查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

112-2 328524 智慧型控制 1 3.0 3 ★ 蕭耀榮車輛所
能源與車輛外生專班
機電博所 8 1 車輛所、車輛能源外生和機電博班合開

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
112-2	328524	智慧型控制	1	3.0	3	★	蕭耀榮	車輛所能源與車輛外生專班機電博所	8	1	車輛所、車輛能源外生和機電博班合開

教學大綱與進度：

教師姓名蕭耀榮　教師諮商時間(Office Hours)

Email yshiao@ntut.edu.tw

最後更新時間 2024-04-25 00:33:06

課程大綱 This course will teach the knowledge-based control methods, mainly focuses on Fuzzy logic control and Gray system (and neural network if time is available). The Fuzzy method includes Fuzzy Logic theory and Fuzzy Logic Control. From this course, students can understand Fuzzy theory and can apply FLC and Grey in mechanical, electrical, or vehicle systems. The topics covered in this lecture include: fuzzy set, membership function, fuzzification / defuzzification, fuzzy reasoning and inference, FLC design, FLC applications, grey theory, grey prediction, gray modeling, and grey control (and neural-network if time is available). This lecture needs all students to do a 2- or 3-person team project to design and implement a fuzzy logic control to a real system. Before the core lessons, a review of system dynamics will be provided.

課程進度 week course content 1 Introduction and Fuzzy logic 2 review of control system dynamics 3 Fuzzy sets / Fuzzy relations term project announce 4 Fuzzy graphs and arithmetic Fuzzy rules 5 workshop I - membership function 6 Fuzzy implications 7 Fuzzy approximate reasoning / Fuzzy logic and probability 8 workshop II - LabVIEW programming I 9 workshop III - LabVIEW programming II / Signals and DAQ 10 Fuzzy logic control 11 Design of Fuzzy controller 12 Design of Fuzzy controller 13 workshop IV – tuning controller 14 writing Exam 15 Fuzzy PID control / TSK fuzzy control 16 grey theory 17 project presentation and demonstration 18 project discussion * might be adjusted according to student learning situation

評量方式與標準 midterm exam: 40% project reports, demonstration and presentation: 45% workshop 10% class performance: 5% * might be adjusted according to student learning situation

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
textbook: A Course in Fuzzy Systems and Control, by Li-Xin Wang, published by Prentice Hall reference book: 1. Fuzzy Logic with Engineering Applications, by Timothy Ross 2. class notes

課程諮詢管道 yshiao@ntut.edu.tw

課程對應SDGs指標

備註
project presentation and demonstration will move to Week 16.
Week 17: on-line instruction meet.google.com/hqy-kqxp-vwj
Week 18: on-line instruction meet.google.com/hqy-kqxp-vwj

教師姓名	蕭耀榮　教師諮商時間(Office Hours)
Email	yshiao@ntut.edu.tw
最後更新時間	2024-04-25 00:33:06
課程大綱	This course will teach the knowledge-based control methods, mainly focuses on Fuzzy logic control and Gray system (and neural network if time is available). The Fuzzy method includes Fuzzy Logic theory and Fuzzy Logic Control. From this course, students can understand Fuzzy theory and can apply FLC and Grey in mechanical, electrical, or vehicle systems. The topics covered in this lecture include: fuzzy set, membership function, fuzzification / defuzzification, fuzzy reasoning and inference, FLC design, FLC applications, grey theory, grey prediction, gray modeling, and grey control (and neural-network if time is available). This lecture needs all students to do a 2- or 3-person team project to design and implement a fuzzy logic control to a real system. Before the core lessons, a review of system dynamics will be provided.
課程進度	week course content 1 Introduction and Fuzzy logic 2 review of control system dynamics 3 Fuzzy sets / Fuzzy relations term project announce 4 Fuzzy graphs and arithmetic Fuzzy rules 5 workshop I - membership function 6 Fuzzy implications 7 Fuzzy approximate reasoning / Fuzzy logic and probability 8 workshop II - LabVIEW programming I 9 workshop III - LabVIEW programming II / Signals and DAQ 10 Fuzzy logic control 11 Design of Fuzzy controller 12 Design of Fuzzy controller 13 workshop IV – tuning controller 14 writing Exam 15 Fuzzy PID control / TSK fuzzy control 16 grey theory 17 project presentation and demonstration 18 project discussion * might be adjusted according to student learning situation
評量方式與標準	midterm exam: 40% project reports, demonstration and presentation: 45% workshop 10% class performance: 5% * might be adjusted according to student learning situation
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 textbook: A Course in Fuzzy Systems and Control, by Li-Xin Wang, published by Prentice Hall reference book: 1. Fuzzy Logic with Engineering Applications, by Timothy Ross 2. class notes
課程諮詢管道	yshiao@ntut.edu.tw
課程對應SDGs指標
備註	project presentation and demonstration will move to Week 16. Week 17: on-line instruction meet.google.com/hqy-kqxp-vwj Week 18: on-line instruction meet.google.com/hqy-kqxp-vwj