Leader-Follower Connection. Sensors, 22(23)
- Mondal S & Tsourdos A. (2021). Two-Dimensional Quantum Genetic Algorithm: Application to Task Allocation Problem. Sensors, 21(4)
- Mondal S, Al-Rubaye S & Tsourdos A. (2021). Handover Prediction for Aircraft Dual Connectivity Using Model Predictive Control. IEEE Access, 9
- Mondal S & Padhi R. (2021). Constrained Quasi-Spectral MPSP With Application to High-Precision Missile Guidance With Path Constraints. Journal of Dynamic Systems, Measurement, and Control, 143(3)
- Mondal S & Tsourdos A. (2020). Autonomous Addition of Agents to an Existing Group Using Genetic Algorithm. Sensors, 20(23)
- Mondal S & Tsourdos A. (2020). Optimal topology for consensus using genetic algorithm. Neurocomputing, 404
- Mondal S & Padhi R. (2020). Correction: Angle-Constrained Terminal Guidance Using Quasi-Spectral Model Predictive Static Programming. Journal of Guidance, Control, and Dynamics, 43(12)
- Mondal S & Padhi R. (2019). Generalized explicit guidance with optimal time-to-go and realistic final velocity. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233(13)
- Mondal S & Padhi R. (2018). Angle-Constrained Terminal Guidance Using Quasi-Spectral Model Predictive Static Programming. Journal of Guidance, Control, and Dynamics, 41(3)
Conference Papers
- Mukherjee A, Mondal S & Tsourdos A. (2024). Autonomous Detect and Avoid algorithm respecting airborne Right of Way rules
- Subies Hueso J, Mondal S & Tsourdos A. (2024). Real-Time Path Planning Considering Static and Dynamic Obstacles
- Tamanakijprasart K, Mondal S & Tsourdos A. (2024). Dynamic Path Planning of UAV in Three-dimensional Complex Environment Based on Interfered Fluid Dynamical System
- Mondal S & Tsourdos A. (2024). Bipartite Consensus of Nonlinear Agents with Actuator Fault
- Subies Hueso J, Mondal S, Tsourdos A & Chadwick A. (2023). Real-Time Collision Avoidance Trajectory Planner Using Generalized Vector Explicit Guidance
- Mondal S, Williamson A, Xu Z & Tsourdos A. (2020). Autonomous Architecture for UAV-based Agricultural Survey
- Xu Z, Petrunin I, Tsourdos A, Sabyasachi M & Williamson A. (2019). Cognitive Communication Scheme for Unmanned Aerial Vehicle Operation
- Williamson A, Mondal S, Xu Z & Tsourdos A. (2019). Autonomous collection of ground truth data by unmanned aerial vehicles instructed using SMS text messages
- Mondal S & Padhi R. (2018). State and Input Constrained Missile Guidance using Spectral Model Predictive Static Programming
- Mondal S, Sadhu S & Talukdar S. (2016). Platform motion disturbances attenuation in a missile seeker subsystem using disturbance observer techniques
- Mondal S & Padhi R. (2015). Selection of optimal time-to-go in generalized vector explicit guidance
- Mondai S & Padhi R. (2015). Formation Flying using GENEX and Differential geometric guidance law
- Mondal S & Padhi R. (2013). Selection of optimal time-to-go in generalized vector explicit guidance
- Mondal S, Sadhu S & Banerjee A. (2013). Platform motion disturbances attenuation in a missile seeker subsystem using Internal Model Control