£73.93

Springer Networked and Distributed Predictive Control Book

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Description

Networked and Distributed Predictive Control provides rigorous and practical methods for designing networked and distributed predictive control systems. As the first book to address this specific area, it offers essential guidance for engineers and researchers working with complex control architectures. The text details the design of model predictive control systems using Lyapunov-based techniques. It specifically addresses how to account for the influence of asynchronous and delayed measurements within a system. Readers will learn about networked control architecture development and how these systems can augment dedicated control systems. By leveraging additional, potentially asynchronous and delayed measurements, this book helps professionals understand how to improve control performance in modern industrial settings. This volume is part of the Advances in Industrial Control series by Springer, making it a valuable resource for those studying advanced networking and security topics in computing.

Key Features

First book to present rigorous and practical methods for the design of networked and distributed predictive control systems.

Covers model predictive control system design using Lyapunov-based techniques for enhanced stability.

Provides methods to account for the impact of asynchronous and delayed measurements in control systems.

Explains networked control architecture development to help augment existing dedicated control systems.

Offers practical applications for nonlinear process networks within industrial control settings.

Used book in good condition, suitable for academic study or professional reference.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 April 2011
Listed Since
21 February 2011

Barcode

No barcode data available

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