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Springer Robust Control of Jump Linear Stochastic Systems - Springer

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Description

This comprehensive academic text from Springer explores robust control methods for jump linear stochastic systems, with practical applications to sampled-data control design. Part of the prestigious Lecture Notes in Control and Information Sciences series (volume 497), this book provides researchers, engineers, and advanced students with rigorous theoretical foundations and implementation strategies for handling systems subject to random switching and stochastic disturbances. The work bridges classical control theory with modern stochastic analysis, offering essential tools for designing controllers that maintain stability and performance despite uncertainties inherent in real-world applications. Whether you are developing control algorithms for industrial processes, power systems, or communication networks, this reference delivers the mathematical frameworks and techniques needed to address robustness challenges in jump linear systems.

Key Features

Volume 497 in the Lecture Notes in Control and Information Sciences series provides authoritative coverage of jump linear stochastic systems and their control.

Robust control methodology ensures stable system performance when subject to random switching and stochastic uncertainties.

Sampled-data control applications bridge theoretical analysis with practical implementation for real-world engineering problems.

Springer publication guarantees peer-reviewed, rigorous academic content suitable for graduate-level research and professional reference.

Comprehensive treatment combines fundamental control theory with advanced stochastic analysis techniques for handling complex dynamic systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 June 2025
Listed Since
21 December 2024

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