Linear Parameter Varying Gain Scheduled Control Of Aerospace Systems
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Linear Parameter Varying Gain Scheduled Control Of Aerospace Systems
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Author : Jeffrey Michael Barker
language : en
Publisher:
Release Date : 1999
Linear Parameter Varying Gain Scheduled Control Of Aerospace Systems written by Jeffrey Michael Barker and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.
Linear Parameter Varying Control
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Author : Olivier Sename
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-11
Linear Parameter Varying Control written by Olivier Sename and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Technology & Engineering categories.
An authoritative new exploration of the latest theoretical and applied advances in Linear Parameter-Varying systems In Linear Parameter-Varying Control: Theory and Application to Automotive Systems, distinguished researcher Dr. Olivier Sename delivers a comprehensive and up-to-date discussion of the theoretical aspects and real applications of Linear Parameter-Varying (LPV) control, with a strong focus on systems theory and in real automotive systems. The author covers the primary methods used to model, control, and analyze LPV systems, and illustrates how to model those systems using examples. This book covers developing adaptive LPV control using the provided recipes as guides and contextual aids as well as discovering effective methods to design LPV controllers that have already been validated through real applications. Readers will also find: A thorough introduction to vehicle dynamics control in automated vehicles, as well as suspension control Comprehensive explorations of LPV systems modelling, including dynamical systems Practical discussions of the properties of LPV systems, including controllability, observability, and stability Complete treatments of LPV systems control, including state feedback control and dynamic output feedback LPV control Perfect for researchers and students with an interest in vehicle dynamics, Linear Parameter-Varying Control will also benefit postgraduate and PhD students, control engineers, and academics teaching control theory and applications courses.
Robust Control And Linear Parameter Varying Approaches
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Author : Olivier Sename
language : en
Publisher: Springer
Release Date : 2013-02-01
Robust Control And Linear Parameter Varying Approaches written by Olivier Sename and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-01 with Technology & Engineering categories.
Vehicles are complex systems (non-linear, multi-variable) where the abundance of embedded controllers should ensure better security. This book aims at emphasizing the interest and potential of Linear Parameter Varying methods within the framework of vehicle dynamics, e.g. proposed control-oriented model, complex enough to handle some system non linearities but still simple for control or observer design, take into account the adaptability of the vehicle's response to driving situations, to the driver request and/or to the road sollicitations, manage interactions between various actuators to optimize the dynamic behavior of vehicles. This book results from the 32th International Summer School in Automatic that held in Grenoble, France, in September 2011, where recent methods (based on robust control and LPV technics), then applied to the control of vehicle dynamics, have been presented. After some theoretical background and a view on some recent works on LPV approaches (for modelling, analysis, control, observation and diagnosis), the main emphasis is put on road vehicles but some illustrations are concerned with railway, aerospace and underwater vehicles. The main objective of the book is to demonstrate the value of this approach for controlling the dynamic behavior of vehicles. It presents, in a rm way, background and new results on LPV methods and their application to vehicle dynamics.
Worst Case Analysis And Linear Parameter Varying Gain Scheduled Control Of Aerospace Systems
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Author : Jong-Yeob Shin
language : en
Publisher:
Release Date : 2000
Worst Case Analysis And Linear Parameter Varying Gain Scheduled Control Of Aerospace Systems written by Jong-Yeob Shin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Fault Detection Supervision And Safety Of Technical Processes 2003 Safeprocess 2003
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Author : Marcel Staroswiecki
language : en
Publisher: Elsevier
Release Date : 2004-02-27
Fault Detection Supervision And Safety Of Technical Processes 2003 Safeprocess 2003 written by Marcel Staroswiecki and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-02-27 with Science categories.
A three-volume work bringing together papers presented at 'SAFEPROCESS 2003', including four plenary papers on statistical, physical-model-based and logical-model-based approaches to fault detection and diagnosis, as well as 178 regular papers.
Control Of Linear Parameter Varying Systems With Applications
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Author : Javad Mohammadpour
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-03-08
Control Of Linear Parameter Varying Systems With Applications written by Javad Mohammadpour and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-08 with Technology & Engineering categories.
Control of Linear Parameter Varying Systems compiles state-of-the-art contributions on novel analytical and computational methods for addressing system identification, model reduction, performance analysis and feedback control design and addresses address theoretical developments, novel computational approaches and illustrative applications to various fields. Part I discusses modeling and system identification of linear parameter varying systems, Part II covers the importance of analysis and control design when working with linear parameter varying systems (LPVS) , Finally, Part III presents an applications based approach to linear parameter varying systems, including modeling of a turbocharged diesel engines, Multivariable control of wind turbines, modeling and control of aircraft engines, control of an autonomous underwater vehicles and analysis and synthesis of re-entry vehicles.
Blending Methodology Of Linear Parameter Varying Control Synthesis Of F 16 Aircraft System
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Author : Jong-Yeob Shin
language : en
Publisher:
Release Date : 2001
Blending Methodology Of Linear Parameter Varying Control Synthesis Of F 16 Aircraft System written by Jong-Yeob Shin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
This paper presents the design of a linear parameter varying (LPV) controller for the F-16 longitudinal axes over the entire flight envelope using a blending methodology which lets an LPV controller preserve performance level over each parameter subspace and reduces computational costs for synthesizing an LPV controller. Three blending LPV controller synthesis methodologies are applied to control F-16 longitudinal axes. Using a function substitution method, a quasi-LPV model of the F-16 longitudinal axes is constructed from the nonlinear equations of motion over the entire flight envelope, including non-trim regions, to facilitate synthesis of LPV controllers for the F-16 aircraft. The nonlinear simulations of the blending LPV controller show that the desired performance and robustness objectives are achieved across all altitude variations.
Linear Parameter Varying System Identification
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Author : Paulo Lopes dos Santos
language : en
Publisher: World Scientific
Release Date : 2012
Linear Parameter Varying System Identification written by Paulo Lopes dos Santos and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematics categories.
This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. It focuses on the most recent LPV identification methods for both discrete-time and continuous-time models--
Model Based Nonlinear Control Of Aeroengines
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Author : Jiqiang Wang
language : en
Publisher: Springer Nature
Release Date : 2021-08-17
Model Based Nonlinear Control Of Aeroengines written by Jiqiang Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-17 with Technology & Engineering categories.
This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling of aeroengine systems—both component-level and identification-based models will be extensively studied and compared; and (2) advanced nonlinear control designs—set-point control, transient control and limit-protection control approaches will all be investigated. The model-based design has been one of the pivotal technologies to advanced control and health management of propulsion systems. It can fulfil advanced designs such as fault-tolerant control, engine modes control and direct thrust control. As a consequence, model-based design has become an important research area in the field of aeroengines due to its theoretical interests and engineering significance. One of the central issues in model-based controls is the tackling of nonlinearities. There are publications concerning with either nonlinear modelling or nonlinear controls; yet, they are scattered throughout the literature. It is time to provide a comprehensive summary of model-based nonlinear controls. Consequently, a series of important results are obtained and a systematic design methodology is developed which provides consistently enhanced performance over a large flight/operational envelope, and it is thus expected to provide useful guidance to practical engineering in aeroengine industry and research.
Nonlinear Industrial Control Systems
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Author : Michael J. Grimble
language : en
Publisher: Springer Nature
Release Date : 2020-05-19
Nonlinear Industrial Control Systems written by Michael J. Grimble and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-19 with Technology & Engineering categories.
Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.