رکورد قبلیرکورد بعدی

" Computer-based analysis of the Stochastic stability of mechanical structures driven by white and colored noise / "


Document Type : BL
Record Number : 891110
Main Entry : Azizi, Aydin
Title & Author : Computer-based analysis of the Stochastic stability of mechanical structures driven by white and colored noise /\ Aydin Azizi, Poorya Ghafoorpoor Yazdi.
Publication Statement : Singapore :: Springer,, [2019]
Series Statement : SpringerBriefs in applied sciences and technology
Page. NO : 1 online resource :: illustrations
ISBN : 9789811362170
: : 9789811362187
: : 9789811362194
: : 9811362173
: : 9811362181
: : 981136219X
: 9789811362170
Bibliographies/Indexes : Includes bibliographical references.
Contents : Intro; Acknowledgements; Contents; List of Figures; List of Tables; Abstract; 1 Introduction to Fuel Consumption Optimization Techniques; 1.1 Overview; 1.1.1 Factors Effecting Fuel Efficiency; 1.2 Formulation of the Problem; 1.2.1 Methods of Improving the Fuel Efficiency; 1.2.2 Methods of Improving the Vehicle Suspension; 1.3 Scope and Contribution; 1.4 Methodology; 1.5 Organization of the Book; References; 2 Introduction to Noise and its Applications; 2.1 Overview; 2.2 Background and History of Noise; 2.3 Noise in Electronic View; 2.4 Noise in Communication View; 2.5 Different Types of Noise
: 2.5.1 Typical Types of Noise2.5.2 Coupled Type of Noise; 2.5.3 Colored Noise in Signal Processing View; References; 3 White Noise: Applications and Mathematical Modeling; 3.1 Overview; 3.2 Practical and Real-Life Applications of White Noise; 3.2.1 White Noise in Electronics Engineering; 3.2.2 White Noise in Building Acoustics; 3.2.3 White Noise for Tinnitus Treatment; 3.2.4 White Noise to Improve the Work Environment; 3.2.5 White Noise in Earthquake Simulation; 3.2.6 Mathematical Modeling of Gaussian White Noise as Pavement Condition; References; 4 Mechanical Structures: Mathematical Modeling
: 4.1 Overview4.1.1 Degrees of Freedom; 4.1.2 Periodical System Response; 4.1.3 Harmonic Motion; 4.1.4 Frequency; 4.1.5 Amplitude; 4.1.6 The Mean Square Amplitude; 4.1.7 Free and Forced Vibrations; 4.1.8 Phasor; 4.2 Single Degree of Freedom Mechanical Systems; 4.3 SODF Free Motion; 4.4 Damped Motion of Single Degree of Freedom Systems; 4.5 Forced Response of SDOF Systems; 4.6 Car Suspension Types as Mechanical Structures and Performance; 4.6.1 Passive Suspension; 4.6.2 Semi-active Suspension; 4.6.3 Active Suspension; 4.6.4 Mathematical Modeling of Passive Suspension System
: 4.6.5 Mathematical Modeling Active Suspension SystemReferences; 5 Noise Control Techniques; 5.1 Overview; 5.2 Adaptive Noise Filter; 5.3 Adoptive Noise Cancelation; 5.4 PID Controller; 5.4.1 P Controller; 5.4.2 I Controller; 5.4.3 D Controller; 5.4.4 PI Controller; 5.4.5 PD Control; 5.4.6 Mathematical Modeling of the PID Controller; 5.5 Sliding Mode Control; 5.5.1 Mathematical Model of the Sliding Mode Controller; References; 6 Modeling and Control of the Effect of the Noise on the Mechanical Structures; 6.1 Overview; 6.2 Active Suspension System; 6.3 Design of PID Controller; 6.3.1 Results
: 6.4 Design of Sliding Mode Controller6.4.1 Stability in the Sense of Lyapunov; 6.4.2 Asymptotic Model; 6.4.3 Lyapunov's Direct/Second Method; 6.4.4 Conclusion; References
Abstract : 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.
Subject : Gaussian processes.
Subject : Stochastic processes.
Subject : White noise theory.
Subject : Gaussian processes.
Subject : MATHEMATICS-- Applied.
Subject : MATHEMATICS-- Probability Statistics-- General.
Subject : Stochastic processes.
Subject : White noise theory.
Dewey Classification : ‭519.22‬
LC Classification : ‭QA274.29‬
Added Entry : Yazdi, Poorya Ghafoorpoor
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