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Springer Modeling, Design, and Simulation of Systems with Uncertainties

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Description

This comprehensive guide from Springer addresses the critical challenge of handling uncertainty in engineering systems design and simulation. Covering both theoretical foundations and practical applications, the book explores algorithmic approaches to managing uncertainty while demonstrating real-world implementations in robotics and biomedical engineering. Engineers working with complex systems face inherent limitations in characterising processes with absolute certainty; this resource provides proven methodologies for overcoming those knowledge gaps. The three-fold contribution integrates theory, current research, and reliable software implementation strategies, making it essential reading for professionals tasked with accurately modelling the true behaviour of real-world systems despite incomplete information or inherent unpredictability.

Key Features

Springer's Mathematical Engineering series presents both theoretical frameworks and algorithmic approaches specifically designed for uncertainty handling in complex systems.

Real-life applications throughout the book demonstrate practical uncertainty management in robotics and biomedical engineering domains.

The book addresses fundamental engineering challenges arising from incomplete knowledge or inability to characterise processes with absolute certainty.

Fresh approaches to reliable software implementation ensure that uncertainty-aware models translate effectively into working systems and solutions.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
03 August 2013
Listed Since
09 August 2013

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