Showing results for "xiaofeng lin"
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2019
EN
This atlas aims to provide a ‘one-stop’ reference source of basic data on tropical marine ciliates that should be used for researchers worldwide. As one of main components, ciliates play vital roles in the microbial food web. Studies of ciliate diversity are, however, constrained by a lack of modern monographs and guides for the identification of tropical marine ciliates. Therefore, an image-rich guide or atlas like this book will undoubtedly be of great benefit for those who are not train...
Self-Learning Optimal Control of Nonlinear Systems
Adaptive Dynamic Programming Approach
2017
EN
This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learnin...
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- Series -
- Engineering (R0)
2008
EN
Servo Motors and Industrial Control Theory presents the fundamentals of servo motors and control theory in a manner that is accessible to undergraduate students, as well as practitioners who may need updated information on the subject. Graphical methods for classical control theory have been replaced with examples using mathematical software, such as MathCad and MatLab, to solve real-life engineering control problems. State variable feedback control theory, which ...
Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
Design, Analysis and Matlab Simulation
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- Engineering (R0)
2013
EN
Radial Basis Function (RBF) Neural Network Control for Mechanical Systems 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...
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- Engineering (R0)
2011
EN
In the process industries there is an ongoing need for improvement of the opera tion of the process. One of the disciplines that will help the process engineer to achieve this is process control. There are many industrial automation systems to day that will offer powerful tools to meet the process control needs of industries with continuous, batch and discrete operations. Advanced control solutions sustain and improve the plant's competitiveness by ensuring: - safe operations - compliance ...
Spatial Filtering for the Control of Smart Structures
An Introduction
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- Engineering (R0)
2009
EN
What follows is my personal perspective on early events that played a signi?cant role in the formation of the ?eld now known as Smart Structures. It is by no means meant to be all inclusive or de?nitive in any way, but merely an account of personal experiences that ultimately lead to the development of the material contained and presented herein. On March 23, 1983 then President Ronald Reagan announced his intentions to develop a new system to reduce the threat of nuclear attack and end th...
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- Engineering (R0)
2012
EN
Control of Linear Parameter Varying Systems compiles state-of-the-art contributions on novel analytical and computational methods for addressing system identification, model reduction, performance analysis and feedback control design and addresses address theoretical developments, novel computational approaches and illustrative applications to various fields. Part I discusses modeling and system identification of linear parameter varying systems, Part II covers the importance of analysis a...
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- Engineering (R0)
2013
EN
This book has evolved from a course on Mechanics of Robots that the author has thought for over a dozen years at the University of Cassino at Cassino, Italy. It is addressed mainly to graduate students in mechanical engineering although the course has also attracted students in electrical engineering. The purpose of the book consists of presenting robots and robotized systems in such a way that they can be used and designed for industrial and innovative non-industrial applications with no ...
2017
EN
The theme of this volume on systems engineering research is disciplinary convergence: bringing together concepts, thinking, approaches, and technologies from diverse disciplines to solve complex problems. Papers presented at the Conference on Systems Engineering Research (CSER), March 23-25, 2017 at Redondo Beach, CA, are included in this volume.This collection provides researchers in academia, industry, and government forward-looking research from across the globe, written by renowned aca...
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- Engineering (R0)
2013
EN
Nonlinear Approaches in Engineering Applications 2 focuses on the application of nonlinear approaches to different engineering and science problems. The selection of the topics for this book is based on the best papers presented in the ASME 2010 and 2011 in the tracks of Dynamic Systems and Control, Optimal Approaches in Nonlinear Dynamics and Acoustics, both of which were organized by the editors. For each selected topic, detailed concept development, derivations and relevant kno...
Nonsmooth Mechanics
Models, Dynamics and Control
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- Engineering (R0)
2016
EN
Now in its third edition, this standard reference is a comprehensive treatment of nonsmooth mechanical systems refocused to give more prominence to issues connected with control and modelling. It covers Lagrangian and Newton–Euler systems, detailing mathematical tools such as convex analysis and complementarity theory. The ways in which nonsmooth mechanics influence and are influenced by well-posedness analysis, numerical analysis and simulation, modelling and control are explained. Contac...
The BOXES Methodology
Black Box Dynamic Control
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- Engineering (R0)
2012
EN
Robust control mechanisms customarily require knowledge of the system’s describing equations which may be of the high order differential type. In order to produce these equations, mathematical models can often be derived and correlated with measured dynamic behavior. There are two flaws in this approach one is the level of inexactness introduced by linearizations and the other when no model is apparent. Several years ago a new genre of control systems came to light that are much less depen...











