Screen LibraryRemote sensing and actuation using networked unmanned vehicles
"Unmanned systems and robotics technologies have become very popular recently owing to their ability to replace human beings in dangerous, tedious, or repetitious jobs. This book fill the gap in the field between research and real-world applications, providing scientists and engineers with esse...
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| Literature type: | Electronic eBook |
| Language: | English |
| Series: |
IEEE Press series on systems science and engineering
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| Online Access: |
http://onlinelibrary.wiley.com/book/10.1002/9781118377178 |
| Summary: |
"Unmanned systems and robotics technologies have become very popular recently owing to their ability to replace human beings in dangerous, tedious, or repetitious jobs. This book fill the gap in the field between research and real-world applications, providing scientists and engineers with essential information on how to design and employ networked unmanned vehicles for remote sensing and distributed control purposes. Target scenarios include environmental or agricultural applications such as river/reservoir surveillance, wind profiling measurement, and monitoring/control of chemical leaks"- "This book will stimulate other researchers in this field to work on more practical questions and provide some insights to industrial engineers who want to use unmanned systems for their application problems"-- |
| Carrier Form: | 1 online resource (xxviii, 198 pages) : illustrations (some color). |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781118377178 (electronic bk.) 1118377176 (electronic bk.) 9781118377185 (electronic bk.) 1118377184 (electronic bk.) 9781283941273 (MyiLibrary) 1283941279 (MyiLibrary) |
| Index Number: | GB400 |
| CLC: | X87 |
| Contents: |
AggieAir: A Low-Cost Unmanned Aircraft System for Remote Sensing -- Attitude Estimation Using Low-Cost IMUs for Small Unmanned Aerial Vehicles -- Lateral Channel Fractional Order Flight Controller Design for a Small UAV -- Remote Sensing Using Single Unmanned Aerial Vehicle -- Cooperative Remote Sensing Using Multiple Unmanned Vehicles -- Diffusion Control Using Mobile Sensor and Actuator Networks -- Conclusions and Future Research Suggestions. |