Control of Surge in Centrifugal Compressors by Active Magnetic Bearings

Control of Surge in Centrifugal Compressors by Active Magnetic Bearings

Surge Control of Active-magnetic-bearing-suspended Centrifugal Compressors sets out the fundamentals of integrating active magnetic bearing (AMB) rotor suspension technology in compressor systems, and describes how this relatively new bearing technology can be employed in active control of compressor surge initiation. The authors provide a self-contained and comprehensive review of rotordynamics and the fundamentals of AMB technology. The active stabilization of compressor surge employing AMBs in a machine is fully explored, from modeling of instability and controller design, to the implementation and experimental testing of the control algorithm in a specially-constructed, industrial-size centrifugal compression system. The results of these tests demonstrate the great potential of the new surge control method suggested in this text. This book will be useful for engineers in industries that involve turbocompressors and magnetic bearings, as well as for researchers and graduate students in the field of applied control. Whatever their level of experience, engineers working in the fields of turbomachinery, magnetic bearings, rotordynamics and controls will find the material in this book absorbing as all these important aspects of engineering are integrated to create a multi-disciplinary solution to a real-life industrial problem and the book is a suitable introduction to the area for newcomers.

Control of Surge in Centrifugal Compressors by Active Magnetic Bearings

Nature-Inspired Algorithms for Optimisation

Nature-Inspired Algorithms for Optimisation

Sect. I. Introduction — Why Is Optimization Difficult? / Thomas Weise, Michael Zapf, Raymond Chiong, Antonio J. Nebro — The Rationale behind Seeking Inspiration from Nature / Kent C.B. Steer, Andrew Wirth, Saman K. Halgamuge — Sect. II. Evolutionary Intelligence — The Evolutionary-Gradient-Search Procedure in Theory and Practice / Ralf Salomon, Dirk V. Arnold — The Evolutionary Transition Algorithm: Evolving Complex Solutions out of Simpler Ones / Tom Lenaerts, Anne Defaweux, Jano van Hemert — A Model-Assisted Memetic Algorithm for Expensive Optimization Problems / Yoel Tenne — A Self-Adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization / Yu Wang, Bin Li — Differential Evolution with Fitness Diversity Self-Adaptation / Ville Tirronen, Ferrante Neri — Central Pattern Generators: Optimisation and Application / Leena N. Patel — Sect. III. Collective Intelligence — Fish School Search / Carmelo J.A. Bastos Filho … [et al.] — Magnifier Particle Swarm Optimization / Ying Tan, Junqi Zhang — Improved Particle Swarm Optimization in Constrained Numerical Search Spaces / Efren Mezura-Montes, Jorge Isacc Flore-Mendoza — Applying River Formation Dynamics to Solve NP-Complete Problems / Pablo Rabanal, Ismael Rodriguez, Fernando Rubio — Sect. IV. Social-Natural Intelligence — Algorithms Inspired in Social Phenomena / Antonio Neme, Sergio Hernandez — Artificial Immune Systems for Optimization / Heder S. Bernardino, Helio J.C. Barbosa — Sect. V. Multi-Objective Optimisation — Ranking Methods in Many-objective Evolutionary Algorithms / Antonio Lopez Jaimes, Luis Vicente Santana Quintero, Carlos A. Coello Coello — On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II / Antonio J. Nebro, Juan J. Durillo — Improving the Performance of Multiobjective Evolutionary Optimization Algorithms using Coevolutionary Learning /Tse Guan Tan, Jason Teo — Evolutionary Optimization for Multiobjective Portfolio Selection Under Markowitzs Model with Application to the Caracas Stock Exchange / Feijoo Colomine Duran, Carlos Cotta, Antonio J. Fernandez.

Nature-Inspired Algorithms for Optimisation

Soft Computing Approach to Pattern Classification and Object Recognition

Soft Computing Approach to Pattern Classification and Object Recognition

Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework , one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data. In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity. Soft Computing Approach to Pattern Classification and Object Recognition is intended for researchers in the area of pattern classification and computer vision. Other academics and practitioners will also find the book valuable.

Soft Computing Approach to Pattern Classification and Object Recognition

Computing with Hp-Adaptive Finite Elements, Volume 2

Computing with Hp-Adaptive Finite Elements, Volume 2

With a focus on 1D and 2D problems, the first volume of Computing with hp-ADAPTIVE FINITE ELEMENTS prepared readers for the concepts and logic governing 3D code and implementation. Taking the next step in hp technology, Volume II Frontiers: Three-Dimensional Elliptic and Maxwell Problems with Applications presents the theoretical foundations of the 3D hp algorithm and provides numerical results using the 3Dhp code developed by the authors and their colleagues.

Computing with Hp-Adaptive Finite Elements, Volume 2

Hybrid Algorithms for Service, Computing and Manufacturing Systems

Hybrid Algorithms for Service, Computing and Manufacturing Systems

Hybrid Algorithms for Service, Computing and Manufacturing Systems: Routing and Scheduling Solutions explores research developments and applications from an interdisciplinary perspective that combines approaches from operations research, computer science, artificial intelligence, and applied computational mathematics. Contributions cover a range of hybrid algorithm theory and practice as it relates to routing, scheduling, and real-life applications.

Hybrid Algorithms for Service, Computing and Manufacturing Systems

Nonlinear Elasticity

Nonlinear Elasticity

This collection of papers by leading researchers in the field of finite, nonlinear elasticity concerns itself with the behavior of objects that deform when external forces or temperature gradients are applied. This process is extremely important in many industrial settings, such as aerospace and rubber industries. This book covers the various aspects of the subject comprehensively with careful explanations of the basic theories and individual chapters each covering a different research direction. The authors discuss the use of symbolic manipulation software as well as computer algorithm issues. The emphasis is placed firmly on covering modern, recent developments, rather than the very theoretical approach often found. The book will be an excellent reference for both beginners and specialists in engineering, applied mathematics and physics.

Nonlinear Elasticity

Ruby Under a Microscope

Ruby Under a Microscope

Ruby is a powerful programming language with a focus on simplicity, but beneath its elegant syntax it performs countless unseen tasks.,

Ruby Under a Microscope gives you a hands-on look at Ruby’s core, using extensive diagrams and thorough explanations to show you how , is implemented (no C skills required). Author Pat Shaughnessy takes a scientific approach, laying out a series of experiments with Ruby code to take you behind the scenes of how , languages work. You’ll even find information on JRuby and Rubinius (two alternative implementations of Ruby), as well as in-depth explorations of Ruby’s garbage collection algorithm.

Ruby Under a Microscope

Python Algorithms, 2nd Edition

Python Algorithms, 2nd Edition

Python Algorithms, 2nd Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.,

The book deals with some of the most important and challenging areas of , and computer science in a highly readable manner. It covers both algorithmic theory and programming practice, demonstrating how theory is reflected in real Python programs. Well-known algorithms and data structures that are built into the Python language are explained, and the user is shown how to implement and evaluate others.

Python Algorithms, 2nd Edition

Python Algorithms

Python Algorithms

Python Algorithms explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.,

The book is intended for Python programmers who need to learn about algorithmic problem-solving, or who need a refresher. Students of computer science, or similar programming-related topics, such as bioinformatics, may also find the book to be quite useful.

Python Algorithms