Loss Sensitivity Calculation and Perturbation method for Sensitivity Analysis
Computer Applications in Power Systems
Inverse optimal control of nonlinear evolution systems
Read the article: doi.org/10.1109/JAS.2019.1911381 Do et al., "Inverse Optimal Control of Evolution Systems and Its Application to Extensible and Shearable ...
Research Square
Singular Optimal Control Solved with GEKKO
A dynamic optimization problem is solved with the GEKKO Python package. GEKKO is optimization software for mixed-integer and differential algebraic ...
APMonitor.com
Mod-15 Lec-34 Constrained Optimal Control -- I
Optimal Control, Guidance and Estimation by Dr. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore. For more details on NPTEL visit ...
nptelhrd
Robust Control, Part 1: What Is Robust Control?
Watch the other videos in this series: Robust Control, Part 2: Understanding Disk Margin - https://youtu.be/XazdN6eZF80 Robust Control, Part 3: Disk Margins for ...
MATLAB
Mod-06 Lec-14 Discrete-time Optimal Control
Optimal Control, Guidance and Estimation by Dr. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore. For more details on NPTEL visit ...
nptelhrd
Stochastic Optimal Control in Biology and Engineering
Control under uncertainty is a fundamental problem relevant to biology as well as engineering. Optimality models have explained numerous details of biological ...
UW Video
Mod-17 Lec-39 Take Home Material: Summary -- I
Optimal Control, Guidance and Estimation by Dr. Radhakant Padhi, Department of Aerospace Engineering, IISc Bangalore. For more details on NPTEL visit ...
nptelhrd
C.Colombo: “Orbit manoeuvring enhancing natural perturbations”
Natural orbit perturbations are responsible for the trajectory divergence from the nominal two-body problem, increasing the requirements for orbit control; ...
Math@TorVergata
Biped walking control under impulse perturbation
The method is based on 'biped walking control using an optimal trajectory library'. This simulation demonstrates that the robot can handle a 36 Newton-second ...
Frank Liu
Mod-01 Lec-26 Describing function method
Nonlinear Dynamical Systems by Prof. Harish K. Pillai and Prof. Madhu N.Belur,Department of Electrical Engineering,IIT Bombay.For more details on NPTEL ...
nptelhrd
Trimming a Model of a Dynamic System Using Numerical Optimization
In this video we show how to find a trim point of a dynamic system using numerical optimization techniques. We generate a cost function that corresponds to a ...
Christopher Lum
RI Seminar: Stefan Schaal : From Movement Primitives to Associative Skill Memories
Stefan Schaal Professor of Computer Science, Neuroscience, and Biomedical Engineering, University of Southern California March 28, 2014 Abstract ...
cmurobotics
RI Seminar: Todd Murphey : Active Learning in Robot Motion Control
Todd Murphey Professor Mechanical Engineering, Northwestern University April 26, 2019 Active Learning in Robot Motion Control Abstract: Motion motivated by ...
cmurobotics
Real-time optimization algorithms for dynamic walking, running, and manipulating robots
The worlds largest technology companies and science funding agencies are investing millions in robotics. They anticipate robots that perform work as first ...
UW Video
Dynamic Walking 2013 : Day 4 : Emo Todorov : Dynamic optimization of behavior
June 13, 2013 Dynamic Optimization of Behavior Emo Todorov, University of Washington The control of rich dynamic behaviors involving underactuation and ...
cmurobotics
Topic 4: Optimal Taxation Part 2 | Economics 2450A: Public Economics
Raj Chetty Fall 2012.
Harvard University
Estimating the Wasserstein Metric - Jonathan Niles-Weed
Short talks by postdoctoral members Topic: Estimating the Wasserstein Metric Speaker: Jonathan Niles-Weed Affiliation: Member, School of Mathematics Date: ...
Institute for Advanced Study
Mod-09 Lec-21 Pole Placement Control Design
Advanced Control System Design by Radhakant Padhi, Department of Aerospace Engineering, IISC Bangalore For more details on NPTEL visit ...
nptelhrd
JuliaCon 2019 | Scientific AI: Domain Models with Integrated Machine Learning | Chris Rackauckas
Chris Rackauckas, Massachusetts Institute of Technology, JuliaCon 2019 Modeling practice seems to be partitioned into scientific models defined by ...
The Julia Programming Language
Optimal sampling in weighted least-squares methods: Application to high-dimensional approximation
Many problems in science and engineering involve an underlying unknown complex process that depends on a large number of parameters. The goal in many ...
The Alan Turing Institute
Stefano Soatto (UCLA): "Dynamics and Control of Differential Learning"
May 30, 2019.
MIT Institute for Data, Systems, and Society
Webinar - OpenSim Moco: Software to optimize the motion and control of OpenSim models
Speakers: Christopher Dembia & Nick Bianco, Stanford University OpenSim is a freely available software package for modeling the musculoskeletal system.
OpenSimVideos
RI Seminar: Sidd Srinivasa: Robotic Manipulation...
Robotic Manipulation under clutter and uncertainty with and around people Sidd Srinivasa Associate Professor, RI, Carnegie Mellon Abstract Robots manipulate ...
cmurobotics
Lec 23 | MIT 18.086 Mathematical Methods for Engineers II
Calculus of Variations / Weak Form View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at ...
MIT OpenCourseWare
Extremum Seeking Control Applications
This lecture highlights some of the many applications of extremum-seeking control (ESC) performed by myself and collaborators. Maximum power point tracking ...
Steve Brunton
Feedback Control Theory: Architectures and Tools for Real-Time Decision Making I
Richard Murray, Caltech Real-Time Decision Making Boot Camp https://simons.berkeley.edu/talks/murray-control-1.
Simons Institute
Measuring Sample Quality with Stein's Method
To improve the efficiency of Monte Carlo estimation, practitioners are turning to biased Markov chain Monte Carlo procedures that trade-off asymptotic exactness ...
Microsoft Research
CMA-ES ΓÇô a Stochastic Second-Order Method for Function-Value FreeNumerical Optimization
We consider black-box optimization with little assumptions on the underlying objective function. Further, we consider sampling from a distribution to obtain new ...
Microsoft Research
Colloquium MathAlp 2016 - Emmanuel Trélat
Théorie du contrôle optimal et applications aux missions spatiales La problématique du contrôle optimal est de guider l'évolution en temps d'un système donné ...
Institut Fourier
Hai Qi Science Talk: “Brain control of adaptive immunity”
Hai Qi, Professor, Tsinghua University. At a time when it's not possible to hold in-person scientific meetings, Janelia is sharing science virtually. In partnership ...
HHMI Howard Hughes Medical Institute
Neural SDEs: Deep Generative Models in the Diffusion Limit - Maxim Raginsky
In deep generative models, the latent variable is generated by a time-inhomogeneous Markov chain, where at each time step we pass the current state through a ...
Institute for Advanced Study
Lecture 16 | Convex Optimization II (Stanford)
Lecture by Professor Stephen Boyd for Convex Optimization II (EE 364B) in the Stanford Electrical Engineering department. Professor Boyd introduces a new ...
Stanford
Stochastic Approximation and Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms
Stochastic approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly ...
Microsoft Research
Stanford Seminar - Modeling and Control for Robotic Assistants
Monroe Kennedy Stanford University October 4, 2019 As advances are made in robotic hardware, the capacity of the complexity of tasks they are capable of ...
stanfordonline
Regularization, Perturbations, and Stability in Online Learning
Ambuj Tewari, University of Michigan https://simons.berkeley.edu/talks/ambuj-tewari-5-3-18 Mathematical and Computational Challenges in Real-Time Decision ...
Simons Institute
Professor Marco Gobbetti: about sourdough & health
Puratos' Sourdough Librarian Karl De Smedt visited Professor Marco Gobetti at the Free University of Bolzano, Italy. They discuss the health impact of ...
Puratos Group
RI Seminar: Robert D. Gregg IV : kinematic/energetic design/robots for agile human locomotion
From kinematic to energetic design and control of wearable robots for agile human locomotion September 18, 2020 ...
cmurobotics
Mod-01 Lec-10 Problem Solution Session
Optimal Control by Prof. G.D. Ray,Department of Electrical Engineering,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Dynamic Walking 2013 : Day 4 : 11 Five Minute Poster Talks
June 13, 2013 Dynamic Walking 2013 11 Five Minute Poster Talks Jeff Nessler Properties of the phase resetting curve for human gait Tim Kiemel Characterizing ...
cmurobotics
Short course “Model Predictive Control Under Uncertainty”, lecturer Saša V. Raković. Lecture #4
Short course “Model Predictive Control Under Uncertainty”, lecturer Saša V. Raković. Course given as part of NTNU PhD course TK8115 Numerical Optimal ...
NTNU Cybernetics
Extremum Seeking Control: Challenging Example
This lecture explores the use of extremum-seeking control (ESC) to solve a challenging control problem with a right-half plane zero. This example was inspired ...
Steve Brunton
