Network Control Systems (Fall/Winter 2016)


Class dates: Fridays, 10:45-12:15
Class room: W831
Credit hour: 1-0-0
Web: http://www.dsl.sc.e.titech.ac.jp/lectures2016_NCS.html
Instructor: Tomohisa Hayakawa
Email: hayakawa[at]sc.e.titech.ac.jp
Office: Rm. W402, W8 Building

Description:

This course treats network control systems and educates the concept, problem formulations, solutions and background theory. Through this course, students would know several typical control problems, applications and fundamental theory of network control systems. This would help students have access to the state-of-the-art in systems and control, and to produce novel research outcomes. Also, students will acquire several background theories such as graph theory, Lyapunov theory and optimization theory.


Projected course schedule:

Lecture#
Date

Topics
Handouts
1
Dec. 2

Network Control Systems

2
Dec. 16

Graph Theory

3
Dec. 23

Continuous-Time Consensus Control

4
Jan. 6

Discrete-Time Consensus Control

5
Jan. 13

Synchronization Control

6
Jan. 20

Coverage Control
7
Jan. 27

Cooperative Distributed Optimization
8
Feb. 3

Course Summary


Textbooks:

  1. S. Azuma and M. Nagahara (eds.), Control of Multi-agent Systems ISBN: 9784339033229


References:

  1. M. Mesbahi and M. Egerstedt, Graph Theoretic Methods in Multiagent Networks,
    Princeton Series in Applied Mathematics, Princeton University Press ISBN: 9781400835355

Grading Policy:
Students will be assessed on their understanding of the concept of network control systems, theory, solution and their applications. The course scores are based on exercise problems.

Announcements:

Nonlinear and Adaptive Control (Fall/Winter 2016)


Class dates: Thursdays, 10:45-12:15
Class room: W832
Credit hour: 1-0-0
Web: http://www.dsl.sc.e.titech.ac.jp/lectures2016_NAC.html
Instructor: Tomohisa Hayakawa
Email: hayakawa[at]sc.e.titech.ac.jp
Office: Rm. W402, W8 Building

Description:

Theory and application of nonlinear and adaptive control systems. Discussed are methods of on-line parameter identification and adaptive control for nonlinear systems with uncertain parameters. To this end, Lyapunov stability theory and Lyapunov functions for general nonlinear systems are examined in the first half of the course.


Projected course schedule:

Lecture#
Date

Topics
Handouts
1
Dec.1

Nonlinear dynamical system theory (existence and uniqueness
of solution)

2
Dec. 15

Nonlinear dynamical system theory (Lyapunov's stability theory)

3
Dec. 22

Nonlinear dynamical system theory (dissipativity theory)

4
Jan. 12

Normal form representation

5
Jan. 19

Nonlinear adaptive control (1)

6
Jan. 26

Nonlinear adaptive control (2)

Feb. 2

Exam2016


References:

  1. Nonlinear Systems, H.K. Khalil, Prentice Hall, 2001
  2. Applied Nonlinear Control, J.-J. Slotine and Weiping Li, Prentice Hall, 1990

Grading Policy:
Assignments (30%); Final exam (70%).

Announcements: