Control Strategy for Time-Delay Systems

Part II: Engineering Applications

1st Edition - November 27, 2020
Imprint: Academic Press
Editors: Mohammad-Hassan Khooban, Tomislav Dragicevic
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 3 4 7 - 7
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 8 5 8 0 4 - 5

Since delays are present in 99% of industrial processes, Control Strategy for Time-delay Systems covers all the important features of real-world practical applications which wil… Read more

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Since delays are present in 99% of industrial processes, Control Strategy for Time-delay Systems covers all the important features of real-world practical applications which will be valuable to practicing engineers and specialists The book presents the views of the editors on promising research directions and future industrial applications in this area.

Although the fundamentals of time-delay systems are discussed, the book focuses on the advanced modelling and control of such systems and will provide the analysis and test (or simulation) results of nearly every technique described in the book For this purpose, highly complex models are introduced to ‎describe the mentioned new applications which are characterized by ‎time-varying delays with intermittent and stochastic nature, several types of nonlinearities, and the presence ‎of different time-scales.

Researchers, practitioners and PhD students will gain insights into the prevailing trends in design and operation of real-time control systems, reviewing the shortcomings and future developments concerning the practical system issues such as standardization, protection and design.

Cover image
Title page
Table of Contents
Copyright
List of contributors
Preface
Organization
Chapter One: Wide-area damping controller for randomly varying delay: a dynamic output feedback approach
Abstract
1.1. Introduction
1.2. System description
1.3. Controller design and analysis
1.4. Robustness analysis of the proposed controller
1.5. Application: four-machine eleven-bus system
1.6. Conclusion
Appendix 1.A. LMI solution of Ψ
References
Chapter Two: Delay resilient networked control with application to microgrids
Abstract
2.1. Introduction
2.2. Related work
2.3. Network control systems in microgrids
2.4. Event-triggered average consensus with communication delays
2.5. Polynomial fuzzy model for positive systems with time delay
2.6. Summary
References
Chapter Three: Time-delay robustness analysis of a nested saturation control for UAV motion control
Abstract
3.1. Introduction
3.2. Problem statement
3.3. Main results
3.4. Experimental validation
3.5. Conclusion
References
Chapter Four: Insulin dosage control of time-delayed type-1 diabetes
Abstract
4.1. Introduction
4.2. Time-delayed glucose–insulin model
4.3. TSMTD representation
4.4. TS fuzzy-based controller design
4.5. Numerical simulation
4.6. Conclusion
References
Chapter Five: State estimation strategy for continuous-time systems with time-varying delay via a novel L-K functional
Abstract
Acknowledgements
5.1. Introduction
5.2. Problem formulation
5.3. A novel Lyapunov–Krasovskii functional
5.4. H∞ performance analysis
5.5. H∞ state estimator design
5.6. Discussions and summary of results
5.7. Conclusion
References
Chapter Six: Predictive control for delay systems: theory and applications
Abstract
6.1. Introduction
6.2. Delayed systems
6.3. Control of delayed systems
6.4. Model predictive controller design with time-varying delay
6.5. Robust model predictive controller design with time delay
6.6. Conclusions
References
Chapter Seven: Time-delayed pith angle control of wind turbine systems-based Smith ultralocal model machine learning technique
Abstract
7.1. Introduction
7.2. Mathematical model of case study
7.3. Design of ULM controller-based DDPG with Smith structure
7.4. Simulation results
7.5. Conclusion
References
Chapter Eight: Adaptive lag-synchronization of two nonidentical time-delayed chaotic systems in the presence of external disturbances subjected to input nonlinearity
Abstract
8.1. Introduction
8.2. System description and problem formulation
8.3. Controller design
8.4. Numerical example
8.5. Conclusions
References
Chapter Nine: Reset observer for a class of nonlinear time-delay systems with application to a two-stage chemical reactor system
Abstract
9.1. Introduction
9.2. System description and problem formulation
9.3. Observer design and stability analysis
9.4. Extensions
9.5. Numerical example
9.6. Conclusions
References
Chapter Ten: Estimating the maximum allowable delay bound for networked control systems using co-simulation and design space exploration
Abstract
Acknowledgements
10.1. Introduction
10.2. Networked control systems
10.3. Co-simulation, design space exploration, and the Ether FMU
10.4. Case study: computing the MADB for an LFR with delayed signals
10.5. Experimental results: estimation of the MADB for the LFR using DSE
10.6. Concluding remarks
References
Index

Mohammad-Hassan Khooban

Dr. Mohammad-Hassan Khooban is an Assistant Professor in the Department of Engineering and the Director of the Power Circuits and Systems Research Group at Aarhus University in Denmark. He has authored or co-authored more than 220 publications in peer-reviewed journals (mostly IEEE) and international conferences, written three book chapters, and holds one patent. He has been involved in six national and international projects. He was identified in 2019, 2020, and 2021 by Stanford University as one of the world’s top 2% researchers in engineering. He was also ranked 16th in the list of top 30 Electronics and Electrical Engineering Scientists in Denmark in 2022. His research interests include the application of advanced control, and optimization of artificial intelligence-inspired techniques in power electronics and systems.

Affiliations and expertise

Department of Engineering - Cyper-Physical Systems, Aarhus University, Aarhus N, Denmark

Tomislav Dragicevic

Tomislav Dragičević received the M.Sc. and the industrial Ph.D. degrees in Electrical Engineering from the Faculty of Electrical Engineering, Zagreb, Croatia, in 2009 and 2013, respectively. From 2013 until 2016 he has been a Postdoctoral research associate at Aalborg University, Denmark. From March 2016 he is an Associate Professor at Aalborg University, where he leads an Advanced Control Lab. His principal field of interest is design and control of microgrids, and application of advanced modeling and control concepts to power electronic systems. He has authored and co-authored more than 155 technical papers in his domain of interest, 8 book chapters and a book in the field. He serves as Associate Editor in the IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. He is a recipient of the Končar prize for the best industrial PhD thesis in Croatia, and a Robert Mayer Energy Conservation award.

Affiliations and expertise

Associate Professor, The Faculty of Engineering and Science, Department of Energy Technology Power Electronic Systems Aalborg University, Aalborg, Denmark

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