Description
This hardcover volume presents an in-depth exploration of stochastic modelling, control systems, and optimization methodologies. Written by Vasiliev V A and published by InTech in 2017, the book combines theoretical foundations with practical applications for managing uncertainty in dynamic systems.
The text covers essential topics including stochastic processes, probabilistic modeling approaches, control theory fundamentals, and advanced optimization strategies. These concepts are vital for engineers, mathematicians, and researchers working with uncertain systems in finance, manufacturing, energy, and other industries.
Designed for advanced students and professionals, this reference work provides rigorous mathematical treatment alongside real-world problem-solving techniques. The comprehensive approach enables readers to understand how to model random phenomena, design robust control systems, and implement optimal solutions under uncertainty constraints.
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