A multi-agent system model of a diesel engine using rule induction |
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| Authors: | Md Mosharrof Hossain Sarker M Osman Tokhi |
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| Affiliation: | 1. Department of EEE, Islamic University of Technology (IUT), Gazipur 1704, Bangladesh;2. Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S1 3JD, UK;1. School of Journalism, Indiana University, United States;2. School of Media & Communication, Korea University, Republic of Korea;1. Faculty of Electrical Engineering, University of Shahrood, Shahrood 3619995161, Iran;2. Faculty of Electrical Engineering, University of Shahrood, Shahrood 3619995161, Iran;1. Dept of Electrical and Computer Engineering, New Jersey Institute of Technology (NJIT), Newark, NJ 07102, USA;2. Dept of Medicine-Hematology/Oncology, Graduate School of Biomedical Science, Rutgers-New Jersey Medical School, NJ 07103, USA;3. Laboratory of Cellular and Molecular Biology, NIDDK, National Institutes of Health (NIH), Bethesda, MD 20892-0851, USA;1. School of Business, East China University of Science and Technology, Shanghai 200237, China;2. School of Science, East China University of Science and Technology, Shanghai 200237, China;3. Research Center for Econophysics, East China University of Science and Technology, Shanghai 200237, China;4. Institute of Physics, Academia Sinica, Taipei 115, Taiwan;5. Alibaba Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou 311121, China;1. Key Lab of Big Data Mining and Knowledge Management, University of Chinese Academy of Sciences, Beijing, China;2. Department of Automation, Tsinghua University, Beijing, China;3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences (CAS), China;4. National Center for Mathematics and Interdisciplinary Sciences, CAS, Beijing, China;5. Key Lab of Intelligent Information Processing, Institute of Computing Technology, CAS, Beijing, China;6. Department of Computer, Shandong University, Weihai, China |
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| Abstract: | The proliferation of a multi-agent system (MAS) and ideas from Artificial Intelligence (AI)/distributed AI have changed the way systems, in general are controlled, and operation of a system (diesel engine) in particular is automated. In this paper a distributed multi-agent architecture for a diesel engine and the knowledge sources that handle electricity generation is developed. Electronic devices and components used for data handling are described. The sensed data are presented in fuzzy logic and calculated in entropy values and depicted in a decision hierarchy. A comparative performance assessment of the proposed multi-agent based system with an existing system is presented and discussed. |
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