Intended primarily for graduate students interested in nonlinear dynamical systems, learning methods for dynamical systems, and applications. Roughly one third of the course focuses on nonlinear network analysis theories such as contraction theory, dissipative systems and network small gain theory. A second third focuses on example systems from robotics, industrial control systems, traffic systems, mathematical sociology, and power grids. Finally, the course reviews kernel-based methods in learning dynamical systems.

Prerequisites: Consent of instructor.

3

Units

Letter

Grading

1, 2, 3

Passtime

None

Level Limit

Engineering

College
Francesco Bullo
4.0
7 reviews
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ME 225FB Bullo F Spring 2024 Total: 5
ME 225FB Bullo F Fall 2020 Total: 5
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7
4.0
ECE181A . 14 Years Ago

Bullo really cares about his students understanding the material. He is very precise with his language. Gives class a break in the middle of lecture. This particular class was kind of watered down so it was pretty easy. The only challenging part was the Bug 1 project, but it was really fun to do. Tests felt like short answer on basic concepts.

0 helpful 0 unhelpful
ME170A . 15 Years Ago

Posts lecture notes but still very helpful to go to lecture. Motion planning portion of class was fun and straight forward. Second half of class gets a little confusing. I thought both the midterm and final were what I expected. Homework was fairly challenging so start early in case you get stuck and need help on the written portion or MATLAB part.

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ME170A . 19 Years Ago

Very personable and considerate. Lectures can be confusing at times.Homework can be tough but graded fair. Midterm was hard (to me at least), final was much easier. Ended up with an A (the closest thing to a miracle). The class itself is interesting but completely useless unless you're thinking about graduate school in robotics.

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ME155A . 19 Years Ago

Really nice guy BUT really hard teacher. His lectures are hard to follow and he seems to have a hard time following them himself. Tests are ridiculous

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ME155A . 19 Years Ago

Great professor. Awesome Lecturer. Very approachable.

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ECE181A . 19 Years Ago

Brings mathematical sophistication to the table not usually seen in engineering. Loses touch with what students understand and gets frustrated himself. Spends first 20 min of each lecture going over previous days material. Tests are pretty easy and homework was much easier w/o matlab assignments. Nice guy with a million mile per hour mentality.

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