Contact Dr Namhoon Cho
- Tel: +44 (0) 1234 754146
- Email: N.Cho@cranfield.ac.uk
- ORCID
- Google Scholar
- ResearchGate
Areas of expertise
- Aeronautical Systems
- Autonomous Systems
- Computing, Simulation & Modelling
- Defence Systems Engineering
- Flight Physics
- Mechatronics & Advanced Controls
- Operational Analysis and Simulation
- Space Systems
- Weapons Engineering
Background
Namhoon Cho is Lecturer in Control and Optimisation in the Centre for Assured and Connected Autonomy, Faculty of Engineering and Applied Sciences, Cranfield University, United Kingdom, since November 2024. He received his BSc and PhD degrees in Mechanical and Aerospace Engineering from Seoul National University, South Korea, in August 2012 and February 2017, respectively. Previously, he was a research fellow at Cranfield University from January 2021 to November 2024 with the award of a Cranfield 75th Anniversary Fellowship to pursue research on AI for Exploitation of Data-Driven Approach in Control for Aerospace Systems. He was a senior researcher in the 1st R&D Institute, Agency for Defense Development, South Korea, from March 2019 to December 2020, where he was involved in research and development of guidance and control systems for missiles and developed design tools based on optimisation techniques. He was a research fellow in the Department of Mechanical and Aerospace Engineering, Seoul National University, South Korea, from March 2017 to February 2019. He develops constructive methodologies for the design and analysis of control and estimation systems, with a particular emphasis on autonomous aerospace vehicles. His research interests include coherent integration of learning and control on the basis of optimisation, robust adaptive control methods based on online model learning, applications of machine learning algorithms to problems in control and estimation, data-driven safe control frameworks, unified frameworks for automated design of optimal guidance and control systems, and online trajectory optimisation.
Research opportunities
Recipient of 75th Anniversary Research Fellowship at Cranfield University, seeking new possibilities of emerging technological paradigms when combined with the understandings provided by control theory.
As a researcher in autonomy and control primarily for aerospace systems, I lead fundamental and applied research to develop constructive design frameworks for control and machine learning algorithms, which will potentially enable scalable automated design of intelligent controllers. Since mathematical optimisation lays the theoretical as well as methodological foundation of both control and machine learning, this work particularly focuses on their systematic integration by formulating suitable optimisation problems and by developing problem-tailored optimisation solvers. The core components of my research include: (1) Studying the foundations of optimisation in control and deep learning, (2) Establishing unifying frameworks of convex optimisation algorithms, (3) Developing algorithms for real-time adaptation of control systems, (4) Investigating principled approaches to utilise deep neural network models for robust control.
Robust adaptive control
Convex optimisation
Machine learning for control and estimation
Optimisation for deep learning
Machine learning for optimisation
Guidance, navigation, and control (GNC)
Safe learning and control
Control design automation
Applications to autonomous aerospace systems
Current activities
EPSRC IAA ECR Exploratory Impact Award: Implementation of Advanced Adaptive Control Algorithms for Aerospace Applications | March 2024 - December 2024 | PI | Research project funded by Cranfield University block funding
Flight Control Technologies - Control Allocation Algorithms: Understanding the State of the Art and Future Development Opportunities | September 2022 - November 2022 | Co-I | Research project funded by BAE Systems
AI for Exploitation of Data-Driven Approach in Control for Aerospace Systems | January 2021 - January 2024 | PI | Main research programme for the Cranfield 75th Anniversary Fellowship
Clients
- BAE Systems PLC
Publications
Articles In Journals
- Wang P, Lee C-H, Cho N & Wie B. (2025). Generalized time-to-go inversion guidance with impact time and angle constraints. Journal of Guidance, Control, and Dynamics, 48(3)
- Cho N, Shin H-S, Tsourdos A & Amato D. (2024). Online Corrections to Neural Policy Guidance for Pinpoint Powered Descent. Journal of Guidance, Control, and Dynamics, 47(5)
- Cho N. (2023). Three-dimensional guidance method with course modification for altitude shaping in endoatmospheric interception. IEEE Transactions on Aerospace and Electronic Systems, 59(6)
- Cho N & Lee H-I. (2023). Approximation of achievable robustness limit based on sensitivity inversion. Journal of Guidance, Control, and Dynamics, 47(1)
- Lee S, Kim J, Kim Y & Cho N. (2023). Analytic approach to impact time guidance with look angle constraint using exact time-to-go solution. Journal of Aerospace Engineering, 37(2)
- Cho N, Park J, Kim Y & Shin H. (2022). Unified control parameterization approach for finite-horizon feedback control with trajectory shaping. IEEE Transactions on Aerospace and Electronic Systems, 58(5)
- Cho N, Kim J, Lee S & Kim Y. (2022). Generalized analysis of biased proportional navigation guidance with fractional power error feedback. Journal of Guidance, Control, and Dynamics, 45(9)
- Kim Y, Cho N, Park J & Kim Y. (2022). Online trajectory replan for gliding vehicle considering terminal velocity constraint. IEEE Transactions on Aerospace and Electronic Systems, 59(2)
- Kim S-H, Lee H, Cho N & Kim Y. (2022). Data-efficient active weighting algorithm for composite adaptive control systems. IEEE Transactions on Automatic Control, 68(5)
- Cho N, Lee S, Shin H & Kim T-H. (2022). Three-dimensional biased proportional navigation guidance based on spatial rotation of predicted final velocity. IEEE Transactions on Aerospace and Electronic Systems, 59(2)
- Cho N & Kim Y. (2021). Quadratic Optimization of Initial State for Dynamic Controller in Linear Systems. IEEE Transactions on Aerospace and Electronic Systems, 57(2)
- Cho N & Lee S. (2021). Look-angle-constrained control of arrival time with exact knowledge of time-to-go. Journal of Guidance, Control, and Dynamics, 44(10)
- Kim B, Kim Y-W, Cho N & Lee C-H. (2021). Collision-geometry-based optimal guidance for high-speed target. Aerospace Science and Technology, 115(August)
- Kim Y, Cho N, Park J & Kim Y. (2021). Design framework for optimizing waypoints of vehicle trajectory considering terminal velocity and impact angle constraints. Engineering Optimization, 54(8)
- Lee S & Cho N. (2021). Inverse optimality of pure proportional navigation guidance for stationary targets. Journal of Guidance, Control, and Dynamics, 44(11)
- Lee S, Cho N & Shin H. (2021). Analysis of guidance laws with non-monotonic line-of-sight rate convergence. IEEE Transactions on Aerospace and Electronic Systems, 58(2)
- Cho N & Lee Y-I. (2021). Guidance Synthesis with Separate Impact Point Prediction Considering Speed Variations. Journal of Guidance, Control, and Dynamics, 44(2)
- Kim J, Cho N & Kim Y. (2021). Field-of-view-constrained impact angle control guidance with error convergence before interception considering speed changes. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 235(2)
- Park J, Cho N & Lee S. (2020). Reactive Collision Avoidance Algorithm for UAV Using Bounding Tube Against Multiple Moving Obstacles. IEEE Access, 8
- Cho N, Lee S, Kim J, Kim Y, Park S, .... (2020). Wind Compensation Framework for Unpowered Aircraft Using Online Waypoint Correction. IEEE Transactions on Aerospace and Electronic Systems, 56(1)
- Park J & Cho N. (2020). Collision Avoidance of Hexacopter UAV Based on LiDAR Data in Dynamic Environment. Remote Sensing, 12(6)
- Lee S, Cho N & Kim Y. (2020). Correction: Impact-Time-Control Guidance Strategy with a Composite Structure Considering the Seeker’s Field-of-View Constraint. Journal of Guidance, Control, and Dynamics, 43(10)
- Cho N, Kim Y & Lee C-H. (2020). Schwarz Inequality Method for Weighted Minimum Effort Terminal Control of Multidimensional Systems. Journal of Guidance, Control, and Dynamics, 43(10)
- Lee S, Cho N & Kim Y. (2020). Impact-Time-Control Guidance Strategy with a Composite Structure Considering the Seeker’s Field-of-View Constraint. Journal of Guidance, Control, and Dynamics, 43(8)
- Cho N, Kim Y & Shin H. (2019). Generalized formulation of linear nonquadratic weighted optimal error shaping guidance laws. Journal of Guidance, Control, and Dynamics, 43(6)
- Lee J, Cho N & Kim Y. (2019). Analysis of Missile Longitudinal Autopilot Based on the State-Dependent Riccati Equation Method. Journal of Guidance, Control, and Dynamics, 42(10)
- Lee S, Ann S, Cho N & Kim Y. (2019). Capturability of Guidance Laws for Interception of Nonmaneuvering Target with Field-of-View Limit. Journal of Guidance, Control, and Dynamics, 42(4)
- Ann S, Cho N, Kim Y, Shin S & Ahn J. (2018). Response surface modeling-based analysis on launch vehicle capability. Advances in Space Research, 62(12)
- Cho N, Shin H, Kim Y & Tsourdos A. (2017). Composite model reference adaptive control with parameter convergence under finite excitation. IEEE Transactions on Automatic Control, 63(3)
- Hong Y, Cho N, Kim Y & Choi B. (2017). Multiobjective Optimization for Aircraft Arrival Sequencing and Scheduling. Journal of Air Transportation, 25(4)
- Cho N & Kim Y. (2016). Optimality of augmented ideal proportional navigation for maneuvering target interception. IEEE Transactions on Aerospace and Electronic Systems, 52(2)
- Cho N & Kim Y. (2016). Modified Pure Proportional Navigation Guidance Law for Impact Time Control. Journal of Guidance, Control, and Dynamics, 39(4)
- Park C, Cho N, Lee K & Kim Y. (2015). Formation Flight of Multiple UAVs via Onboard Sensor Information Sharing. Sensors, 15(7)
- Cho N, Kim Y & Park S. (2015). Three-Dimensional Nonlinear Differential Geometric Path-Following Guidance Law. Journal of Guidance, Control, and Dynamics, 38(12)
Conference Papers
- Cho N, Shin H, Kim Y & Tsourdos A. (2024). Composite model reference adaptive control under finite excitation with unstructured uncertainties
- Cho N, Lee T & Shin H-S. (2024). Recursive least squares with log-determinant divergence regularisation for online inertia identification
- Cho N, Min Y, Shin H-S & Azizan N. (2024). Π-ORFit: One-Pass Learning with Bregman Projection
- Cho N & Shin H-S. (2024). A passivity-based method for accelerated convex optimisation
- Cho N, Kim Y, Shin H & Kim Y. (2022). Guidance of gliding vehicles with energy management based on approximate prediction of speed
- Cho N. (2021). Nonlinear optimal missile guidance for stationary target interception with pendulum motion perspective
- Cho N, Kim J & Lee S. (2020). Feasible Initial Conditions for Bias Proportional Navigation Guidance Laws Under Look Angle Constraints
- Kim J, Cho N & Kim Y. (2019). Field-of-View Constrained Impact Angle Control Guidance Guaranteeing Error Convergence before Interception
- Cho N, Lee J & Kim Y. (2018). Analytic Solution of Continuous-Time Algebraic Riccati Equation for Two-Dimensional Systems and Its Application to Wing-Rock Regulation
- Song H, Lee S, Cho N & Kim Y. (2018). Cooperative Defense Strategy for Active Aircraft Protection Considering Launch Time of Defense Missile
- Lee S, Cho N & Kim Y. (2018). Missile Guidance Based on Tracking of Predicted Target Trajectory
- Cho N, Kim Y & Shin H-S. (2017). Generalization of Linearly Parametrized Trajectory Shaping Guidance Laws
- Cho N & Kim Y. (2016). Basis integral concurrent learning model reference adaptive control
- Cho N & Kim Y. (2016). Approximate three-dimensional path generation for UAV path-following
- Cho N & Kim Y. (2015). Lyapunov-Based Three-Dimensional Nonlinear Path-Following Guidance Law
- Cho N, Kim Y & Park S. (2014). Three-Dimensional Nonlinear Path-Following Guidance Law Based on Differential Geometry