Linear parameter-varying control (LPV control) deals with the control of linear parameter-varying systems, a class of nonlinear systems which can be modelled as parametrized linear systems whose parameters change with their state. (Wikipedia).
How to Determine if Functions are Linearly Independent or Dependent using the Definition
How to Determine if Functions are Linearly Independent or Dependent using the Definition If you enjoyed this video please consider liking, sharing, and subscribing. You can also help support my channel by becoming a member https://www.youtube.com/channel/UCr7lmzIk63PZnBw3bezl-Mg/join Th
From playlist Zill DE 4.1 Preliminary Theory - Linear Equations
What Is Gain Scheduling? | Control Systems in Practice
Often, the best control system is the simplest. When the system you’re trying to control is highly nonlinear, this can lead to very complex controllers. This video continues our discussion on control systems in practice by talking about a simple form of nonlinear control: gain scheduling.
From playlist Control Systems in Practice
Define a linear function. Determine if a linear function is increasing or decreasing. Interpret linear function models. Determine linear functions. Site: http://mathispower4u.com
From playlist Introduction to Functions: Function Basics
Data-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 the most jointly controllable and observable states. https://www.eigensteve.com/
From playlist Data-Driven Control with Machine Learning
Review of Linear Time Invariant Systems
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Review: systems, linear systems, time invariant systems, impulse response and convolution, linear constant-coefficient difference equations
From playlist Introduction and Background
An Introduction to Linear Regression Analysis
Tutorial introducing the idea of linear regression analysis and the least square method. Typically used in a statistics class. Playlist on Linear Regression http://www.youtube.com/course?list=ECF596A4043DBEAE9C Like us on: http://www.facebook.com/PartyMoreStudyLess Created by David Lon
From playlist Linear Regression.
This video provides a lesson on dependent function and verifying given functions are linear dependent. Site: http://mathispower4u.com
From playlist Second Order Differential Equations
Translating Inputs, Outputs, and Initial Conditions Between Linear and Nonlinear Dynamic Systems
In this video we discuss the nuances and differences between linear and nonlinear models. In particular, we show how to use equivalent inputs, outputs, and initial conditions for both systems. Topics and timestamps: 0:00 – Introduction 10:40 – Inputs 14:21 – Outputs 16:01 – Initial condi
From playlist Control Theory
Fuzzy control of inverted pendulum
Fuzzy control of inverted pendulum, State-feedback controller is designed based on T-S fuzzy model with the consideration of system stability and performance.
From playlist Demonstrations
Wolfram SystemModeler and Mathematica Quick Start
Speaker: Anneli Mossberg This talk focuses on analyzing models and simulation results with Mathematica. Learn about the link between Mathematica and SystemModeler, and get an overview of the powerful Mathematica functionality relevant to modeling and analysis. For more training resource
From playlist Wolfram SystemModeler Virtual Conference 2014
Lecture 10 | MIT 6.832 Underactuated Robotics, Spring 2009
Lecture 10: Trajectory stabilization and iterative linear quadratic regulator (iLQR) Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.e
From playlist MIT 6.832 Underactuated Robotics, Spring 2009
DDPS | Parameter Subset Selection and Active Subspace Techniques for Engineering & Biological Models
Engineering and biological models generally have a number of parameters which are nonidentifiable in the sense that they are not uniquely determined by measured responses. Furthermore, the computational cost of high-fidelity simulation codes often precludes their direct use for Bayesian m
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Neural Architecture Search without Training (Paper Explained)
#ai #research #machinelearning Neural Architecture Search is typically very slow and resource-intensive. A meta-controller has to train many hundreds or thousands of different models to find a suitable building plan. This paper proposes to use statistics of the Jacobian around data points
From playlist Papers Explained
Statistical Rethinking 2022 Lecture 14 - Correlated Varying Effects
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music: https://www.youtube.com/watch?v=TWu9VxVQ6Lg Owl: https://www.youtube.com/watch?v=VNcLbMYwhXQ Pause: https://www.youtube.com/watch?v=pxPdsqrQByM Chapters: 00:00 Introduction 01:22 Varying effects
From playlist Statistical Rethinking 2022
Statistical Rethinking 2023 - 15 - Social Networks
Course: https://github.com/rmcelreath/stat_rethinking_2023 Music: https://www.youtube.com/watch?v=0iVdR2rtD90 Pause: https://www.youtube.com/watch?v=a6QqkEsGxNY Outline 00:00 Introduction 02:25 Sample and causal model 12:18 Generative model 1 17:39 Statistical model 1 27:42 Pause 28:18 G
From playlist Statistical Rethinking 2023
Statistical Rethinking 2022 Lecture 13 - Multi-Multilevel Models
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music: https://www.youtube.com/watch?v=R2d2spnXyLA Glass blowing: https://www.youtube.com/watch?v=apDH4YEv3_c Chapters: 00:00 Introduction 08:25 Multiple cluster types 29:00 Multilevel predictions 38:39
From playlist Statistical Rethinking 2022
R - Latent Growth Models Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This video is a lecture that covers latent growth (curve) modeling - including the steps for random intercepts and slopes taken from the Beaujean SEM lavaan book. Lecture materials and assignment available at statistic
From playlist Structural Equation Modeling
Statistical Rethinking - Lecture 14
Lecture 14 - Binomial and Poisson GLMs - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
Introduction to Linear Functions and Slope (L10.1)
This lesson introduces linear functions, describes the behavior of linear function, and explains how to determine the slope of a line given two points. Video content created by Jenifer Bohart, William Meacham, Judy Sutor, and Donna Guhse from SCC (CC-BY 4.0)
From playlist Introduction to Functions: Function Basics
Delay Dynamical Systems (Lecture 1) by Debabrata Biswas
PROGRAM TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID) ORGANIZERS: Partha Sharathi Dutta (IIT Ropar, India), Vishwesha Guttal (IISc, India), Mohit Kumar Jolly (IISc, India) and Sudipta Kumar Sinha (IIT Ropar, India) DATE: 19 September 2022 to 30 September 2022 VENUE: Ramanujan Lecture Hall an
From playlist TIPPING POINTS IN COMPLEX SYSTEMS (HYBRID, 2022)