System Identification: Theory for the User

From the Back Cover

The field's leading text, now completely updated. 

Modeling dynamical systems ― theory, methodology, and applications. 

Lennart Ljung's System Identification: Theory...

Stanford Engineering Everywhere: CS223A - Introduction to Robotics

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What Are Dynamic Models? Chapter 1 from Dynamic Models in Biology

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Learning From Data

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Advances in Feedforward Control for Measurable Disturbances (slides)

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Math Background for Machine Learning from Carnegie Melon University

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Reinforcement Learning: An Introduction

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The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays...

Model Identification and Adaptive Control - From Windsurfing to Telecommunic...

This book is based on a workshop entitled: "Model Identification and Adap­tive Control: From Windsurfing to Telecommunications" held in Sydney, Aus­tralia, on December 16, 2000. The workshop...

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Averaging Methods in Nonlinear Dynamical Systems

Perturbation theory and in particular normal form theory has shown strong growth during the last decades. So it is not surprising that the authors have presented an extensive revision of the...

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Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields...

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No! Not Laplace Transforms

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Feedback Systems: An Introduction for Scientists and Engineers

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The set of 10 lectures...

Radar Systems Engineering Lecture 4: The Radar Equation

This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...

edX course: Dynamics and Control

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CS224n: Natural Language Processing with Deep Learning | Winter 2021

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