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Analysis and Design of Nonlinear Control Systems
"Analysis and Design of Nonlinear Control Systems" provides a comprehensive and up to date introduction to nonlinear control systems, including system analysis and major control design techniques. The book is self-contained, providing sufficient mathematical foundations for understanding the contents of each chapter. Scientists and engineers engaged in the field of Nonlinear Control Systems will find it an extremely useful handy reference book. Dr. Daizhan Cheng, a professor at Institute of Systems Science, Chinese Academy of Sciences, has been working on the control of nonlinear systems for over 30 years and is currently a Fellow of IEEE and a Fellow of IFAC, he is also the chairman of Technical Committee on Control Theory, Chinese Association of Automation.
Transient Control of Gasoline Engines
Car electronics and digital processing technology have been used to improve the efficiency and performance of engines for decades, yet the main focus is still on static or pseudo-static mode, while the engines loaded in the road vehicles are not always operated at static mode. This book describes the behavior of engine dynamics operated at transient mode as a dynamical system, and uses advanced control theory to design a real-time control strategy that can be used to improve efficiency and emission performance.
Techniques in Discrete and Continuous Robust Systems
"This book will be a useful reference to control engineers and researchers. The papers contained cover well the recent advances in the field of modern control theory."--IEEE Group Correspondence"This book will help all those researchers who valiantly try to keep abreast of what is new in the theory and practice of optimal control."--Control
Proceedings of ELM2019
This book contains some selected papers from the International Conference on Extreme Learning Machine 2019, which was held in Yangzhou, China, December 14–16, 2019. Extreme Learning Machines (ELMs) aim to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental ‘learning particles’ filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inhe...
Recent Contributions in Intelligent Systems
This volume is a brief, yet comprehensive account of new development, tools, techniques and solutions in the broadly perceived “intelligent systems”. New concepts and ideas concern the development of effective and efficient models which would make it possible to effectively and efficiently describe and solve processes in various areas of science and technology. Special emphasis is on the dealing with uncertainty and imprecision that permeates virtually all real world processes and phenomena, and has to properly be modeled by formal and algorithmic tools and techniques so that they be adequate and useful. The papers in this volume concern a wide array of possible techniques exemplified by, on the one hand, logic, probabilistic, fuzzy, intuitionistic fuzzy, neuro-fuzzy, etc. approaches. On the other hand, they represent the use of such systems modeling tools as generalized nets, optimization and control models, systems analytic models, etc. They concerns a variety of approaches, from pattern recognition, image analysis, education system modeling, biological and medical systems modeling, etc.
Braking Systems and NVH Considerations
With production and planning for new electric vehicles gaining momentum worldwide, this book – the fourth in a series of five volumes on this subject – provides engineers and researchers with perspectives on the most current and innovative developments regarding electric and hybrid-electric vehicle technology, design considerations, and components. This book features eight SAE technical papers, published from 2008 through 2010, that provide an overview of research on electric vehicle braking systems, and electric vehicle noise, vibration and harshness (NVH). Topics include: Regenerative braking systems in heavy duty hybrid-electric vehicles Development of an auxiliary pressurized hybrid brake system NVH integration in hybrid vehicles Spherical beamforming and buzz, squeak and rattle (BSR) testing
Current Trends in Nonlinear Systems and Control
This volume is an outgrowth of the workshop "Applications of Advanced Control Theory to Robotics and Automation," organized in honor of the 70th birthdays of Petar V. Kokotovic and Salvatore Nicosia. Both Petar and Turi have carried out distinguished work in the control community, and have long been recognized as mentors as well as experts and pioneers in the field of automatic control, covering many topics in control theory and several different applications. The variety of their research is reflected in this book, which includes contributions ranging from mathematics to laboratory experiments.Main topics covered include:* Observer design for time-delay systems, nonlinear systems, and ident...
NANO-CRYSTALINE SPINEL FERRITE MATERIAL SYNTHESIZED BY DIFFERENT PREPARATIVE CONDITIONS AND THEIR CHARACTERIZATIONS
Nanomaterials are of current focus of research to the scientist and technologists due to their new, interesting and superior properties over the bulk material. The present chapter provides the basic knowledge of nanomaterials. The classification, properties and applications of nanomaterial are briefly discussed. The interest in synthesis and characterization of spinel ferrite nanomaterials has increased almost in last two decades. The work carried out by various researchers on synthesis, characterization and measurement of magnetic and electrical properties of spinel ferrites are reported systematically in literature survey. The aim of the present work is to synthesize spinel ferrite nano¬particles with different preparative conditions and study their structural, magnetic and other properties.
Proceedings of ELM 2018
This book contains some selected papers from the International Conference on Extreme Learning Machine 2018, which was held in Singapore, November 21–23, 2018. This conference provided a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. Extreme Learning Machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental “learning particles” filling the gaps between machine ...
