Autonomous underwater vehicles : design and practice
"The recent development of advanced processing capabilities and higher yield power supplies means that Autonomous Underwater Vehicle (AUVs) are finding novel and increasingly advanced applications in research, military and commercial settings. This timely book provides a state-of-the-art overvi...
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| Other Authors | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
London, United Kingdom :
The Institution of Engineering and Technology,
2020.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781785617041 1785617044 1785617036 9781785617034 |
| Physical Description | 1 online resource (xx, 570 pages) : illustrations |
Cover
Table of Contents:
- Introduction
- Sensor-based motion control of autonomous underwater vehicles, part I : modeling and low-complexity state estimation
- Sensor-based motion control of autonomous underwater vehicles, part II : robust motion control strategies
- Adaptive-robust control of autonomous underwater vehicle with unknown system dynamics
- AUV navigation : challenges and solutions
- Ultra-endurance AUVs : energy requirements and terrain-aided navigation
- A simplified version of SLAM : data compression and data association for common UUV missions
- Toolchain for autonomous systems and its use in real-life scenarios : from science to defence
- Telemetry for AUVs
- Pressure-tolerant and pressure-neutral systems for AUV
- Optimization of waterspace management and scheduling for multiple unmanned vehicles
- MONSUN : a swarm AUV for environmental monitoring and inspection
- Reconfigurable, adaptable, multi-modality, mobile, wireless, energy-efficient, underwater sensor network of hover-capable AUVs
- Task specification and behavior verification for UUV behavior design
- Advanced AUV fault management
- Designing, building and testing a fleet of novel AUV under the elevated requirements of an XPRIZE competition
- AUV navigation, guidance, and control for geoseismic data acquisition
- Adaptive sampling and energy-efficient navigation in time-varying flows
- Summary, conclusions, and future work.