Modern Control Engineering

Course Information

College	Anan College	Year	2023
Course Title	Modern Control Engineering
Course Code	5397I04	Course Category	Specialized / Elective
Class Format	Lecture	Credits	Academic Credit: 2
Department	Course of Electronics and Information Engineering	Student Grade	Adv. 2nd
Term	First Semester	Classes per Week	2
Textbook and/or Teaching Materials	Gendai seigyo no kiso （MORIKITA PUBLISHING CO., LTD）
Instructor	Fukumi Junji

Course Objectives

1.Able to understand the state space method and perform calculations related to state transition matrices.
2.Able to understand and determine the controllability and observability of a system.
3.Able to solve basic problems about state feedback and observers.

Rubric

	Ideal Level	Standard Level	Minimum Level
Achievement 1	Able to solve state transition matrices and state equations for physical systems.	Able to represent a simple system in terms of state equations and to find its state transition matrix.	Able to represent simple systems in terms of state equations.
Achievement 2	Able to determine controllability and observability of physical systems and convert them to controllable and observable canonical forms. Also, be able to apply it to the design of control systems.	Able to determine controllability and observability of simple systems and convert them to controllable and observable canonical forms.	Able to determine controllability and observability of simple systems.
Achievement 3	Able to design state feedback control systems and observers and their combined systems for physical systems.	Able to design basic state feedback control systems and observers, and their combined systems.	Able to design basic state feedback control systems and observers.

Teaching Method

Outline:

The goal of this course is to provide students with a mathematical treatment of systems using the state space method and to understand the most fundamental concepts in modern control theory, such as stability, controllability/observability, state feedback, etc. The course will also cover the relationship between the state equation and transfer function, solving the state equation using the state transition matrix, and controllability/observability of systems. To this end, the course will cover the relationship between the state equation and transfer function, the solution of the state equation using the state transition matrix, and controllability and observability of the system. In addition, state feedback and observers will be lectured as examples of control system design.

Style:

In this lecture, students are expected to become familiar with the equation-of-state treatment of systems. For this reason, the course will include not only lectures but also a lot of exercises, so students are expected to submit reports and other documents properly. Since this course is a credit course, students will be required to submit reports as pre- and post-learning.

Notice:

In this course, students learn modern control theory on the assumption that they have acquired knowledge of classical control theory. Therefore, it is desirable for students to have taken control engineering courses related to classical control theory in this course.

Course Plan

			Theme	Goals
1st Semester
	1st Quarter
		1st	State space method	Able to explain the state space representation.
		2nd	State space method	Able to represent a physical system in terms of an equation of state.
		3rd	State transition matrix	Able to derive the transfer function from the equation of state.
		4th	State transition matrix	Able to calculate the state transition matrix of a basic system.
		5th	State transition matrix	Able to explain the solution of the equation of state.
		6th	Controllability and observability	Able to explain the controllability and observability of the system.
		7th	Controllability and observability	Able to determine the controllability and observability of the system.
		8th	Controllability and observability	Able to calculate controllable and observable canonical forms.
	2nd Quarter
		9th	Midterm examination
		10th	State Feedback	Able to explain state feedback and pole assignment.
		11th	State Feedback	Able to design simple control systems using state feedback.
		12th	State Feedback	Able to design simple control systems using direct feedback, etc.
		13th	Observer	Able to explain about same dimensional observers.
		14th	Observer	Able to design same dimensional observers.
		15th	Observer	Able to design a state feedback control system using an observer.
		16th	Return of final exam papers

Evaluation Method and Weight (%)

	midterm/final exam	quiz	portfolio	presentation/attitude	other	Total
Subtotal	70	0	30	0	0	100
Basic Proficiency	0	0	0	0	0	0
Specialized Proficiency	70	0	30	0	0	100
Cross Area Proficiency	0	0	0	0	0	0