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Springer Relative Optimization of Continuous-Time Stochastic Systems

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Description

This Communications and Control Engineering volume from Springer provides comprehensive coverage of relative optimization methods for continuous-time and continuous-state stochastic systems. The book addresses advanced techniques for analysing and optimizing dynamic systems subject to random disturbances, offering rigorous mathematical frameworks and practical applications relevant to control engineering professionals and academic researchers. Ideal for those seeking deep understanding of stochastic control theory and its implementation in real-world engineering problems.

Key Features

Covers relative optimization techniques for continuous-time and continuous-state stochastic systems in control engineering applications.

Published by Springer as part of the established Communications and Control Engineering series for technical professionals.

Provides rigorous mathematical foundations and theoretical analysis for advanced stochastic system optimization.

Suitable for control engineers, researchers, and graduate students studying advanced optimization methods.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 May 2020
Listed Since
23 January 2020

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No barcode data available

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