
Type
Experience
Scope
Frequency domain – tutorial 4: Gibbs phenomenon
In this video, we quickly review the Gibbs phenomenon which involves two facts:1) Fourier sums overshoot at a jump discontinuity2) overshoot does not disapp...
See MorePeter Ponders PID - Observers/Estimators
Principal Component Analysis (PCA)
Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data.
See MoreRouth Array and Stability
I show how we can find the range of allowed controller gains for a system that will allow us to maintain stability using a Routh Array.
See MoreLecture 17: Introduction to Compensators/Controllers
Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 7 - Imitation...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
See MoreTikZ source Code: RC Lowpass
TikZ source code for an RC Lowpass filter.
See MoreStandard 2nd Order ODEs: Natural Frequency and Damping Ratio
In this video we discuss writing 2nd order ODEs in standard form xdd(t)+2*zeta*wn*xd(t)+wn^2*x(t)where zeta = damping ratio wn = natural ...
See MoreStability 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 MoreKoopman Spectral Analysis (Representations)
In this video, we explore how to obtain finite-dimensional representations of the Koopman operator from data, using regression.
See MoreOverview of Dempster-Shafer Theory (Evidence Theory)
This is an overview of Dempster-Shafer Theory (Evidence Theory) that provides an introduction, definition, basic information about combination rules, some issues with the theory, and the...
See MoreTikZ source Code: Extremum Seeking Control Block Diagram
TikZ source Code: Extremum Seeking Control Block Diagram
See MoreUnderstanding Sensor Fusion and Tracking, Part 3: Fusing a GPS and IMU to Es...
This video continues our discussion on using sensor fusion for positioning and localization by showing how we can use a GPS and an IMU to estimate and object’s orientation and position. We...
See MoreEuler Angles and the Euler Rotation Sequence
In this video we discuss how Euler angles are used to define the relative orientation of one coordinate frame to another.Topics and Timestamps:0:00 – Introd...
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 MoreRandomized SVD Code [Python]
This video describes the randomized singular value decomposition (rSVD) (Python code).
See MoreUsing ‘minreal’ in Matlab to Perform Transfer Function Pole/Zero Cancellatio...
In this tutorial we look at using the ‘minreal’ function in Matlab to perform pole/zero cancellation from transfer functions.Topics and time stamps:(0:10) – ...
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 MoreSVD: Eigenfaces 4 [Matlab]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 4).
See MoreData-Driven Control: ERA/OKID Example in Matlab
In this lecture, we explore the observer Kalman filter identification (OKID) and eigensystem realization algorithm (ERA) in Matlab on an example.
See MoreSVD: Optimal Truncation [Matlab]
This video describes how to optimally truncate the singular value decomposition (SVD) for noisy data (Matlab code).
See MoreDerivation of the 2D Wave Equation
In this video we derive the 2D wave equation. This partial differential equation governs the motion of waves in a plane and is applicable for thin vibrating...
See MoreDiscrete-Time Dynamical Systems
This video shows how discrete-time dynamical systems may be induced from continuous-time systems.
See MoreControl Bootcamp: Three Equivalent Representations of Linear Systems
This video explores three equivalent representations of linear systems: State-space ODEs, Frequency domain transfer functions, and Time-domain impulse response convolution.
See MoreFuzzy Logic, Part 3: Design and Applications of a Fuzzy Logic Controller
This video walks you through the process of designing a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition...
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