Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise

Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise

    • $39.99
    • $39.99

Descripción editorial

This book provides a concise introduction to the behavior of mechanical structures and testing their stochastic stability under the influence of noise. It explains the physical effects of noise and in particular the concept of Gaussian white noise. In closing, the book explains how to model the effects of noise on mechanical structures, and how to nullify / compensate for it by designing effective controllers.

PUBLICADO
2019
14 de febrero
IDIOMA
EN
Inglés
EXTENSIÓN
108
Páginas
EDITORIAL
Springer Nature Singapore
VENDEDOR
Springer Nature B.V.
TAMAÑO
9.2
MB
New Trends in Observer-based Control New Trends in Observer-based Control
2019
Modeling, Design and Simulation of Systems Modeling, Design and Simulation of Systems
2017
Mathematics Applied to Engineering Mathematics Applied to Engineering
2017
Fractional Order Systems Fractional Order Systems
2018
Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems
2016
PID Passivity-Based Control of Nonlinear Systems with Applications PID Passivity-Based Control of Nonlinear Systems with Applications
2021
Control Engineering in Mechatronics Control Engineering in Mechatronics
2023
Artificial Intelligence in Mechatronics and Civil Engineering Artificial Intelligence in Mechatronics and Civil Engineering
2023
Applied Complex Flow Applied Complex Flow
2023
Industry 4.0 Industry 4.0
2022
Environmental Issues of Blasting Environmental Issues of Blasting
2022
Applications of Artificial Intelligence in Tunnelling and Underground Space Technology Applications of Artificial Intelligence in Tunnelling and Underground Space Technology
2021