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- W3022386009 abstract "A novel concept of controller design system is proposed. In this concept, the computer autonomously design an appropriate controller for a user-given control object under the given requirements/constraints. Different from the conventional CAD systems, the computer also plays the role of decision maker in the design process, such as selection of compensator, tuning of compensator parameters, or relaxation of requirements/constraints in case all of them cannot be satisfied. Decisions are made based on knowledge or “Expertise” as to control system design. This expertise is obtained via “Learning by Experimentation” which is a well known technique in the field of machine learning. With this vast and deep expertise, the proposed system can far more flexibly design appropriate controllers than usual expert system type tools even in complicated control problems. Computer simulations have been carried out, and it is verified that the proposed system has the flexible design capability even for MIMO control objects such as satellite attitude control system." @default.
- W3022386009 created "2020-05-13" @default.
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- W3022386009 date "1990-01-01" @default.
- W3022386009 modified "2023-10-02" @default.
- W3022386009 title "NOVEL CONCEPT FOR AUTONOMOUS CONTROLLER DESIGN SYSTEM UTILIZING MACHINE LEARNING APPLIED TO SATELLITE ATTITUDE CONTROL SYSTEM DESIGN PROBLEM" @default.
- W3022386009 cites W2018591239 @default.
- W3022386009 doi "https://doi.org/10.1016/b978-0-08-037027-9.50040-9" @default.
- W3022386009 hasPublicationYear "1990" @default.
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