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Nonlinear control of fixed-wing UAVs...

Michailidis, Michail G.

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Nonlinear control of fixed-wing UAVs with time-varying and unstructured uncertainties

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nonlinear control of fixed-wing UAVs with time-varying and unstructured uncertainties/ by Michail G. Michailidis, Kimon P. Valavanis, Matthew J. Rutherford.
Author:	Michailidis, Michail G.
other author:	Valavanis, Kimon P.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xv, 119 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Literature Review -- Technical Problem Statement -- Controller Design -- U C2 AV Case Study -- Conclusion and Discussion.
Contained By:	Springer eBooks
Subject:	Drone aircraft - Control systems. -
Online resource:	https://doi.org/10.1007/978-3-030-40716-2
ISBN:	9783030407162

Nonlinear control of fixed-wing UAVs with time-varying and unstructured uncertainties
Michailidis, Michail G.

Nonlinear control of fixed-wing UAVs with time-varying and unstructured uncertainties[electronic resource] /by Michail G. Michailidis, Kimon P. Valavanis, Matthew J. Rutherford. - Cham :Springer International Publishing :2020. - xv, 119 p. :ill., digital ;24 cm. - Springer tracts in autonomous systems,v.12662-5539 ;. - Springer tracts in autonomous systems ;v.1..

Introduction -- Literature Review -- Technical Problem Statement -- Controller Design -- U C2 AV Case Study -- Conclusion and Discussion.

This book introduces a comprehensive and mathematically rigorous controller design for families of nonlinear systems with time-varying parameters and unstructured uncertainties. Although the presented methodology is general, the specific family of systems considered is the latest, NextGen, unconventional fixed-wing unmanned aircraft with circulation control or morphing wings, or a combination of both. 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.

ISBN: 9783030407162

Standard No.: 10.1007/978-3-030-40716-2doiSubjects--Topical Terms:

896751
Drone aircraft
--Control systems.

LC Class. No.: TL589.4 / .M534 2020

Dewey Class. No.: 629.1326

Nonlinear control of fixed-wing UAVs with time-varying and unstructured uncertainties
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505 0 $a Introduction -- Literature Review -- Technical Problem Statement -- Controller Design -- U C2 AV Case Study -- Conclusion and Discussion.
520 $a This book introduces a comprehensive and mathematically rigorous controller design for families of nonlinear systems with time-varying parameters and unstructured uncertainties. Although the presented methodology is general, the specific family of systems considered is the latest, NextGen, unconventional fixed-wing unmanned aircraft with circulation control or morphing wings, or a combination of both. 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.
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