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Event-Based Control and Signal Processing





ISBN 9781138893184
Published July 26, 2017 by CRC Press

 
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Book Description

Event-based systems are a class of reactive systems deployed in a wide spectrum of engineering disciplines including control, communication, signal processing, and electronic instrumentation. Activities in event-based systems are triggered in response to events usually representing a significant change of the state of controlled or monitored physical variables. Event-based systems adopt a model of calls for resources only if it is necessary, and therefore, they are characterized by efficient utilization of communication bandwidth, computation capability, and energy budget. Currently, the economical use of constrained technical resources is a critical issue in various application domains because many systems become increasingly networked, wireless, and spatially distributed.

Event-Based Control and Signal Processing examines the event-based paradigm in control, communication, and signal processing, with a focus on implementation in networked sensor and control systems. Featuring 23 chapters contributed by more than 60 leading researchers from around the world, this book covers:

  • Methods of analysis and design of event-based control and signal processing
  • Event-driven control and optimization of hybrid systems
  • Decentralized event-triggered control
  • Periodic event-triggered control
  • Model-based event-triggered control and event-triggered generalized predictive control
  • Event-based intermittent control in man and machine
  • Event-based PID controllers
  • Event-based state estimation
  • Self-triggered and team-triggered control
  • Event-triggered and time-triggered real-time architectures for embedded systems
  • Event-based continuous-time signal acquisition and DSP
  • Statistical event-based signal processing in distributed detection and estimation
  • Asynchronous spike event coding technique with address event representation
  • Event-based processing of non-stationary signals
  • Event-based digital (FIR and IIR) filters
  • Event-based local bandwidth estimation and signal reconstruction

Event-Based Control and Signal Processing is the first extensive study on both event-based control and event-based signal processing, presenting scientific contributions at the cutting edge of modern science and engineering.

Table of Contents

EVENT-BASED CONTROL

Event-Based Control: Introduction and Survey
Jan Lunze

Event-Driven Control and Optimization in Hybrid Systems
Christos G. Cassandras

Reducing Communication by Event-Triggered Sampling
Marek Miskowicz

Event-Triggered versus Time-Triggered Real-Time Systems: A Comparative Study
Roman Obermaisser and Walter Lang

Distributed Event-Based State-Feedback Control
Jan Lunze and Christian Stöcker

Periodic Event-Triggered Control
W.P. Maurice H. Heemels, Romain Postoyan, M.C.F. (Tijs) Donkers, Andrew R. Teel, Adolfo Anta, Paulo Tabuada, and Dragan Nešić

Decentralized Event-Triggered Controller Implementations
Manuel Mazo Jr. and Anqi Fu

Event-Based Generalized Predictive Control
Andrzej Pawlowski, José Luis Guzmán, Manuel Berenguel, and Sebastián Dormido

Model-Based Event-Triggered Control of Networked Systems
Eloy Garcia, Michael J. McCourt, and Panos J. Antsaklis

Self-Triggered and Team-Triggered Control of Networked Cyber-Physical Systems
Cameron Nowzari and Jorge Cortés

Efficiently Attentive Event-Triggered Systems
Lichun Li and Michael D. Lemmon

Event-Based PID Control
Burkhard Hensel, Joern Ploennigs, Volodymyr Vasyutynskyy, and Klaus Kabitzsch

Time-Periodic State Estimation with Event-Based Measurement Updates
Joris Sijs, Benjamin Noack, Mircea Lazar, and Uwe D. Hanebeck

Intermittent Control in Man and Machine
Peter Gawthrop, Henrik Gollee, and Ian Loram

EVENT-BASED SIGNAL PROCESSING

Event-Based Data Acquisition and Digital Signal Processing in Continuous Time
Yannis Tsividis, Maria Kurchuk, Pablo Martinez-Nuevo, Steven M. Nowick, Sharvil Patil, Bob Schell, and Christos Vezyrtzis

Event-Based Data Acquisition and Reconstruction—Mathematical Background
Nguyen T. Thao

Spectral Analysis of Continuous-Time ADC and DSP
Yu Chen, Maria Kurchuk, Nguyen T. Thao, and Yannis Tsividis

Concepts for Hardware-Efficient Implementation of Continuous-Time Digital Signal Processing
Dieter Brückmann, Karsten Konrad, and Thomas Werthwein

Asynchronous Processing of Nonstationary Signals
Azime Can-Cimino and Luis F. Chaparro

Event-Based Statistical Signal Processing
Yasin Yılmaz, George V. Moustakides, Xiaodong Wang, and Alfred O. Hero

Spike Event Coding Scheme
Luiz Carlos Paiva Gouveia, Thomas Jacob Koickal, and Alister Hamilton

Digital Filtering with Nonuniformly Sampled Data: From the Algorithm to the Implementation
Laurent Fesquet and Brigitte Bidégaray-Fesquet

Reconstruction of Varying Bandwidth Signals from Event-Triggered Samples
Dominik Rzepka, Mirosław Pawlak, Dariusz Kościelnik, and Marek Miskowicz

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Editor(s)

Biography

Marek Miskowicz received his M.Sc. and Ph.D. in electronic engineering, and his D.Sc. in communication systems engineering, from AGH University of Science and Technology, Kraków, Poland, where he is currently an associate professor in the Department of Electronics. He has been involved in research on industrial networked communication systems including send-on-delta paradigm, methods and architectures for asynchronous analog-to-digital conversion, and signal recovery based on event-triggered sampling. Dr. Miśkowicz has authored more than 100 scientific publications and holds more than 20 patents related to event-based signal processing and instrumentation. He was a co-founder of the International Conference on Event-Based Control, Communication, and Signal Processing, EBCCSP.

Reviews

"This book is a good example of a publication that is written to help the curious reader learn fundamental and advanced material on the topics of event-based control and signal processing. It contains several views on these subjects, explained in focused chapters that use a clear language and that keep mathematical explanations at a reasonable level of complexity. Overall, [this book provides] a very good starting point for learning event-based control and signal processing."
—Paolo Carbone, University of Perugia, Italy