Intelligent Control with LabVIEWTM is a fresh and pragmatic approach to the understanding of a subject often clouded by too much mathematical theory. It exploits the full suite of tools provided by LabVIEWTM, showing the student how to design, develop, analyze, and visualize intelligent control algorithms quickly and simply. Block diagrams are used to follow the progress of an algorithm through the design process and allow seamless integration with hardware systems for rapid deployment in laboratory experiments. This text delivers a thorough grounding in the main tools of intelligent control: fuzzy logic systems; artificial neural networks; neuro-fuzzy systems; evolutionary methods; and predictive methods. Learning and teaching are facilitated by: extensive use of worked examples; end of chapter problems with separate solutions; and provision of intelligent control tools for LabVIEWTM.
Intelligent control is a rapidly developing, complex, and challenging field of increasing practical importance and still greater potential. Its applications have a solid core in robotics and mechatronics but branch out into areas as diverse as process control, automotive industry, medical equipment, renewable energy and air conditioning. Intelligent Control with LabVIEW™ is a fresh and pragmatic approach to the understanding of a subject often clouded by too much mathematical theory. It exploits the full suite of tools provided by LabVIEW™, showing the student how to design, develop, analyze, and visualize intelligent control algorithms quickly and simply. Block diagrams are used to follow the progress of an algorithm through the design process and allow seamless integration with hardware systems for rapid deployment in laboratory experiments. This text delivers a thorough grounding in the main tools of intelligent control: • fuzzy logic systems, emulating human reasoning processes; • artificial neural networks, mimicking our ability to learn; • neuro-fuzzy systems for implementing controller adaptation; • evolutionary methods, using the ideas of genetic evolution for optimization; and • predictive methods, giving information about a system’s future behavior. Intelligent Control with LabVIEW™ facilitates the learning and teaching of its subject by: • extensive use of worked examples; • end-of-chapter problems with separate solutions; and • provision of intelligent control tools for LabVIEW™. Graduate and senior undergraduate students learning about intelligent control will find great help in this textbook’s easy-to-read style and graphical programming approach. The book will be of material assistance to instructors interested in using LabVIEW™-based teaching when designing a course in intelligent control. Researchers in intelligent systems who employ LabVIEW™ as a laboratory tool will also benefit from its dedicated support for intelligent control.
9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings
Author: Grigori Sidorov
Publisher: Springer Science & Business Media
Artificial intelligence (AI) is a branch of computer science that models the human ability of reasoning, usage of human language and organization of knowledge, solving problems and practically all other human intellectual abilities. Usually it is charact- ized by the application of heuristic methods because in the majority of cases there is no exact solution to this kind of problem. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Int- ligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2010, SMIA celebrated 10 years of activity related to the organization of MICAI as is represented in its slogan: “Ten years on the road with AI”. MICAI conferences traditionally publish high-quality papers in all areas of arti- cial intelligence and its applications. The proceedings of the previous MICAI events were also published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vols. 1793, 2313, 2972, 3789, 4293, 4827, 5317, and 5845. Since its foun- tion in 2000, the conference has been growing in popularity and improving in quality.
10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011, Proceedings
Author: Ildar Batyrshin
The two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully selected from XXX submissions. The second volume contains 46 papers focusing on soft computing. The papers are organized in the following topical sections: fuzzy logic, uncertainty and probabilistic reasoning; evolutionary algorithms and other naturally-inspired algorithms; data mining; neural networks and hybrid intelligent systems; and computer vision and image processing.
Learning With LabVIEW 2009 introduces students to the basics of LabVIEW programming and relates those concepts to real applications in academia and industry. With LabVIEW, students can design graphical programming solutions to their homework problems and laboratory experiments.
Overview: Virtual Instrumentation using LabVIEW is a pioneer text in the field of Virtual Instrumentation and also as a text on LabVIEW 2009. This book serves the academic community as a literature and form of instruction on VI, and as a practical text for practising technologists. As stalwarts in the field of education, the authors have also taken care to draw a parallel between programming in LabVIEW and in conventional languages. Features: 1. Excellent coverage on the most recent version of LabVIEW, Version 9 2. Brief background of version 7 and 8 enabling smooth transition for users of earlier versions 3. Incorporation of Timed Loops in Chapter on State Machines
First KES International Symposium, KES-AMSTA 2007, Wroclaw, Poland, May 31-June 1, 2007, Proceedings
Author: Ngoc Thanh Nguyen
Publisher: Springer Science & Business Media
This book constitutes the refereed proceedings of the First International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2007, held in Wroclaw, Poland in May/June 2007. Coverage includes agent-oriented Web applications, mobility aspects of agent systems, agents for network management, agent approaches to robotic systems, as well as intelligent and secure agents for digital content management.