Modern Fuzzy Control Systems and Its Applications

Physics

Amplitude Modulation of Pulsation Modes in Delta Scuti Stars By Dominic Bowman 
Things That Float and Things That Don’t by David A. Adler
“Modern Fuzzy Control Systems and Its Applications” ed. by S. Ramakrishnan
“Value of Information in the Earth Sciences Integrating Spatial Modeling and Decision Analysis” by Jo Eidsvik, Tapan Mukerji, Debarun Bhattacharjya
“Quantitative Seismic Interpretation Applying Rock Physics Tools to Reduce Interpretation Risk” by Per Avseth, Tapan Mukerji, Gary Mavko

Amplitude Modulation of Pulsation Modes in Delta Scuti Stars By Dominic Bowman 

English | PDF | 2017 | 216 Pages | ISBN : 3319666487 | 19.67 MB

This outstanding thesis by Dominic Bowman provides a thorough investigation of long-standing questions as to whether amplitude modulation is astrophysical, whether it offers insights into pulsating stars, and whether simple beating of modes with stable amplitudes is unrecognised because of a lack of frequency resolution.
In this thesis, the author studied a uniform sample of 983 delta Scuti stars—the most common type of main-sequence heat engine pulsator—that were observed nearly continuously for 4 years at stunning photometric precision of only a few parts per million by the Kepler space mission. With no mission planned to supersede the Kepler 4-year data set, this thesis will stand as the definitive study of these questions for many years. With revolutionary photometric data from the planet-hunting Kepler space mission, asteroseismic studies have been carried out on many hundreds of main-sequence solar-type stars and about 10,000 red giants. It is easy to understand why those stochastically driven stars have highly variable amplitudes. Over much of the rest of the Hertzsprung–Russell (HR) diagram, stellar pulsations are driven by heat mechanisms, which are much more regular than the stochastic driving in solar-like pulsators. Yet for decades, amplitude and frequency modulation of pulsation modes have been observed in almost all types of heat-driven pulsating stars. The author shows that the amplitude and frequency modulation are astrophysical, and he has investigated their implications and prospects to provide new insights into the delta Scuti stars and the many other types of heat-engine pulsators across the HR diagram.

Things That Float and Things That Don’t by David A. Adler

English | August 31st, 2014 | ISBN: 0823431762 | 33 pages | PDF | 5.58 MB

It can be surprising which objects float and which don’t. An apple floats, but a ball of aluminum foil does not. If that same ball of foil is shaped into a boat, it floats! Why? And how is it possible that a huge ship made of steel can float? Answering these questions about density and flotation is David A. Adler’s clear, concise text, paired with Anna Raff’s delightful illustrations. Activities that demonstrate the properties of flotation are included.

“Modern Fuzzy Control Systems and Its Applications” ed. by S. Ramakrishnan

ITOe | 2017 | ISBN: 953513390X 9535133896 9789535133896 9789535133902 | 444 pages | PDF | 69 MB

This book provides a rich set of modern fuzzy control systems and their applications and will be a useful resource for the graduate students, researchers, and practicing engineers in the field of electrical engineering.
Control systems play an important role in engineering. Fuzzy logic is the natural choice for designing control applications and is the most popular and appropriate for the control of home and industrial appliances. Academic and industrial experts are constantly researching and proposing innovative and effective fuzzy control systems.
This book is an edited volume and has 21 innovative chapters covering applications of fuzzy control systems in energy and power systems, navigation systems, imaging, and industrial engineering.
Contents
1 Stabilizing Fuzzy Control via Output Feedback
2 Non-Fragile Guaranteed Cost Control of Nonlinear Systems with Different State and Input Delays Based on T-S Fuzzy Local Bilinear Models
3 Fuzzy Interpolation Systems and Applications
4 Implementing Complex Fuzzy Analysis for Business Planning Systems
5 A New Methodology for Tuning PID‐Type Fuzzy Logic Controllers Scaling Factors Using Genetic Algorithm of a Discrete‐Time System
6 Applications of the Fuzzy Logic to the Energy Conversion Systems on Board of UAVs
7 Fuzzy Logic Energy Management for a Residential Power System Using Renewable Energy Sources
8 Robust Adaptive Fuzzy Control for a Class of Switching Power Converters
9 Fuzzy Optimization Control: From Crisp Optimization
10 An Approach of Fuzzy Logic H∞ Filter in Mobile Robot Navigation Considering Non-Gaussian Noise
11 Indoor Mobile Positioning Using Neural Networks and Fuzzy Logic Control
12 A Fuzzy Logic Approach for Separation Assurance and Collision Avoidance for Unmanned Aerial Systems
13 Precision Improvement in Inertial Miniaturized Navigators Based on Fuzzy Logic Denoising of Sensors Signals
14 A Fuzzy Belief-Desire-Intention Model for Agent-Based Image Analysis
15 ANFIS Definition of Focal Length for Zoom Lens via Fuzzy Logic Functions
16 EMG-Controlled Prosthetic Hand with Fuzzy Logic Classification Algorithm
17 Fuzzy Logic Application, Control and Monitoring of Critical Machine Parameters in a Processing Company
18 Use of Fuzzy Logic for Design and Control of Nonlinear MIMO Systems
19 Vibration Suppression Controller of Multi-Mass Resonance System Using Fuzzy Controller
20 Design and Stability Analysis of Fuzzy‐Based Adaptive Controller for Wastewater Treatment Plant
21 A Model for Evaluating Soil Vulnerability to Erosion Using Remote Sensing Data and A Fuzzy Logic System

“Value of Information in the Earth Sciences Integrating Spatial Modeling and Decision Analysis” by Jo Eidsvik, Tapan Mukerji, Debarun Bhattacharjya

CamUni Press | 2015 | ISBN: 1316434966 9781316434963 | 400 pages | PDF | 24 MB

This book presents a unified framework for assessing the value of potential data gathering schemes by integrating spatial modeling and decision analysis, with a focus on the Earth sciences. The authors discuss and compare the value of imperfect versus perfect information, and the value of total versus partial information, where only subsets of the data are acquired. This book is of interest to students, researchers, and industry professionals in the Earth and environmental sciences, who use applied statistics and decision analysis techniques, and particularly to those working in petroleum, mining, and environmental geoscience.
Value of Information (VOI) is a concept in decision theory for analyzing the value of obtaining additional information to solve a problem. Gathering the right kind and the right amount of information is crucial for any decision-making process. Already commonly used in medicine, economics, and finance, VOI is becoming increasingly popular with Earth scientists.
Concepts are illustrated using a suite of quantitative tools from decision analysis, such as decision trees and influence diagrams, as well as models for continuous and discrete dependent spatial variables, including Bayesian networks, Markov random fields, Gaussian processes and multi-point statistics. Numerous examples illustrate the applicability of VOI to topics such as energy, geophysics, geology, mining, and environmental science. Real datasets and Matlab codes are also provided as online supplementary material here.

“Quantitative Seismic Interpretation Applying Rock Physics Tools to Reduce Interpretation Risk” by Per Avseth, Tapan Mukerji, Gary Mavko

CamUni Press | 2008 | ISBN: 1107320275 9781107320277 | 408 pages | PDF | 20 MB

This volume provides an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs. The book is intended for students of petroleum geoscience as well as professionals in the field.
The book demonstrates how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes. The authors provide an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs using well-log and seismic data. They illustrate the advantages of these new methodologies, while providing advice about limitations of the methods and traditional pitfalls.
This book is aimed at graduate students, academics and industry professionals working in the areas of petroleum geoscience and exploration seismology. It will also interest environmental geophysicists seeking a quantitative subsurface characterization from shallow seismic data. The book includes problem sets and a case-study, for which seismic and well-log data, and Matlab codes. These resources will allow readers to gain a hands-on understanding of the methodologies.
Contents
Preface
1 Introduction to rock physics
1.1 Introduction
1.2 Velocity–porosity relations for mapping porosity and facies
1.3 Fluid substitution analysis
1.4 Pressure effects on velocity
1.5 The special role of shear-wave information
1.6 Rock physics “What ifs?”: fluid and lithology substitution
1.7 All models are wrong … some are useful
2 Rock physics interpretation of texture, lithology and compaction
2.1 Introduction
2.2 The link between rock physics properties and sedimentary microstructure: theory and models
2.3 Example: rock physics interpretation of microstructure in North Sea turbidite systems
2.4 Relating rock physics to lithofacies and depositional environments
2.5 Example: seismic lithofacies in a North Sea turbidite system
2.6 Rock physics depth trends
2.7 Example: rock physics depth trends and anomalies in a North Sea field
2.8 Rock physics templates: a tool for lithology and fluid prediction
2.9 Discussion
2.10 Conclusions
3 Statistical rock physics: Combining rock physics, information theory, and statistics to reduce uncertainty
3.1 Introduction
3.2 Why quantify uncertainty?
3.3 Statistical rock physics workflow
3.4 Information entropy: some simple examples
3.5 Monte Carlo simulation
3.6 Statistical classification and pattern recognition
3.7 Discussion and summary
4 Common techniques for quantitative seismic interpretation
4.1 Introduction
4.2 Qualitative seismic amplitude interpretation
4.3 AVO analysis
4.4 Impedance inversion
4.5 Forward seismic modeling
4.6 Future directions in quantitative seismic interpretation
5 Case studies: Lithology and pore-fluid prediction from seismic data
5.1 Case 1: Seismic reservoir mapping from 3D AVO in a North Sea turbidite system
5.2 Case 2: Mapping lithofacies and pore-fluid probabilities in a North Sea reservoir using seismic impedance inversions and statistical rock physics
5.3 Case 3: Seismic lithology prediction and reservoir delineation using statistical AVO in the Grane field, North Sea
5.4 Case 4: AVO depth trends for lithology and pore fluid classification in unconsolidated deep-water systems, offshore West Africa
5.5 Case 5: Seismic reservoir mapping using rock physics templates. Example from a North Sea turbidite system
6 Workflows and guidelines
6.1 AVO reconnaissance
6.2 Rock physics “What ifs” and AVO feasibility studies
6.3 RPT analysis
6.4 AVO classification constrained by rock physics depth trends
6.5 Seismic reservoir characterization constrained by lithofacies analysis and statistical rock physics
6.6 Why and when should we do quantitative seismic interpretation?
7 Hands-on
7.1 Introduction
7.2 Problems
7.3 Project
References
Index
The color plates