Background
Yang, Tao was born on January 1, 1970 in Wuhan, Hubei, China. Arrived in the United States, 1995. Son of Linbao Yang and Hengqing Zou.
(Historically, fuzzy dynamic systems (FDS) were studied un...)
Historically, fuzzy dynamic systems (FDS) were studied under different names such as dynamic fuzzy systems, fuzzy differential equations, fuzzy difference equations, fuzzy contractive maps, fuzzy systems, iterated fuzzy systems, fuzzy mappings and fuzzy logic controller. Fuzzy dynamic systems can be generated from conventional dynamic systems by using two methods. In the first method, the fuzzy extension principle can be used to transform a conventional equation into a fuzzy model. FDS generated by this method is called type-I FDS. A type-I FDS is defined by a state space of fuzzy terms and conventional evolving laws. The second method of generating FDS is to use fuzzy compositions. In this method, the corresponding FDS is called type-II FDS. In a type-II FDS, both the state space and the evolving laws are described in the form of fuzzy terms. The evolving laws can be represented as fuzzy relations. So far, almost all works on fuzzy dynamic systems(FDS) were focused on either mathematical theoretical aspects or conceptual engineering protocol, there were no work yet to address the applications of fuzzy dynamic systems to information sciences, natural language processing and artificial intelligence(AI). On the other hand, the study of computational verbs shows that to model a computational verb, we need to use dynamic systems. This opens the possibility of using FDS to model computational verbs and find applications to computational verb theory and furthermore to information sciences. As the first monograph on fuzzy dynamic systems(FDS), this timely monograph provided a systematic structure of FDS from both theoretical and applications points of view, and applies FDS to recently developed computational verb theory. This monograph can be used as a textbook or complementary materials to graduate students and researchers from nonlinear dynamic systems, fuzzy mathematics, fuzzy logic, artificial intelligent and linguistics.
http://www.amazon.com/gp/product/0972121226/?tag=2022091-20
(The concept of impulsive control and its mathematical fou...)
The concept of impulsive control and its mathematical foundation called - pulsive di?erential equations,or di?erential equations with impulse e?ects,or di?erential equations with discontinuous righthand sides have a long history. In fact, in mechanical systems impulsive phenomena had been studied for a long time under di?erent names such as: mechanical systems with impacts. The study of impulsive control systems (control systems with impulse e?ects) has also a long history that can be traced back to the beginning of modern control theory. Many impulsive control methods were successfully developed under the framework of optimal control and were occasionally called impulse control. The so called impulse control is not exactly the impulsive control as will be de?ned in this book. The reader should not mixup these two kinds of control methods though in many papers they were treated as the same. - cently, there is a tendency of integrating impulsive control into hybrid control systems. However, this e?ort does not have much help to the development of impulsive control theory because impulsive systems can only be studied by the very mathematical tool based on impulsive di?erential equations. The e?ort to invent a very general framework of hybrid control system for stu- ing impulsive control and other hybrid control problems will contribute no essential knowledge to impulsive control.
http://www.amazon.com/gp/product/354042296X/?tag=2022091-20
(Computational verb theory (CV) was invented by Tao Yang i...)
Computational verb theory (CV) was invented by Tao Yang in 1997 in the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley. Since then, CV has been growing up into a multidisciplinary scientific field attracting attentions of researchers from information sciences, linguistics, biology, psychology, physics and computer sciences. Pushed far beyond fuzzy theory, CV is the first step towards building a complete artificial language into machines. The ultimate goal of CV is to build dynamic irrational intelligence into machines. CV also bridges the gap between physics and linguistics to give birth to a measurable linguistics; namely, physical linguistics. In physical linguistics, many classical linguistic problems such as verb classification and telicity in verbs were studied from an entirely new standpoint. Surprisingly, the bifurcation theory of dynamic systems leads to solid and precise solutions to many linguistic problems such as verb categorizing tests and verb ambiguity. CV also provides a platform of solving engineering problems based on dynamic experiences in the form of verb if-then rules. Such engineering applications include verb controllers, verb prediction and verb image processing. Written by the founding father of CV, this is a lucid, solid and timely monograph for professionals, scientists, academic researchers and students in information sciences, linguistics, fuzzy logic, computer sciences and control engineering.
http://www.amazon.com/gp/product/0972121218/?tag=2022091-20
(In the human language system there are two grammatical ce...)
In the human language system there are two grammatical centers, nouns and verbs. A noun is described as the name of any person, place, or thing; while a verb is a word that shows any form of action. Human beings use words to express their own thoughts and to interpret the intentions of others. Natural languages play a very important role in human intelligence. To build intelligent machines, we need to bridge machines and human brains with a communication interface-a language system. However, we still need a paradigm to implement dynamic verbs in machines. This book explains how computational verb systems were developed in this context, and "living" verbs are embedded into machines. By using these computational verb systems, "dynamic" knowledge and experience can be embedded into machine intelligence. It also explains the unique role played by computational verb systems in information and sciences, and how we need to know different knowledge representing paradigms used in informational systems. In this book, not only the machine models of verbs, but also a complete artificial language studied from the dynamic model of human perception.
http://www.amazon.com/gp/product/1560729716/?tag=2022091-20
(Cellular neural networks (CNN) were invented by Chua and ...)
Cellular neural networks (CNN) were invented by Chua and Yang in 1988 in the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley. Since then, CNN has become an extremely active field of researches to massive parallel computation, cellular automata, image processing, visual VLSI chips and vision processors. Written by one of the leading figures in the field, this is a lucid and comprehensive reference book for professionals, academic researchers and students. It covers almost all aspects of CNN including: local rules principles, structure and parameter design, continuous-time CNN, discrete-time CNN, and multi-stage CNN. Also, a systematic classification system of different CNN image operations is presented based on major local rule classes. Hundreds of CNN image operations together with their design processes were presented. The difference and equivalence between continuous-time and discrete-time CNN were formally formulated. The Generalization Principle and newly found Selected and Inverse Selected Principle make it painless to derive tens of CNN operators from a known one. 124 black-and-white figures were used to illustrate the functions of CNN image operators. Many CNN and DTCNN image operations were first time reported to the public, for example, negative CNN classes, selected CNN classes, inverse selected CNN classes, logic-morphologic CNN classes and many more. An extremely detailed index could be used as a fast and efficient looking-up table of hundreds of CNN operators.
http://www.amazon.com/gp/product/097212120X/?tag=2022091-20
(This book applies the design principles of cellular image...)
This book applies the design principles of cellular image operators to a hardware platform called cellular neural network (CNN). CNN is a member of the hardware family called vision chips. Based on state-of-the-art technology, a vision chip is defined as a VLSI chip that can perform image processing tasks. CNN is mostly nourished from two main fields: One is cellular automata and the other is neural network. As an interdisciplinary product, the study of CNN mainly focuses on finding specialised design principle called template design. CNN utilises cellular hardware structures to gain ultrahigh image processing speed.
http://www.amazon.com/gp/product/1590333357/?tag=2022091-20
(Cellular operations will play a critical role in designin...)
Cellular operations will play a critical role in designing and programming nano-scale computers. In this book a cellular operation is defined as an operation which uses information within a neighborhood to perform either local or global computational tasks. Cellular operations can be used to solve complex and computation-intensive problems such as parallel learning. Cellular operations can also be used to simulate and explain different kinds of physical phenomena such as small-world phenomena. Since many cellular computational platforms, such as cellular automata and cellular neural networks are proven to be as universal as the Turing machine, cellular operations can be used to solve any computable problems in Turing sense. Therefore, a cellular computer based on cellular operations can serve as an all-purpose computer. The cellular image operators presented in this book can help the design of image processing tasks for different hardware platforms based on either CPU or cellular processors. This book also provides a powerful toolbox for designing cellular hardware platforms such as nano-scale array processors and VLSI array processors. On the one hand, this book can help physicists to understand how cellular automata and fuzzy cellular automata can be used to solve engineering problems. On the other hand, this book can help electrical engineers to design software for cellular computers based on either micro-electronics or nano-electronics. This book can also serve as a handbook of parallel image processing for experts from the image processing community.
http://www.amazon.com/gp/product/1560729791/?tag=2022091-20
researcher information science educator
Yang, Tao was born on January 1, 1970 in Wuhan, Hubei, China. Arrived in the United States, 1995. Son of Linbao Yang and Hengqing Zou.
Bachelor of Science, Tongji University, Shanghai, 1990. Master of Engineering, Tongji University, Shanghai, 1993.
Teacher Shanghai University, 1993—1995. Researcher University California, Berkeley, 1995—2001. Chief scientist Yangs Science Research Institute, Tucson, since 2002.
(Historically, fuzzy dynamic systems (FDS) were studied un...)
(The concept of impulsive control and its mathematical fou...)
(Cellular neural networks (CNN) were invented by Chua and ...)
(Computational verb theory (CV) was invented by Tao Yang i...)
(This book applies the design principles of cellular image...)
(Cellular operations will play a critical role in designin...)
(In the human language system there are two grammatical ce...)
Married Chunmei Yang.