Computational Verb Theory
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Computational Verb Theory
Author: Tao Yang
language: en
Publisher: Yang's Scientific Research Institute
Release Date: 2002
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 building 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.
Impulsive Control Theory
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.
Introduction to Fuzzy Systems
Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. To keep pace with and further advance the rapidly developing field of applied control technologies, this book provides systematic training in the analytic theory and rigorous design of fuzzy systems. Almost entirely self-contained, it establishes a brief, yet sufficient foundation for designing and analyzing fuzzy intelligent and control systems. It clearly explains fuzzy sets, fuzzy logic, fuzzy inference, approximate reasoning, fuzzy rule base, basic fuzzy PID control systems, and more. This outstanding text includes teaching examples as well as problem exercises, and it can easily be used as a classroom text or tutorial for self-study that will prepare readers for further work in the field.