
Controllability [Control Bootcamp]
This lecture explores when a linear system is controllable. We begin with the simple test in terms of the rank of the controllability matrix on a few intuitive examples.
See MoreTime domain - tutorial 7: system properties
In this video, we cover system properties. The concept of memoryless, causal, stable, invertible, time-invariant and linear systems is intuitively explained...
See MoreControl Bootcamp: Linear Quadratic Gaussian (LQG)
This lecture combines the optimal full-state feedback (e.g., LQR) with the optimal full-state estimator (e.g., LQE or Kalman Filter) to obtain the sensor-based linear quadratic Gaussian (LQG...
See MorePeter Ponders PID - Simulation Methods, Which is Best?
Time domain - tutorial 10: interconnection of LTI systems
In this video, we learn how to connect LTI systems to make a bigger system. The learning objectives are to:1) get familiar with parallel and series intercon...
See MoreMachine Learning Control: Genetic Algorithms
This lecture provides an overview of genetic algorithms, which can be used to tune the parameters of a control law.
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 MorePeter Ponders PID - System Identification Basics
Understanding Model Predictive Control, Part 4: Adaptive, Gain-Scheduled and...
This video explains the type of MPC controller you can use based on your plant model, constraints, and cost function. An optimization problem with these properties is a convex one, and you...
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 MoreIntroduction to the Fourier Transform (Part 2)
This video is the second part of the introduction to the Fourier Transform. I address an error that I made in the first video concerning the scaling term of the transform. I also try to...
See MoreDeploying Deep Learning Models | Deep Learning for Engineers, Part 5
This video covers the additional work and considerations you need to think about once you have a deep neural network that can classify your data. We need to consider that the trained network...
See MoreTikZ source Code: Switching Manifold
TikZ source Code: Switching Manifold
See MoreLecture 13: Stability and Routh Hurwitz criterion
Fuzzy Inference System Walkthrough | Fuzzy Logic Part 2
This video walks step-by-step through a fuzzy inference system. Learn about concepts like membership function shapes, fuzzy operators, multiple-input inference systems, and rule firing...
See MoreBuilding a Matlab/Simulink Model of an Aircraft: the Research Civil Aircraft...
In this video we implement the RCAM model as a Matlab script that is called from a Simulink model. The result is a fully encapsulated Simulink model of a no...
See MoreComputing Euler Angles: The Euler Kinematical Equations and Poisson’s Kinema...
In this video we discuss how the time rate of change of the Euler angles are related to the angular velocity vector of the vehicle. This allows us to design...
See MoreLecture 19: Lead and PD compensator Design using Root Locus
Control Bootcamp: Sensitivity and Complementary Sensitivity
Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance.
See MoreBandwidth of a Dynamic System
In this video we discuss the definition and physical meaning of the bandwidth of a dynamic system. We’ll see that this is a performance metric that is used ...
See MorePosicast Control 4 - ( In English )
This video continues to explore the gantry crame control simulations in open-loop- The main focus is the half-cycle Posicast.
See MoreLecture 1 Introduction to Automatic Control
MIT 6.S191: Introduction to Deep Learning
MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep...
See MoreStability of Closed Loop Control Systems
This video explains why we need design tools like the Routh-Hurwitz Criterion, Bode Plots, Nyquist Plots, and Root Locus. This is an introduction into the difficulties of determining the...
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