Engineering & Robotics

Control theory, dynamical systems, signal processing, convex optimization, robotics, and electrical engineering.

7 courses · 104 standalone talks · 333 total lectures

All Engineering Signal Processing & Robotics (136)Control & Dynamical Systems (113)Complex Systems & Scaling (57)Linear Algebra (46)Convex Optimization (38)Calculus & Analysis (25)Algorithms & Data Structures (23)Computer Architecture (16)Behavioral & Evolutionary Biology (15)science (12)

Showing 20 of 46 lectures

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Chapters · Duration

Lecture 1 | Introduction to Linear Dynamical Systems

Lecture 1 | Introduction to Linear Dynamical Systems

EE263 · Lec 1 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:46

Lecture 1: The Column Space of A Contains All Vectors Ax

Lecture 1: The Column Space of A Contains All Vectors Ax

18.065 · Lec 1 · Gilbert Strang · MIT

Gilbert Strang MIT

52:14

Control Bootcamp: Overview

Control Bootcamp: Overview

ME 564 · Lec 1 · Steve Brunton · University of Washington

Steve Brunton University of Washington

19:31

Lecture 15: Chaotic Waterwheel (MAE 5790)

Lecture 15: Chaotic Waterwheel (MAE 5790)

MAE 5790 · Lec 15 · Steven Strogatz · Cornell University

Steven Strogatz Cornell University

1:14:12

Lecture 19: One-Dimensional Maps (MAE 5790)

Lecture 19: One-Dimensional Maps (MAE 5790)

MAE 5790 · Lec 19 · Steven Strogatz · Cornell University

Steven Strogatz Cornell University

1:14:35

Lecture 17: Rapidly Decreasing Singular Values (18.065)

Lecture 17: Rapidly Decreasing Singular Values (18.065)

18.065 · Lec 17 · Alex Townsend · MIT

Alex Townsend MIT

50:34

Convex Optimization with Abstract Linear Operators

Convex Optimization with Abstract Linear Operators

Mathematics·Conference Talk · Stephen P. Boyd · Stanford University

Stephen P. Boyd Stanford University

1:04:29

Lecture 7 | Introduction to Linear Dynamical Systems

Lecture 7 | Introduction to Linear Dynamical Systems

EE263 · Lec 7 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:15:46

Lecture 6 | Introduction to Linear Dynamical Systems

Lecture 6 | Introduction to Linear Dynamical Systems

EE263 · Lec 6 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:16:19

Lecture 5 | Introduction to Linear Dynamical Systems

Lecture 5 | Introduction to Linear Dynamical Systems

EE263 · Lec 5 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:15:14

Lecture 4 | Introduction to Linear Dynamical Systems

Lecture 4 | Introduction to Linear Dynamical Systems

EE263 · Lec 4 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:14:08

Lecture 3 | Introduction to Linear Dynamical Systems

Lecture 3 | Introduction to Linear Dynamical Systems

EE263 · Lec 3 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:19:10

Lecture 2 | Introduction to Linear Dynamical Systems

Lecture 2 | Introduction to Linear Dynamical Systems

EE263 · Lec 2 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:05:52

Lecture 7 | Convex Optimization I

Lecture 7 | Convex Optimization I

EE364a · Lec 7 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:14:37

Lecture 22: Renormalization: Function Space and a Hands-On Calculation (MAE 5790)

Lecture 22: Renormalization: Function Space and a Hands-On Calculation (MAE 5790)

MAE 5790 · Lec 22 · Steven Strogatz · Cornell University

Steven Strogatz Cornell University

1:08:32

Lecture 8: Norms of Vectors and Matrices (18.065)

Lecture 8: Norms of Vectors and Matrices (18.065)

18.065 · Lec 8 · Gilbert Strang · MIT

Gilbert Strang MIT

49:21

Lecture 12: Computing Eigenvalues and Singular Values (18.065)

Lecture 12: Computing Eigenvalues and Singular Values (18.065)

18.065 · Lec 12 · Gilbert Strang · MIT

Gilbert Strang MIT

49:28

Lecture: Kalman Filter Example (ME 564)

Lecture: Kalman Filter Example (ME 564)

ME 564 · Lec 8 · Steve Brunton · University of Washington

Steve Brunton University of Washington

22:12

Lecture 20: Observability and State Estimation (EE263)

Lecture 20: Observability and State Estimation (EE263)

EE263 · Lec 20 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:09:25

Lecture 19: Controllability and State Transfer in Modern Electrical Engineering (EE263)

Lecture 19: Controllability and State Transfer in Modern Electrical Engineering (EE263)

EE263 · Lec 19 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:10:30

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