Hypersonic vehicles (HSVs) represent a promising and cost-effective method for feasible access to space and high-speed civil transportation. Much effort has been invested into developing suitable control systems for HSVs. Because of their particular dynamics characteristics, such as strong nonlinearity, high flight altitude, large flight envelope, extreme range of operating conditions, parameter variations and external disturbances, control design for HSV presents a significant challenge and receives much attention.
This special issue aims at exhibiting the latest research achievements, findings and ideas in hypersonic vehicles that benefit from intelligent algorithms and methods.
Suitable topics include but are not limited to:
- Hypersonic vehicle control and navigation
- Operation control and planning
- Optimisation
- Emergent behaviours
- Learning algorithms
- Evolutionary algorithms
- Fuzzy logic and neural networks
- Modelling and analysis
- Simulation tools and hardware
- Experiments and field trials
- Pattern recognition
- Computer vision
- Machine learning
Manuscript due: 15 February, 2012
First round of reviews: 15 March 2012
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