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Autoencoders

Autoencoders Autoencoders Fredrik Bagge Carlson Fredrik Bagge Carlson, Lund University: Autoencoders Introduction General idea Auto: Greek auto- "self, one’s own" Encode: from en- "make, put in" + code: a system of words, letters, figures, or symbols used to represent others Find a useful encoding, h = f(x), of data x in an unsupervised manner. Trained using an encoder h = f(x) and a decoder x̂ =

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/DeepLearning/2016/autoencoders.pdf - 2025-07-11

Improving Imputation Using Stacked denoising Autoencoder

Improving Imputation Using Stacked denoising Autoencoder Improving Imputation Using Stacked denoising Autoencoder Najmeh Abiri November 22, 2016 Computational Biology and Biological Physics Missing Data Pre-processing data Astronomy Outlier? Biology Missing Data? 1 Missing data in Biology Molecular Patterns of Life 2 Missing data in Biology Generate detailed DNA/protein molecular fingerprints and

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/DeepLearning/2016/improving-imputation-stacked.pdf - 2025-07-11

Untitled

Untitled 1 Governor s and Stabi li ty Theory Karl Johan Åström Department of Automatic Control LTH Lund University Governor s and Stabi li ty Theory 1. Introduction 2. Maxwell and Routh 3. Vyshnegradskii, Stodola and Hurwitz 4. The Routh-Hurwitz Theorem 5. Lyapunov 6. More recent results 7. Summary Theme: Controlling the speed of mechanical machines and encountering instability. Lectures 1940 1960

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/HistoryOfControl/2016/L02Governorseight.pdf - 2025-07-11

Untitled

Untitled 1 Ships and Aerospa ce Karl Johan Åström Department of Automatic Control LTH Lund University Ships and Aerospa ce K. J. Åström 1. Introduction 2. Ships 3. Early Autopilots for Aircrafts 4. German Autopilots 5. Missiles 6. Later Developments 7. Summary Theme: Gyroscopes, powerful actuators and mission critical systems. Lectures 1940 1960 2000 1 Introduction 2 Governors | | | 3 Process Cont

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/HistoryOfControl/2016/L06ShipsAndAerospaceeight.pdf - 2025-07-11

Untitled

Untitled 1 Automatic Cont rol in Sweden Karl Johan Åström Department of Automatic Control, LTH Lund University Lectures 1940 1960 2000 1 Introduction 2 Governors | | | 3 Process Control | | | 4 Feedback Amplifiers | | | 5 Harry Nyquist | | | 6 Aerospace | | | 7 Automatic Control Emerges ← | | 8 The Second Phase ← ← | 9 Automatic Control in Sweden | | | 10 Automatic Control in Lund | | 11 The Futur

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/HistoryOfControl/2016/L09Swedeneight.pdf - 2025-07-11

No title

L4: Hybrid systems and dynamic programming • Hybrid Systems ○ Piecewise Linear Systems ○ Piecewise Quadratic Lyapunov Functions ○ Value Iteration ○ Policy Iteration ○ Jump Linear Systems Literature: Piecewise Quadratic: Johansson/Rantzer, IEEE TAC, 43:4 (1998) Networked Control Example: Nilsson/B/W, Automatica 34:1 (1998) Value and policy iteration: web.mit.edu/dimitrib/www/Det_Opt_Control_Lewis_V

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/NonlinearControl/2017/fu_lec04_2017eight.pdf - 2025-07-11

No title

Exercise for Optimal control – Week 2 Choose one problem to solve. Disclaimer This is not a complete solution manual. For some of the exercises, we provide only partial answers, especially those involving numerical problems. If one is willing to use the solution manual, one should judge whether the solutions are correct or wrong by him/herself. Exercise 1 (Insect control). Let w(t) and r(t) denote

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/Optimal_Control/2023/ex2-sol.pdf - 2025-07-11

No title

Discrete Systems Karl-Erik Årzén Material • The material comes from • PhD course “Discrete Event Systems”, 1998 • PhD course “Discrete & Hybrid Systems”, 2004 • Lecture on Discrete Event Systems from the Market-Driven Systems course • Lecture on Discrete Event Systems from Real-Time Systems Course • Disclaimer: • A lot of material comes from old pdf slides for which I do not have the source any mo

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/PhysicalModeling/Lectures/DiscreteSystems_x4.pdf - 2025-07-11

No title

Deep RL Assignment 1: Imitation Learning Fall 2019 due September 16th, 11:59 pm The goal of this assignment is to experiment with imitation learning, including direct behavior cloning and the DAgger algorithm. In lieu of a human demonstrator, demonstrations will be provided via an expert policy that we have trained for you. Your goals will be to set up behavior cloning and DAgger, and compare thei

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/StudyCircleDeepReinforcementLearning/cs285_hw1.pdf - 2025-07-11

FRT090projektkurs.dvi

FRT090projektkurs.dvi REGLERTEKNIK LTH KURSINFORMATION PROJEKT I REGLERTEKNIK FRT090 Modellbaserad reglerdesign I ett industriellt reglerprojekt tar ofta modelle- ringsarbete en stor del av tiden. Det gäller också att beskriva de prestandabegränsingar som ges av dynamik i givare och ställdon och av mätbrus och styrsignalmättning. Kursprojekten genomförs före- trädesvis på verkliga modellprocesser

https://www.control.lth.se/fileadmin/control/Education/EngineeringProgram/InformationSheets/2016-2017/FRT090projektkurs.pdf - 2025-07-11

FRTN10flervar.dvi

FRTN10flervar.dvi REGLERTEKNIK LTH KURSINFORMATION FLERVARIABEL REGLERING FRTN10 Design av reglersystem Hur reglerar man en kemisk process, spårföljning- en i en DVD-spelare eller bränsleinsprutningen i en bil? Systemen är mycket olika, men har ändå många gemensamma drag. Ett sådant drag är att komplexa samband ökar behovet av systematiska verktyg för modellering och optimering. För att kla- ra de

https://www.control.lth.se/fileadmin/control/Education/EngineeringProgram/InformationSheets/2016-2017/FRTN10flervar.pdf - 2025-07-11

manual.dvi

manual.dvi MPCtools 1.0 — Reference Manual Johan Åkesson Department of Automatic Control Lund Institute of Technology January 2006 Contents 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2. Getting Started . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3. Model Predictive Control – Background . . . . . . . . . . . . . 6 4. Linear Model Predictive Contr

https://www.control.lth.se/fileadmin/control/Research/MPCtools/MPCtools-1.0-manual.pdf - 2025-07-11

Generate code for lasso problem

Generate code for lasso problem QPgen Home Examples Installation Documentation Licence Authors Citing Generate code for lasso problem % set problem dimensions q = 2000; n = 10000; % generate sparse data matrix F = sprandn(q,n,10/n); % regenerate until all columns are non zero while not(isempty(find(sum(F,2) == 0))) F = sprandn(q,n,10/n); end % store data in QP struct QP.H = F'*F; QP.G = F'; QP.C =

https://www.control.lth.se/fileadmin/control/Research/Tools/qpgen/gen_lasso.html - 2025-07-11

Licence

Licence QPgen Home Examples Installation Documentation Licence Authors Citing Licence QPgen and its generated code is licenced under the GNU Affero GPL v3 licence. By using QPgen and/or its generated code, you agree to the terms in the licence. If this licence is not suitable for your purposes, please contact the authors for a different licence agreement. Page generated 2015-12-09 10:07:10 CET, by

https://www.control.lth.se/fileadmin/control/Research/Tools/qpgen/licence.html - 2025-07-11

Microsoft Word - Assignment 3.docx

Microsoft Word - Assignment 3.docx Assignment 3 - A not so simple service The task is to design a cloud service from your field of expertise. This is your course project. For example, how can we make control-as-a-Service or network-simulation-on- demand? You should get together in the groups and decide on what should be an interesting service to have. One possibility is to reuse an existing single

https://www.control.lth.se/fileadmin/control/staff/JohanEker/Assignment_3.pdf - 2025-07-11

Pauline Kergus –

Pauline Kergus – Pauline Kergus Born November 25, 1992 H +33 (0)6 68 87 95 87 B pauline.kergus@control.lth.se Education 2016–2019 PhD in Automatic Control, ONERA, Toulouse, France. Supervision: Charles Poussot-Vassal and Fabrice Demourant. Title: "Data-driven model reference control in the frequency-domain: From model reference selection to controller validation." Thesis available at tel-3084374 2

https://www.control.lth.se/fileadmin/control/staff/PaulineKergus/CV_KERGUS.pdf - 2025-07-11

Emil Vladu

Emil Vladu | Department of Automatic Control Faculty of Engineering, LTH Search Department of Automatic Control LTH, Faculty of Engineering Education Research External Engagement Personnel Publications About, Contact Home  >  Emil Vladu Denna sida på svenska This page in English Emil Vladu PhD student at the Department of Automatic Control since 2019.   Currently Teaching: Page Manager: Mika Nishi

https://www.control.lth.se/personnel-old/emil-vladu/ - 2025-07-11

Automotive Systems

Automotive Systems | Department of Automatic Control Faculty of Engineering, LTH Search Department of Automatic Control LTH, Faculty of Engineering Education Research External Engagement Personnel Publications About, Contact Home  >  Rolf Johansson  >  Automotive Systems Denna sida på svenska This page in English Automotive Systems Research Publications of Prof. Rolf Johansson   Publications in Au

https://www.control.lth.se/personnel-old/rolf-johansson/automotive-systems/ - 2025-07-11