Data Driven Strategies: Theory and Applications PDF
Preview Data Driven Strategies: Theory and Applications
Data Driven Strategies: Theory and Applications Wang Jianhong School of Engineering and Sciences Tecnologico de Monterrey, Monterrey, Mexico Ricardo A. Ramirez-Mendoza School of Engineering and Sciences Tecnologico de Monterrey, Monterrey, Mexico Ruben Morales-Menendez School of Engineering and Sciences Tecnologico de Monterrey, Monterrey, Mexico First edition published 2023 by CRC Press 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742 and by CRC Press 4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN © 2023 Wang Jianhong, Ricardo A. Ramirez-Mendoza and Ruben Morales-Menendez CRC Press is an imprint of Taylor & Francis Group, LLC Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, access www.copyright.com or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978- 750-8400. For works that are not available on CCC please contact [email protected] Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe. Library of Congress Cataloging-in-Publication Data (applied for) ISBN: 978-0-367-74659-9 (hbk) ISBN: 978-0-367-75008-4 (pbk) ISBN: 978-1-003-16070-0 (ebk) DOI: 10.1201/9781003160700 Typeset in Times New Roman by Innovative Processors Acknowledgments We are grateful to a number of outstanding people who we have the opportunity to meet, learn from and work with during our PhD, postdoctoral and whose support and encouragement have made this exciting and challenging journey possible. Tecnologico de Monterrey is one top university all over the world. There we can calm down to our teaching and research about advanced control theory and engineering. Every day we always have coffee and talk about our new ideas about the same topic. Due to the nice scenes and mountains, they often give us some inspirations. Without these natural sceneries and support from Tecnologico de Monterrey, we could not do any new directions for later research. Jiangxi University of Science and Technology is one of the best places the first author could have hoped for doing his teaching and research, and he acknowledges the support from Jiangxi University of Science and Technology, which is an exceptional lab and research environment with amazing and interesting people. Finally, our special thanks go to our family and friends, without them we would not have made it here. Thanks for understanding that time was often scarce and for always encouraging us. We want to thank our parents and families for their love and endless support, thanks for always being there for us. After all, finishing this book is not the end of a journey, but the beginning of a much bigger one. In the next years, we will try our best to combine the functional analysis and geometry into system identification and advanced control theory. Maybe we can open some new directions in these research fields. Wang Jianhong Ricardo A. Ramirez-Mendoza Ruben Morales-Menendez Preface One of the motivations behind this book was to collect together the many results of the direct data driven strategy from two different points, i.e. data driven identification and data driven control. For this reason, we have, rather unashamedly, included a number of ideas that were developed at Tecnologico de Monterrey and in this sense some of the discussions in the book are included as background material that some readers may wish to skip on an initial reading. This book includes all of our recent contributions about direct data driven strategy for control and identification respectively. These recent contributions are all published in some international journals. On the other hand, we have clearly attempted to incorporate all the major developments in this field, some of which are rather recent and as yet may not be widely known. Over the past few decades the state of this direct data driven strategy has come close to our living information age. But it is still nowhere near closed enough for many control applications. In this respect the field is wide open for researchers to come up with fresh ideas that will bridge the gap between ideal performance and achievable practice. Wang Jianhong Ricardo A. Ramirez-Mendoza Ruben Morales-Menendez Contents Acknowledgments iii Preface v 1. Introduction of Data Driven Strategy 1 1.1 Introduction 1 1.2 Outline 4 1.3 Contributions 6 2. Data Driven Model Predictive Control 8 2.1 Introduction 8 2.2 Application of bounded error identification into model predictive control 9 2.3 Application of interval predictor model into model predictive control 24 2.4 Stability analysis in cooperative distributed model predictive control 41 2.5 Summary 52 3. Data Driven Identification for Closed Loop System 54 3.1 Introduction 54 3.2 Stealth identification strategy for closed loop linear time invariant system 55 3.3 Performance analysis of closed loop system with a tailor made parameterization 72 3.4 Minimum variance control strategy for the closed loop system 87 3.5 Synthesis identification analysis for closed loop system 96 3.6 Summary 106 viii Contents 4. Data Driven Model Validation for Closed Loop System 108 4.1 Introduction 108 4.2 Model structure validation for closed loop system identification 109 4.3 Non-asymptotic confidence regions in closed loop model validation 121 4.4 Further results on model structure validation 125 4.5 Finite sample properties for closed loop identification 132 4.6 Summary 145 5. Data Driven Identification for Nonlinear System 147 5.1 Introduction 147 5.2 Parallel distributed estimation for polynomial nonlinear state space models 148 5.3 Recursive least squares identification for piecewise affine Hammerstein models 166 5.4 Summary 181 6. Data Driven Iterative Tuning Control 184 6.1 Introduction 184 6.2 Zonotope parameter identification for piecewise affine system 185 6.3 Iterative correlation tuning control for closed loop linear time invariant system 198 6.4 Controller design for many variables closed loop system under non-interaction condition 215 6.5 One improvement on zonotope guaranteed parameter estimation 226 6.6 Summary 229 7. Data Driven Applications 232 7.1 Introduction 232 7.2 Applying set membership strategy in state of charge estimation for Lithium-ion battery 233 7.3 Optimal input signal design for aircraft flutter model parameters identification 255 7.4 Synthesis cascade estimation for aircraft system identification 286 7.5 Summary 302 8. Data Driven Subspace Predictive Control 305 8.1 Introduction 305 8.2 Nearest neighbor gradient algorithm in subspace predictive control under fault condition 306 Contents ix 8.3 Subspace data driven control for linear parameter varying system 319 8.4 Local polynomial method for frequency response function identification 334 8.5 Conclusion 346 9. Conclusions and Outlook 348 9.1 Introduction 348 9.2 Outlook 350 Index 351
The list of books you might like
