
Type
Experience
Scope
Peter Ponders PID - System Identification Advanced
Stability and Eigenvalues [Control Bootcamp]
Here we discuss the stability of a linear system (in continuous-time or discrete-time) in terms of eigenvalues. Later, we will actively modify these eigenvalues, and hence the dynamics...
See MoreTime Domain Analysis with Matlab: Using the Linear System Analyzer
In this video we explore various Matlab functions and workflows to perform time domain analysis of a dynamic system. This includes the use of ‘tf’, ‘step’, ...
See MoreUnitary Transformations
This video discusses unitary matrix transformations and how they relate to the geometry of the singular value decomposition (SVD).
See MoreDegrees of Controllability and Gramians [Control Bootcamp]
This lecture discusses degrees of controllability using the controllability Gramian and the singular value decomposition of the controllability matrix.
See MoreDerivation of the Heat Equation
In this video, we derive the heat equation. This partial differential equation (PDE) applies to scenarios such as the transfer of heat in a uniform, homogen...
See MoreLinear Systems [Control Bootcamp]
Linear systems of ordinary differential equations are analyzed using eigenvalues and eigenvectors. This will be the mathematical foundation of this bootcamp on linear control theory.
See MoreTikZ source Code: Switching Manifold
TikZ source Code: Switching Manifold
See MoreEuler (Gimbal Lock) Explained
In this video we explore Euler Rotations, the most common method for orienting objects in 3d. It's by-product "gimbal lock" can cause headaches for animators because the animated motion can...
See MoreData-Driven Control: Change of Variables in Control Systems
In this lecture, we discuss how linear control systems transform under a change of coordinates in the state variable. This will be useful to derive balancing transformations that identify...
See MoreFrequency domain – tutorial 1: concept of frequency (with Chinese subtitle)
In this video, the following materials are covered:1) intuitive explanation on the frequency concept 2) what is the relation between time and frequency domai...
See MoreTypes of Machine Learning 1
This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels...
See MoreComputing Euler Angles: Tracking Attitude Using Quaternions
In this video we continue our discussion on how to track the attitude of a body in space using quaternions. The quaternion method is similar to the Euler Kinematical Equations and Poisson...
See MoreFrequency domain – tutorial 5: Fourier transform
In this video, we learn about Fourier transform which enables us to travel from time to frequency domain when a signal is not periodic. The learning objectiv...
See MoreControl Systems in Practice, Part 6: What Are Non-Minimum Phase Systems?
We like to categorize transfer functions into groups and label them because it helps us understand how a particular system will behave simply by knowing the group that it’s part of. We gain...
See MoreSecond Order Dynamics in Process Control
How do we simulate two first order transfer functions in series, a inherently second order system, or two coupled differential equations? Tune in to find out!
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 6 - CNNs and ...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
Gimbal Lock in reference to the Apollo missions
A gimbal is a pivoted support that permits rotation of an object about an axis. For this reason, a set of three axes gimbals are used in spacecrafts to help with orientation attitude control...
See MoreVisually Determining Transfer Functions
Process Control classes can get pretty hard to follow when you lose sight of what transfer functions really are. How do you get them in the first place?
See MoreFourier Series and Gibbs Phenomena [Matlab]
This video will describe how to compute the Fourier Series in Matlab and Gibbs Phenomena that appear for discontinuous functions.
See MoreRL Course by David Silver - Lecture 8: Integrating Learning and Planning
Introduces model-based RL, along with integrated architectures and simulation based search.
See MoreHumans, Robots, and Non-Prehensile Manipulation
This is a fun video that was inspired by a presentation I saw at the 2015 International Conference on Robotics and Automation (ICRA). I wanted to see if humans could duplicate the...
See MoreMotivation for Full-State Estimation [Control Bootcamp]
This video discusses the need for full-state estimation. In particular, if we want to use full-state feedback (e.g., LQR), but only have limited measurements of the system, it is necessary...
See MorePeter Ponders PID - Integrated Time Absolute Error - 4 Pole example
This video shows how to calculate the coefficients for a 4 pole ITAE and how to use the 4 pole ITAE to calculate closed loop controller gains.
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