Control theory

Perceptual control theory

Perceptual control theory (PCT) is a model of behavior based on the properties of negative feedback control loops. A control loop maintains a sensed variable at or near a reference value by means of the effects of its outputs upon that variable, as mediated by physical properties of the environment. In engineering control theory, reference values are set by a user outside the system. An example is a thermostat. In a living organism, reference values for controlled perceptual variables are endogenously maintained. Biological homeostasis and reflexes are simple, low-level examples. The discovery of mathematical principles of control introduced a way to model a negative feedback loop closed through the environment (circular causation), which differs fundamentally from theories of behaviorism and cognitive psychology which model stimuli as causes of behavior (linear causation). PCT research is published in experimental psychology, neuroscience, ethology, anthropology, linguistics, sociology, robotics, developmental psychology, organizational psychology and management, and a number of other fields. PCT has been applied to design and administration of educational systems, and has led to a psychotherapy called the method of levels. (Wikipedia).

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Everything You Need to Know About Control Theory

Control theory is a mathematical framework that gives us the tools to develop autonomous systems. Walk through all the different aspects of control theory that you need to know. Some of the concepts that are covered include: - The difference between open-loop and closed-loop control - How

From playlist Control Systems in Practice

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What Is PID Control? | Understanding PID Control, Part 1

Chances are you’ve interacted with something that uses a form of this control law, even if you weren’t aware of it. That’s why it is worth learning a bit more about what this control law is, and how it helps. PID is just one form of feedback controller. It is the simplest type of contro

From playlist Understanding PID Control

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Quentin Berthet: Learning with differentiable perturbed optimizers

Machine learning pipelines often rely on optimization procedures to make discrete decisions (e.g. sorting, picking closest neighbors, finding shortest paths or optimal matchings). Although these discrete decisions are easily computed in a forward manner, they cannot be used to modify model

From playlist Control Theory and Optimization

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Data-Driven Control: The Goal of Balanced Model Reduction

In this lecture, we discuss the overarching goal of balanced model reduction: Identifying key states that are most jointly controllable and observable, to capture the most input—output energy. https://www.eigensteve.com/

From playlist Data-Driven Control with Machine Learning

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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

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Eigenvalues and Modes of Linear Systems

In this video we discuss how the eigenvalues of the A matrix lead to the modes of a linear state space system. We will also examine how to chose initial conditions to excite a specific mode. In other words, we use a carefully chosen initial condition to ensure that the state response of

From playlist Control Theory

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5. Are Infants Little Scientists?

MIT 24.08J Philosophical Issues in Brain Science, Spring 2009 View the complete course: http://ocw.mit.edu/24-08JS09 Instructor: Prof. Jesse Prinz License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

From playlist MIT 24.08J Philosophical Issues in Brain Science, Spring 09

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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. Chapters available at: http://databookuw.com/databook.pdf These lectures follow Chapter 8 from: "Data-Driven Science

From playlist Control Bootcamp

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Anil Seth on a New Science of Consciousness | Closer To Truth Chats

Anil Seth, professor of Cognitive and Computational Neuroscience at the University of Sussex, discusses his new theory about how we experience the world and the self. He talks about the "real problem" of consciousness, measuring consciousness, and the brain as a Predictive Perception Machi

From playlist Closer To Truth Chats

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15 2 Dyslexia

Recorded: Spring 2014 Lecturer: Dr. Erin M. Buchanan Materials: created for Memory and Cognition (PSY 422) using Smith and Kosslyn (2006) Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdoom.com/page/other-courses/

From playlist PSY 422 Memory and Cognition with Dr. B

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Nelson Goodman (1973) A Puzzle about Perception

Nelson Goodman gives a 1973 lecture called "A Puzzle about Perception". This talk is the second in his series of Kant Lectures on the Ways of Worldmaking. This is part of the Immanuel Kant Lectures given at Stanford University. You can find more Nelson Goodman here: https://www.youtube.com

From playlist Philosophy of Mind

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Donald Davidson on Knowledge & Perception - The Martin Discussion

Donald Davidson discusses his views on epistemology and perception with Michael Martin. Among other things, he discusses the traditional definition of knowledge as justified true belief, coherentism about truth and knowledge, John McDowell's criticism, the notion of qualia, his rejection o

From playlist Philosophy of Mind

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6 Imagery

Recorded: Spring 2014 Lecturer: Dr. Erin M. Buchanan Materials: created for Memory and Cognition (PSY 422) using Smith and Kosslyn (2006) Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdoom.com/page/other-courses/

From playlist PSY 422 Memory and Cognition with Dr. B

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Olivier Glass : Control of the motion of a set of particles

Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b

From playlist Control Theory and Optimization

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5 Varieties of Philosophical Skepticism - Hilary Putnam

In this fifth lecture, James Conant continues to discuss and contrast Cartesian skepticism with Kantian skepticism, and does so by discussing the work of Hilary Putnam and John McDowell. In this series of lectures on varieties of philosophical skepticism, James Conant distinguishes betwee

From playlist Varieties of Philosophical Skepticism - Cartesian vs Kantian

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Sensory (olfactory) Coding from Behavioral Perspective (Lecture 2) by Dima Rinberg

PROGRAM ICTP-ICTS WINTER SCHOOL ON QUANTITATIVE SYSTEMS BIOLOGY (ONLINE) ORGANIZERS Vijaykumar Krishnamurthy (ICTS-TIFR, India), Venkatesh N. Murthy (Harvard University, USA), Sharad Ramanathan (Harvard University, USA), Sanjay Sane (NCBS-TIFR, India) and Vatsala Thirumalai (NCBS-TIFR, I

From playlist ICTP-ICTS Winter School on Quantitative Systems Biology (ONLINE)

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CDIS 4017 - Speech Perception (Done)

Chaya Guntupalli (Nanjundeswaran) Ph.D. CDIS 4017 - Speech and Hearing Science I ETSU Online Programs - http://www.etsu.edu/online

From playlist ETSU: CDIS 4017 - Speech and Hearing Science I | CosmoLearning Audiology

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7 1 Knowledge

Recorded: Spring 2014 Lecturer: Dr. Erin M. Buchanan Materials: created for Memory and Cognition (PSY 422) using Smith and Kosslyn (2006) Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdoom.com/page/other-courses/

From playlist PSY 422 Memory and Cognition with Dr. B

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Control Theory and COVID-19: Sensors

Follow on Twitter: https://twitter.com/eigensteve This video will discuss the critical importance of sensors in controlling COVID-19, along with several current measurement strategies. Website: https://www.eigensteve.com/ Acknowledgements: Consultation and Information: Bing Brunton Pro

From playlist Control Theory and COVID-19

Related pages

Control theory | Negative feedback | Setpoint (control system) | Inverse kinematics