Time-Critical Cooperative Control of Autonomous Air Vehicles presents, in an easy-to-read style, the latest research conducted in the industry, while also introducing a set of novel ideas that illuminate a new approach to problem-solving. The book is virtually self-contained, giving the reader a complete, integrated presentation of the different concepts, mathematical tools, and control solutions needed to tackle and solve a number of problems concerning time-critical cooperative control of UAVs.
By including case studies of fixed-wing and multirotor UAVs, the book effectively broadens the scope of application of the methodologies developed. This theoretical presentation is complemented with the results of flight tests with real UAVs, and is an ideal reference for researchers and practitioners from academia, research labs, commercial companies, government workers, and those in the international aerospace industry.
- Addresses important topics related to time-critical cooperative control of UAVs
- Describes solutions to the problems rooted in solid dynamical systems theory
- Applies the solutions developed to fixed-wing and multirotor UAVs
- Includes the results of field tests with both classes of UAVs
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About the Author
He graduated as an engineer at the DEE of IST and received the M.Sc. and PhD degrees by the Electrical Engineering in 1985 and by the Control Science Departments of the University of Minnesota, Minneapolis, MN, USA, respectively.
He has been editor of 2 books, 4 book chapters, 40 Journal and ca 200 conference articles, all in major rigoursly peer reviewed venues. He is a frequent invited and plenary speaker in major scientific meetings on control and robotics.
He has led dozens of major research projects in marine robotics funded by several EU programs, and other international programs (FCT, AdI) , among which the folllowing FREESUBNET, GREX, CO-3AUVs, FREESUB, VENUS, EXOCET/D, MAYASub, MAROV, SADOGEOROB, CARAVELA, ASIMOV, can be singled out.
He received his Ph.D. in Aerospace Engineering from the University of Illinois at Urbana-Champaign in 2013. Before that, he earned an M.S. in Control Engineering from the Technical University of Catalonia and an M.S. in Aerospace Engineering from the Politecnico di Torino, both in 2007. He has ten years of experience in the design, integration, and testing of flight control systems for aerospace applications. Main accomplishments include the development and evaluation of fault-tolerant flight control systems for (i) a full-scale, variable-stability Learjet aircraft in collaboration with the USAF Test Pilot School; and (ii) a subscale variable-stability transport aircraft with the NASA Langley Research Center.
She received her MS degree in Theoretical Mechanics and Applied Mathematics in 1988 from Yerevan State University in Armenia. She got her Ph.D. in Physics and Mathematics in 1992, in Moscow, from the Institute of Applied Mathematics of Russian Academy of Sciences, majoring in optimal control and differential games. In 1997 she has been awarded a governmental postdoctoral scholarship to work in INRIA, France. In 1998 she was invited to the School of Aerospace Engineering of Georgia Tech, where she worked as a research faculty member until 2003. In 2003 she joined the Department of Aerospace and Ocean Engineering of Virginia Tech, and in 2008 she moved to University of Illinois at Urbana-Champaign, where she is a professor, university scholar and Schaller faculty scholar of Mechanical Science and Engineering. She has co-authored a book and more than 300 refereed publications. She is the recipient of the SICE International scholarship for the best paper of a young investigator in the VII ISDG Symposium (Japan, 1996), and also the 2011 recipient of AIAA Mechanics and Control of Flight award. In 2014 she was awarded the Humboldt prize for her lifetime achievements and was recognized as Hans Fischer senior fellow of Technical University of Munich. In 2015 she was recognized by Engineering Council award for Excellence in Advising. She is an associate fellow and life member of AIAA, a Senior Member of IEEE, and a member of SIAM, AMS and ISDG. Her research interests are in the theory of robust adaptive control and estimation, control in the presence of limited information, networks of autonomous systems, game theory and applications of those in safety-critical systems of aerospace, mechanical, electrical, petroleum and biomedical engineering.
He received his bachelor and master degrees from University of Bologna, in Italy, respectively in 2007 and 2011. In 2010, he studied for 7 months in TUDelft, Holland, as an exchange student. In 2011 he worked for his master thesis in Naval Postgraduate School, Monterey, CA, where he stayed for 2 more years working as Research Assistant. He won the 2015 Ross Martin Award for Outstanding Research Achievement by a Graduate Student | College of Engineering. UIUC, 2015; the National Science Fundation Student Travel Award | Cyber-Physical Systems Week 2014. Berlin, Germany, April 2014, the National Science Fundation Student Travel Award, Early Career Professional Workshop on Exploring New Frontiers in Cyber-Physical Systems. Washington DC, March 2014
He won the US National Research Council Post-Doctoral Fellowship Award, 2001, 2002, 2003, and 2004, and the Mikojan Design Bureau Certificate of Recognition, 1999. He is a Senior Member of the American Institute of Aeronautics and Astronautics (AIAA) and member of the Institute of Electrical and Electronics Engineers (IEEE).
Table of Contents
List of Figures Foreword Preface Acknowledgments Notation and Symbols
Part One Time-Critical Cooperative Control: An Overview 1. Introduction 2. General Framework for Vehicle Cooperation
Part Two Cooperative Control of Fixed-Wing Air Vehicles 3. 3D Path-Following Control of Fixed-Wing Air Vehicles 4. Time Coordination of Fixed-Wing Air Vehicles 5. Meeting Absolute Temporal Specifications 6. Time Coordination Under Quantization 7. Time Coordination Under Low Connectivity 8. Flight Tests: Cooperative Road Search
Part Three Cooperative Control of Multirotor Air Vehicles 9. 3D Path-Following Control of Multirotor Air Vehicles 10. Time Coordination of Multirotor Air Vehicles 11. Flight Tests of Multirotor UAVs
Part Four Final Considerations 12. Summary and Concluding Remarks A. Mathematical Background B. Proofs and Derivations