Event-Based Control and Signal Processing

Event-based systems are a class of reactive systems, characterized by efficient utilization of communication, computation and energy resources, deployed in a wide spectrum of engineering disciplines including control, communication, signal processing, and electronic instrumentation. This book contains 23 chapters contributed by more than 60 leading researchers from around the world. It provides an up-to-date picture of the developments in event-based control and signal processing, with a focus on networked sensor and control systems.

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. Mi-kowicz 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.

Event-Based Control: Introduction and Survey. Event-Driven Control and Optimization in Hybrid Systems. Reducing Communication by Event-Triggered Sampling. Event-Triggered versus Time-Triggered Real-Time Systems: A Comparative Study. Distributed Event-Based State-Feedback Control. Periodic Event-Triggered Control. Decentralized Event-Triggered Controller Implementations. Event-Based Generalized Predictive Control. Model-Based Event-Triggered Control of Networked Systems. Self-Triggered and Team-Triggered Control of Networked Cyber-Physical Systems. Efficiently Attentive Event-Triggered Systems. Event-Based PID Control. Time-Periodic State Estimation with Event-Based Measurement Updates. Intermittent Control in Man and Machine. Event-Based Data Acquisition and Digital Signal Processing in Continuous Time. Event-Based Data Acquisition and Reconstruction-Mathematical Background. Spectral Analysis of Continuous-Time ADC and DSP. Concepts for Hardware-Efficient Implementation of Continuous-Time Digital Signal Processing. Asynchronous Processing of Nonstationary Signals. Event-Based Statistical Signal Processing. Spike Event Coding Scheme. Digital Filtering with Nonuniformly Sampled Data: From the Algorithm to the Implementation. Reconstruction of Varying Bandwidth Signals from Event-Triggered Samples.