Course title
計測・制御   [Measurement & Control]
Course category technology speciality courses  Requirement   Credit 2 
Department   Year 24  Semester 3rd 
Course type 3rd  Course code 022262
Instructor(s)
石田 寛   [ISHIDA Hiroshi]
Facility affiliation Graduate School of Bio-Applications and Systems Engineering Office afjgxte/L1151  Email address

Course description
In advanced medical care, various tools and instruments are used to diagnose physical/mental conditions of patients. However, no tool or instrument is error-free. In this course, students will learn basics of instrumentation engineering. The focus will be placed on treatment of errors and least-squares estimation to obtain as much results as possible from erroneous measurements. Recently, operation of medical instruments and apparatus are often automated. Advances in robotics technologies are accelerating this trend. Therefore, students will also learn in this course the basics of control engineering. The focus will be placed on feedback control and state equations.

This course is one of the specialized courses in the Department of Biomedical Engineering.
Expected Learning
Learners who successfully complete this course will be able to:
- Calculate the expected values and variances of the measurements and estimate the measurement errors considering the error propagation.
- Calculate the least-squares estimates even if the number of equations do not match the number of unknown variables.
- Understand the basics of feedback control and design PID controller.
- Estimate the state of the system from the state equations.

Corresponding criteria in the Diploma Policy: See the Curriculum maps.
Course schedule
Week 1: Introduction
Week 2: Probability distribution of measured values
Week 3: Errors in measurements and their propagation
Week 4: Basics of least-squares estimation
Week 5: Applications of least-squares estimation methods
Week 6: Laplace transform
Week 7: Feedback control
Week 8: Review of the first half and midterm exam
Week 9: PID control
Week 10: State equations
Week 11: Z-transform
Week 12: Digital control
Week 13: Kalman filters
Week 14: Particle filters
Week 15: Review of the second half and exam
Prerequisites
It is recommended that students take all mathematics courses and electrical/electronic circuits in advance. In addition to 30 hours of study in the classes, students are recommended to use at least the standard amount of time specified by the University for preparing for and reviewing the lecture contents using the lecture handouts and the references specified below.
Required Text(s) and Materials
No textbook is specified.
References
Students can consult various textbooks in instrumentation engineering and control theories.
Assessment/Grading
Midterm exam (50%) and end-of-term exam (50%). Questions are designed to evaluate whether the students have acquired correct understandings of the materials dealt in the course and can clearly explain them by their own words.
Message from instructor(s)
The course will be given in Japanese.
Course keywords
Instrumentation engineering, control engineering, signal processing
Office hours
From 13:00 to 14:00 on Tuesdays.
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
3/24/2020 3:53:18 PM