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 updatesStabilization of uncertain systems subject to time delays, quantization, and extended absence of feedbackOptimal control analysis and design of model-based networked systemsParameter identification and adaptive stabilization of systems controlled over networksThe MB-NCS approach to decentralized control of distributed systemsModel-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.

Model-Based Control of Networked Systems (Systems & Control: Foundations & Applications)

Antsaklis, Panos J.

García, Eloy

Montestruque, Luis A.

Reference

Birkhauser

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:
<ul>
<li>Time-triggered and event-triggered feedback updates</li>
<li>Stabilization of uncertain systems subject to time delays, quantization, and extended absence of feedback</li>
<li>Optimal control analysis and design of model-based networked systems</li>
<li>Parameter identification and adaptive stabilization of systems controlled over networks</li>
<li>The MB-NCS approach to decentralized control of distributed systems</li>
</ul>
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.

Faced with the variety and complexity of the forms that direct democracy takes today, this book pays attention first to the main stages in which direct democracy has historically evolved, and then considers at greater length the systems currently in place in different countries. The first chapter provides historical background. The two following chapters are devoted to Europe and to the Americas, where direct democracy is most developed. The analysis of the different forms that direct democracy has historically taken and those that characterize contemporary systems should allow a more balanced judgment for or against direct democracy, both in general and in specific contexts.

Direct Democracy in Comparative Law (Comparative Public Law Treatise (CPLT))

Rogoff, Martin

Palici di Suni, Elisabetta

Legal Theory & Systems

Eleven International Publishing

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