EE263: Introduction to Linear Dynamical Systems

Gorish Aggarwal, Stanford University, Summer Quarter 2018-19

Instructor

Gorish Aggarwal

  • Office hours: Thursday 1.30 PM - 2.30 PM in Packard 109

  • SCPD OH: Wednesday 3.00 PM - 4.00 PM on Zoom (Meeting ID: 815-039-424)

Lectures

06/24/2019 - 08/15/2019

  • Tuesdays and Thursdays, 11:30AM - 1:20PM in Skilling Auditorium

  • No lecture on 07/04 for Independence Day

Teaching Assistants

Ahmadreza Momeni

  • Office hours: Tuesday 4:00 PM - 5:30 PM at 200-030

  • SCPD OH: Tuesday 3.00 PM - 4.00 PM on Zoom (Meeting ID: 582-402-6341)

Lucas Fuentes Valenzuela

  • Office hours: Wednesday 11:00 AM - 1:00 PM in Packard 104

Review sessions

  • Weekly review sessions will be held on Fridays (starting 07/05)

  • 3:30 - 4:20PM, Gates B03

  • These sessions will be videotaped by SCPD and uploaded on their website.

Links

Please join the following

  • Piazza for class announcements and discussions.

  • Gradescope for homework submission. Use entry code: 9GVJ5D

Exams

  • The midterm exam will be a 8 hr take-home. Students can choose the date and time they like to start the exam from the three options below(tentative). Submissions are due on gradescope 8hrs after your start.

    • 07/20: 9:00AM - 5.00PM

    • 07/20: 6:00PM - 2:00AM(on 07/21)

    • 07/21: 9:00AM - 5:00PM

  • IMPORTANT: The midterm exam distribution will be online over email. All of the students are required to go to this link, and sign up for one of the 3 exam times by 07/16 at noon.

  • The final exam will be a 12 hr take-home. Students can choose the date and time they like to start the exam from the three options below. Submissions are due on gradescope 12hrs after you start.

    • 08/16: 9:00AM - 9:00PM

    • 08/16: 5:00PM - 5.00AM(on 08/17)

    • 08/17: 9:00AM - 9:00PM

  • IMPORTANT: The final exam distribution will be online over email. All of the students are required to go to this link, and sign up for one of the 3 exam times by 08/12 at noon.

Course description

Applied linear algebra and linear dynamical systems with applications to circuits, signal processing, communications, and control systems. Topics: least-squares approximations of over-determined equations, and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm, and singular-value decomposition. Eigenvalues, left and right eigenvectors, with dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input/multi-output systems, impulse and step matrices; convolution and transfer-matrix descriptions. Control, reachability, and state transfer; observability and least-squares state estimation.

Prerequisites: linear algebra and matrices as in MATH104; differential equations and Laplace transforms as in EE102A.

Textbooks

There are no required or optional textbooks. Complete notes will be available online. See the section on reading for details.

Students with Documented Disabilities

Ensuring that students with disabilities have full access in all instructional settings is one of our highest priorities. Students who may need an academic accommodation based on the impact of a disability must initiate the request with the Office of Accessible Education (OAE). Professional staff will evaluate the request with required documentation, recommend reasonable accommodations, and prepare an Accommodation Letter for faculty. Unless the student has a temporary disability, Accommodation letters are issued for the entire academic year. Students should contact the OAE as soon as possible since timely notice is needed to coordinate accommodations. The OAE is located at 563 Salvatierra Walk (phone: 723-1066).

Archive

This course was originally developed and taught by Professor Stephen Boyd, and the complete set of materials consisting of lecture videos, slides, support notes and homework is still available in the archive.