Recent Advances in Composite Materials

Sample

Jinkun Liu

<p><b><i>Radial Basis</i></b><b><i> Function (RBF)</i></b><b><i> Neural Network Control</i></b> <b><i>for Mechanical Systems</i></b> is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design. <br> <br>This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation. </p><p><b>Jinkun Liu</b> is a professor at Beijing University of Aeronautics and Astronautics.</p>

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Balkrishna S. Annigeri, Kadin Tseng

The Boundary Element Method (BEM) has become established as an effective tool for the solution of problems in engineering science. The purpose of this Symposium has been to provide a forum for current research in BEM for linear and nonlinear problems in solid and fluid mechanics and related areas. The topics covered in this volume include rotary-wing aerodynamics, unsteady aerodynamics, design and optimization, elasticity, elasto-dynamics and elastoplasticity, fracture mechanics, acoustics, diffusion and wave motion, thermal anal- ysis, mathematical aspects and boundary/finite element coupled methods. A special session was devoted to par- allel/vector supercomputing with emphasis on massive parallelism.

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J.J. Brey ... [et al.], eds

The book aims to give an overview of the previous Sitges Conferences, which have been held during the last 25 years, with special emphasis on topics related to non-equilibrium phenomena. It includes review articles and articles dealing with new trends in the subject, written by scientists who have played an important role in the development of this area. The book is intended as a commemorative edition of the Sitges Conferences. Graduate students of physics and researchers will find this a stimulating account of the development of non-equilibrium statistical mechanics in the last years, covering a wide scope of topics: kinetic theory, hydrodynamics, fluctuation phenomena and stochastic processes, relaxation phenomena, kinetics of phase transitions, growth kinetics, and so on.

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Yu. A. Mitropolskii, Nguyen Dao

The present volume addresses the application of asymptotic methods in nonlinear oscillations. Such methods see a large variety of applications in physics, mechanics and engineering. The advantages of using asymptotic methods in solving nonlinear problems are firstly simplicity, especially for computing higher approximations, and secondly their applicability to a large class of quasi-linear systems. In contrast to the existing literature, this book is concerned with the applied aspects of the methods concerned and also contains problems relevant to the everyday practice of engineers, physicists and mathematicians. Usually, dynamics systems are classified and examined by their degrees of freedom. This book is constructed from another point of view based upon the originating mechanism of the oscillations: free oscillation, self-excited oscillation, forced oscillation, and parametrically excited oscillation. The text has been designed to cover material from the elementary to the more advanced, in increasing order of difficulty. It is of considerable interest to both students and researchers in applied mathematics, physical and mechanical sciences, and engineering.