This comprehensive treatment of digital control theory emphasizes the incorporation of discrete modern controls. The second edition contains material in the following areas W-Transformation Design Methods, Frequency Domain Design Techniques, Robotics Applications, Modern Technology for Digital Control Implementation, and CAD Packages for Control.

Digital Control Systems

Science & Math

Houpis, Constantine H.

Lamont, Gary B.

Technology

Mcgraw-Hill College

The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research, decision science, engineering, computer science and other related disciplines. The explosion in computing power continues to arouse extraordinary interest in stochastic search algorithms that require high computational speed and very large memories. A generic stochastic approach is that of evolutionary algorithms (EA). Such algorithms have been demonstrated to be very powerful and generally applicable for solving different single objective problems. Their fundamental algorithmic structures can also be applied to solving many multi-objective problems. In this book, the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and unique fashion, with detailed customized forms suggested for a variety of applications. Also, extensive MOEA discussion questions and possible research directions are presented at the end of each chapter. For additional information and supplementary teaching materials, please visit the authors' website at http://www.cs.cinvestav.mx/~EVOCINV/bookinfo.html.

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic Algorithms and Evolutionary Computation)

Van Veldhuizen, David A.

Coello Coello, Carlos A.

Reference

Springer, Verlag

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)

Computers & Technology

Coello Coello, Carlos

Computer Science

Springer

Completely revised and updated, written to be understandable for students, and practical in its coverage, this new edition features a range of new engineering applications, such as control of unmanned aerial vehicles (UAVs), wind turbine energy systems, and robotic systems. MATLAB and Simulink integration is found throughout, along with math presented in an understandable way for student readers. Building on basic controls concepts, the book guides readers through the analysis, design, and implementation procedures needed in today's industry.   

Digital Control Systems: Theory, Hardware, and Software with MATLAB, Third Edition

Engineering & Transportation

Engineering

CRC-Press

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

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