Overview
- Presents recent research on nonlinear control of fixed-wing unmanned aerial vehicles with time-varying and unstructured uncertainties
- Describes techniques that can be generalized and applied to next-generation, unconventional UAVs to address uncertainty challenges regarding aircraft aerodynamic coefficients
- Discusses the challenge of robust control for fixed-wing UAVs with time-varying aerodynamic uncertainties by employing specialized analyses and additive uncertainty weighting functions
Part of the book series: Springer Tracts in Autonomous Systems (STRAUS, volume 1)
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Table of contents (6 chapters)
Keywords
About this book
The approach considers various sources of model and parameter uncertainty, while the controller design depends not on a nominal plant model, but instead on a family of admissible plants. In contrast to existing controller designs that consider multiple models and multiple controllers, the proposed approach is based on the ‘one controller fits all models’ within the unstructured uncertainty interval.
The book presents a modeling-based analysis and synthesis approach with additive uncertainty weighting functions for accurate realization of the candidate systems. This differs significantly from existing designs in that it is capable of handling time-varying characteristics.
This research monograph is suitable for scientists, engineers, researchers and graduate students with a background in control system theory who are interested in complex engineering nonlinear systems.
Authors and Affiliations
Bibliographic Information
Book Title: Nonlinear Control of Fixed-Wing UAVs with Time-Varying and Unstructured Uncertainties
Authors: Michail G. Michailidis, Kimon P. Valavanis, Matthew J. Rutherford
Series Title: Springer Tracts in Autonomous Systems
DOI: https://doi.org/10.1007/978-3-030-40716-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-40715-5Published: 22 February 2020
Softcover ISBN: 978-3-030-40718-6Published: 22 February 2021
eBook ISBN: 978-3-030-40716-2Published: 21 February 2020
Series ISSN: 2662-5539
Series E-ISSN: 2662-5547
Edition Number: 1
Number of Pages: XV, 119
Number of Illustrations: 44 b/w illustrations, 101 illustrations in colour
Topics: Robotics and Automation, Control and Systems Theory, Aerospace Technology and Astronautics, Computational Intelligence, Robotics, Systems Theory, Control