Contact Dr Dmitry Ignatyev
- Tel: +44 (0) 1234 758248
- Email: D.Ignatyev@cranfield.ac.uk
- ORCID
- Google Scholar
Areas of expertise
- Aeronautical Systems
- Autonomous Systems
- Computing, Simulation & Modelling
- Flight Physics
- Off-Road Vehicle Engineering
Background
He received an MSc on Applied Mathematics and Physics from Moscow Institute of Physics and Technology (MIPT) in 2008, and a PhD on Physics and Mathematics from MIPT in 2013. He has published over 30 journal and conference papers on aerodynamics, flight dynamics and control.
Before joining Cranfield, Dr Ignatyev worked for eight years as a researcher at the Central Aerohydrodynamic Institute n.a. Zhukovsky, which is a leading aeronautics research institution in Russia.
He was involved in multiple academic and industrial research programs. His research background includes aerodynamics, flight dynamics and control.
Current activities
Dr Ignatyev's current research is focused on an increase in levels of performance, safety and autonomy of vehicles by the mean of the following activities:
- developing novel and improving existing advanced control strategies;
- improving aerodynamic and flight dynamics performance of aircraft via wind tunnel and flight testing;
- identification and modelling of vehicle dynamics.
He is currently participating in the European research project INCEPTION - Incremental Nonlinear flight Control supplemented with Envelope ProtecTION (https://inception-h2020.tekever.com/), which is seeking the development of fault-tolerant Automatic Flight Control System for fixed-wing aircraft allying incremental control strategies, adaptive augmentation and envelope protection.
Dr Ignatyev is actively involved in teaching activities of the centre and currently a leader of the "Modelling and Simulation" module within the Autonomous Vehicles Dynamics and Control course.
Clients
- Lockheed Martin Corporation
- Boeing Co
- QinetiQ Group PLC
- SAAB AB
Publications
Articles In Journals
- Ul Islam Q, Khozaei F, Salah Al Barhoumi EM, Baig I & Ignatyev D. (2025). Advancing autonomous SLAM systems: Integrating YOLO object detection and enhanced loop closure techniques for robust environment mapping. Robotics and Autonomous Systems, 185
- Youhanna V, Felicetti L & Ignatyev DI. (2025). Systematic methodology for the preliminary design of future rotary VTOL martian aerobots. Acta Astronautica, 231
- Lee H-I, Ignatyev D, Shin H-S & Tsourdos A. (2024). Project-based learning course design for multi-agent autonomy using quadrotors. IFAC-PapersOnLine, 58(16)
- Kartal MR, Ignatyev DI & Zolotas A. (2024). Sparse online Gaussian process adaptive control of unmanned aerial vehicle with slung payload. Drones, 8(11)
- Castiblanco Quintero JM, Garcia-Nieto S, Simarro R & Ignatyev DI. (2024). Improving racing drones flight analysis: a data-driven approach using motion capture systems. Drones, 8(12)
- Dessena G, Civera M, Pontillo A, Ignatyev DI, Whidborne JF, .... (2024). Noise-robust modal parameter identification and damage assessment for aero-structures. Aircraft Engineering and Aerospace Technology, 96(11)
- Grehan J, Ignatyev D & Zolotas A. (2023). Fault detection in aircraft flight control actuators using support vector machines. Machines, 11(2)
- Ignatyev DI, Shin H & Tsourdos A. (2023). Sparse online Gaussian process adaptation for incremental backstepping flight control. Aerospace Science and Technology, 136(May)
- Dessena G, Civera M, Zanotti Fragonara L, Ignatyev D & Whidborne JF. (2023). A Loewner-based system identification and structural health monitoring approach for mechanical systems. Structural Control and Health Monitoring, 2023(1)
- Beyçimen S, Ignatyev D & Zolotas A. (2023). A comprehensive survey of unmanned ground vehicle terrain traversability for unstructured environments and sensor technology insights. Engineering Science and Technology, an International Journal, 47(November)
- Dessena G, Civera M, Ignatyev D, Whidborne JF, Zanotti Fragonara L, .... (2023). The accuracy and computational efficiency of the Loewner framework for the system identification of mechanical systems. Aerospace, 10(6)
- Dessena G, Ignatyev DI, Whidborne JF & Zanotti Fragonara L. (2023). A global-local meta-modelling technique for model updating. Computer Methods in Applied Mechanics and Engineering, 418(January)
- Li D, Tsourdos A, Wang Z & Ignatyev DI. (2022). Nonlinear analysis for wing-rock system with adaptive control. Journal of Guidance, Control, and Dynamics, 45(11)
- Dessena G, Ignatyev DI, Whidborne JF, Pontillo A & Zanotti Fragonara L. (2022). Ground vibration testing of a flexible wing: a benchmark and case study. Aerospace, 9(8)
- Li D, Ignatyev D, Tsourdos A & Wang Z. (2022). Estimation of non-symmetric and unbounded region of attraction using shifted shape function and R-composition. ISA Transactions, 136(May)
- Strawa N, Ignatyev DI, Zolotas A & Tsourdos A. (2021). On-line learning and updating unmanned tracked vehicle dynamics. Electronics, 10(2)
- Ignatyev DI, Shin H & Tsourdos A. (2020). Two-layer adaptive augmentation for incremental backstepping flight control of transport aircraft in uncertain conditions. Aerospace Science and Technology, 105
- Ignatyev DI, Khrabrov AN, Kortukova AI, Alieva DA, Sidoryuk ME, .... (2020). Interplay of unsteady aerodynamics and flight dynamics of transport aircraft in icing conditions. Aerospace Science and Technology, 104
- Ignatyev DI, Shin H & Tsourdos A. (2018). Bayesian calibration for multiple source regression model. Neurocomputing, 318
- Ignatyev D & Khrabrov A. (2018). Experimental Study and Neural Network Modeling of Aerodynamic Characteristics of Canard Aircraft at High Angles of Attack. Aerospace, 5(1)
- Ignatyev DI, Sidoryuk ME, Kolinko KA & Khrabrov AN. (2017). Dynamic Rig for Validation of Control Algorithms at High Angles of Attack. Journal of Aircraft, 54(5)
- Ignatyev DI & Khrabrov AN. (2015). Neural network modeling of unsteady aerodynamic characteristics at high angles of attack. Aerospace Science and Technology, 41
- Khrabrov AN, Kolinko KA, Vinogradov YA, Zhuk AN, Grishin II, .... (2011). Experimental investigation and mathematical simulation of unsteady aerodynamic characteristics of a transonic cruiser model at small velocities in a wide range of angles of attack. Visualization of Mechanical Processes, 1(2)
- Ignatyev DI & Khrabrov AN. (2011). APPLICATION OF NEURAL NETWORKS IN THE SIMULATION OF DYNAMIC EFFECTS OF CANARD AIRCRAFT AERODYNAMICS. TsAGI Science Journal, 42(6)
- Vinogradov YA, Zhuk AN, Kolinko KA & Khrabrov AN. (2011). MATHEMATICAL SIMULATION OF DYNAMIC EFFECTS OF UNSTEADY AERODYNAMICS DUE TO CANARD FLOW SEPARATION DELAY. TsAGI Science Journal, 42(5)