Model-Based Control of Networked Systems
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Beschreibung
This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled.
The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates . It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control.
Key features and topics include:
- Time-triggered and event-triggered feedback updates
- Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback
- Optimal control analysis and design of model-based networked systems
- Parameter identification and adaptive stabilization of systems controlled over networks
- The MB-NCS approach to decentralized control of distributed systems
Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.
This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents various architectures and control strategies designed to improve the performance of NCS. The overall performance of NCS considers the appropriate use of network resources, particularly network bandwidth, in conjunction with the desired response of the system being controlled.
The book begins with a detailed description of the basic MB-NCS architecture that provides stability conditions in terms of state feedback updates. It also covers typical problems in NCS such as network delays, network scheduling, and data quantization, as well as more general control problems such as output feedback control, nonlinear systems stabilization, and tracking control.
Key features and topics include:
- Time-triggered and event-triggered feedback updates
- Stabilization of uncertain systems subject to time delays, quantization, and extendedabsence of feedback
- Optimal control analysis and design of model-based networked systems
- Parameter identification and adaptive stabilization of systems controlled over networks
- The MB-NCS approach to decentralized control of distributed systems
Model-Based Control of Networked Systems will appeal to researchers, practitioners, and graduate students interested in the control of networked systems, distributed systems, and systems with limited feedback.
Offers a simple and intuitive approach for the reduction of network communication Explains optimal control analysis and design of model-based networked systems Addresses control design and analysis of systems with both parameter uncertainties and limited feedback Includes supplementary material: sn.pub/extras
Autor*in
Eloy Garcia
Themen in »Model-Based Control of Networked Systems«
Event-based control Model-based control Periodic systems Quantization Time delays Uncertain systems
Stimmen zu »Model-Based Control of Networked Systems«
“This book is an excellent introduction to NCSs that will be appreciated by a broad range of readers, from those with only a modicum of knowledge about systems and control (e.g. beginning M.Sc. students) to graduate students and experienced academic researchers looking to familiarize themselves quickly and easily with a research area of great theoretical and practical interest. … will be useful to graduate students and academic scientists interested in a lively and effective introduction to this research area.” (Paolo Rapisarda, Mathematical Reviews, November, 2015)
“The book by Garcia et al. ‘Model-Based Control of Networked Systems’ is a nice compendium of knowledge for modern control model based methods. … the book is very interesting and can be suggested for colleagues interested in control theory and somewhat to applications as coversmany of important control problems.” (Krzysztof Gałkowski, zbMATH, Vol. 1304, 2015)()