
First Order Dynamics in Process Control
An overview on the identification and behavior of first order dynamics in process control.
See MoreControl Bootcamp: Benefits of Feedback on Cruise Control Example
Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example.
See MoreNumerically Linearizing a Dynamic System
In this video we show how to linearize a dynamic system using numerical techniques. In other words, the linearization process does not require an analytical...
See MoreIntroduction to Deep Learning by Andrew NG [COMPLETE]
Andrew Ng's course on deep learning and neural networks.
See MoreA Nonlinear, 6 DOF Dynamic Model of an Aircraft: the Research Civil Aircraft...
In this video we develop a dynamic model of an aircraft by describing forces and moments generated by aerodynamic, propulsion, and gravity that act on the ai...
See MorePeter Ponders PID - LQR Optimizing Two Outputs
Control 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 MorePractical Implementation Issues with a Full State Feedback Controller
In this video we investigate practical implementation issues that may arise when attempting to use a full state feedback controller on a real system. We ill...
See MorePeter Ponders PID - Controlling a non-integrating single pole system. Part 3...
Part 3 uses PI control which is the only practical means of control a non-integrating single pole system.http://deltamotion.comhttp://forum.deltamotion.com
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 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 MoreUnderstanding 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 MoreTime 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 MorePosicast Control 5 - (In English)
In this video Posicast in closed-loop is illustrated using a gantry-crane system simulations.
See MoreSimple Examples of PID Control
In this video I continue the topic of PID control. We walk through a simple control system and visualize how each of the three paths, P, I, and D, all address specific problems that arise...
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 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 MoreFinding Transfer Functions from Response Graphs
Given a system response to a unit step change, in this video I'll cover how we can derive the transfer function so we can predict how our system will respond...
See MoreControllability [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 MoreRouth-Hurwitz Criterion, Special Cases
This video presents two special cases that you can encounter when filling out the Routh Array. The first case is when there is a zero in a row with at least one non-zero element following...
See MoreSecond Order Dynamics Example
How will a second order process respond in the time domain when subjected to a unit step input? What other behaviors can we expect to see and why? Tune in to...
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...
See MoreFinal Value Theorem and Steady State Error
This Final Value Theorem is a way we can determine what value the time domain function approaches at infinity but from the S-domain transfer function. This is very helpful when we're trying...
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 MoreDesigning a Lag Compensator with Root Locus
This video walks through a phase lag compensator example using the Root Locus method.
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