Research
Research Interests
In the AIS Lab, we focus on
Balanced research between theory and applications
Extended research for bridging between conventional scheme and novel design
Enhanced robustness to uncertain, dynamic, and practical environments
The research interests include, not limited to :
- Guidance and Control for Autonomous vehicle systems
- Nonlinear Control Design and Analysis for Flight Dynamics
Automatic Carrier landing/ Collision avoidance/ Path planning and optimization
Reachability Analysis/ Data-driven Analysis and Design
- Guidance and Control of Missiles
Autopilots for boost and gliding phases
Cooperative Guidance Strategy / Control
Trajectory Optimization/ Midcourse and Terminal Guidance Laws
- Information Analytics and Target Tracking
- Intent Inference and estimation
Bayesian Framework for destination inference
Intent-driven target model and improved state estimation
- Sensor fusion and multi-target tracking
- Time Synchronisation of distributed sensor networks for CUAS applications
- Applications
UAS, Drones, Missile, Aerospace vehicles
Counter UAS for future surveillance
- Carrier Landing Algorithm (Landing Guidance + Control Scheme)
- Collision Avoidance Algorithm
Collision Avoidance Algorithm applied to Fixed-wing UAV
Collision Avoidance Algorithm applied to small UAV (hexacopter)
- Rendezvous Guidance Strategy
- Missile Guidance Law Design
Missile guidance for moving target interception
Cooperative Guidance Strategy
- Flight Controller Design
- Reachability / Capturability Analysis
- Intent Inference and estimation
Bayesian Framework for destination inference
Intent-driven target model and improved state estimation
- Sensor fusion and multi-target tracking
- Time Synchronisation of distributed sensor networks for CUAS applications
- SILT (Software-in-the-loop Test) and Simulation Program Development
Ship defense system and Anti-ship missile simulator
media2.mov
Automatic Carrier Landing Simulator
media2.wmvExo-atmospheric vehicle engagement simulator
