£108.78

Springer Randomized Algorithms for Uncertain Systems - 2nd Ed

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Description

Managing uncertainty in system descriptions is a fundamental challenge in control engineering. This second edition of Randomized Algorithms for Analysis and Control of Uncertain Systems provides a deep look into probabilistic methods for analyzing and designing systems facing both deterministic and stochastic uncertainty. By using the approach presented in this text, readers can achieve a reduction in the computational complexity often found in classical control algorithms. Additionally, this method helps decrease the conservativeness typically associated with standard robust control techniques. This book serves as a specialized resource for those working within the Communications and Control Engineering field, offering practical applications for complex system management.

Key Features

Introduces fundamental probabilistic methods for analyzing systems subject to both deterministic and stochastic uncertainty.

Provides a specific approach to reduce the computational complexity of classical control algorithms.

Helps decrease the conservativeness found in standard robust control techniques through randomized algorithms.

Covers essential applications for the analysis and control of uncertain systems in engineering contexts.

Offers updated content in this second edition for researchers and professionals in control engineering.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 October 2012
Listed Since
25 October 2012

Barcode

No barcode data available

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