£112.59

Springer Randomized Algorithms for Uncertain Systems - Springer

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Description

Randomized Algorithms for Analysis and Control of Uncertain Systems introduces probabilistic methods for analysing and designing systems subject to deterministic and stochastic uncertainty. This second edition text addresses a critical challenge in control theory by presenting approaches that reduce computational complexity compared to classical control algorithms whilst lowering the conservativeness of standard robust control techniques. The book explores randomised algorithmic solutions that handle system uncertainty more efficiently, making it essential reading for engineers and researchers working with uncertain systems, control design, and probabilistic analysis methods in real-world applications.

Key Features

Covers randomized algorithms designed specifically for systems with deterministic and stochastic uncertainty in control engineering.

Introduces probabilistic methods that reduce computational complexity compared to traditional classical control algorithms.

Presents techniques that lower the conservativeness of standard robust control approaches for uncertain systems.

Second edition includes updated applications and methodologies for modern control system challenges.

Product Specifications

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

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