Event-Based Control and Signal Processing

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.

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. Miskowicz 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.