This unique book integrates the fundamentals of artificial intelligence and systems control in a framework that can be applied in simple dynamic systems, as well as in a large-scale system of systems for aviation, defense, and distributed manufacturing systems. Wherever possible, MATLAB® code is used to simulate discussed results. The projects included will enable readers to obtain firsthand experience with the concepts. By learning, testing, and simulating important theories used in modern systems engineering, readers will discover emerging opportunities in a field that will revolutionize the…mehr
This unique book integrates the fundamentals of artificial intelligence and systems control in a framework that can be applied in simple dynamic systems, as well as in a large-scale system of systems for aviation, defense, and distributed manufacturing systems. Wherever possible, MATLAB® code is used to simulate discussed results. The projects included will enable readers to obtain firsthand experience with the concepts. By learning, testing, and simulating important theories used in modern systems engineering, readers will discover emerging opportunities in a field that will revolutionize the way large organizations, factories, and manmade systems are managed.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Thrishantha Nanayakkara was a postdoctoral research fellow at the Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland. From 2003 to 2007, he was a faculty member at the University of Moratuwa, Sri Lanka, and was the principal investigator of the "Laboratory for Intelligent Field Robots" at the Department of Mechanical Engineering. Dr. Nanayakkara was also the founding general chair of the International Conference on Information and Automation, and is an associate editor of the Journal of Control and Intelligent Systems. At present, he is a fellow in the Radcliffe Institute, Harvard University, and a research affiliate of the Computer Science and Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Ferat Sahin currently serves as the deputy editor-in-chief for International Journal of Computers and Electrical Engineering and an associate editor for IEEE Systems Journal and AutoSoft Journal, as also serves as the technical cochair of the IEEE SMC International Conference on System of Systems Engineering (SOSE 2008 and SOSE 2009). He is also the director of the Multi Agent Bio-Robotics Laboratory at Rochester Institute of Technology (RIT), where he is also currently an associate professor. Mo M. Jamshidi has served in various capacities with the U.S. Air Force Research Laboratory, the U.S. Department of Energy, NASA Headquarters, NASA JPL, Oak Ridge National Laboratory, and the Los Alamos National Laboratory. He has also served in various academic and industrial positions at various national and international organizations including IBM and GM Corporation. In 1999, he was a NATO Distinguished Professor in Portugal, and in 2008, he was a UK Royal Academy of Engineering fellow in the UK. Dr. Jamshidi is currently the Lutcher Brown endowed chair professor at the University of Texas, San Antonio.
Inhaltsangabe
Elements of a Classical Control System. System of Systems Simulation. Observer Design and Kalman Filtering. Fuzzy Systems-Sets, Logic, and Control. Neural Network-Based Control. Introduction to System of Systems. Control of System of Systems. Reward-Based Behavior Adaptation. An Automated System to Induce and Innovate Advanced Skills in a Group of Networked Machine Operators. A System of Intelligent Robots-TrainedAnimals-Humans in a Humanitarian Demining Application. Robotic Swarms for Mine Detection System of Systems Approach. Index.
Elements of a Classical Control System. System of Systems Simulation. Observer Design and Kalman Filtering. Fuzzy Systems-Sets, Logic, and Control. Neural Network-Based Control. Introduction to System of Systems. Control of System of Systems. Reward-Based Behavior Adaptation. An Automated System to Induce and Innovate Advanced Skills in a Group of Networked Machine Operators. A System of Intelligent Robots-TrainedAnimals-Humans in a Humanitarian Demining Application. Robotic Swarms for Mine Detection System of Systems Approach. Index.
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