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Group - Emma Sparr | Division of Physical Chemistry Faculty of Science Search Division of Physical Chemistry Department of Chemistry Department of Chemistry Kemicentrum Safety and security Contact About Education Master/Bachelor-Projects News and events Research People Instruments COMMONS Center Center for Scattering Methods Home  >  People  >  Senior Scientists  >  Emma Sparr  >  Group - Emma Spa

https://www.physchem.lu.se/people/seniors/sparr/group-emma-sparr/news/people/ - 2025-09-28

Amyloid interaction with lipid membranes | Division of Physical Chemistry Faculty of Science Search Division of Physical Chemistry Department of Chemistry Department of Chemistry Kemicentrum Safety and security Contact About Education Master/Bachelor-Projects News and events Research People Instruments COMMONS Center Center for Scattering Methods Home  >  Research  >  Colloidal biology  >  Amyloid

https://www.physchem.lu.se/research/colloidal-biology/amyloid-interaction/news/research/ - 2025-09-28

Calbindin D9k as a protein component for a model cytosol | Division of Physical Chemistry Faculty of Science Search Division of Physical Chemistry Department of Chemistry Department of Chemistry Kemicentrum Safety and security Contact About Education Master/Bachelor-Projects News and events Research People Instruments COMMONS Center Center for Scattering Methods Home  >  Research  >  Colloidal bio

https://www.physchem.lu.se/research/colloidal-biology/calbindin/news/research/ - 2025-09-28

Drying interfaces | Division of Physical Chemistry Faculty of Science Search Division of Physical Chemistry Department of Chemistry Department of Chemistry Kemicentrum Safety and security Contact About Education Master/Bachelor-Projects News and events Research People Instruments COMMONS Center Center for Scattering Methods Home  >  Research  >  Studies of model systems  >  Drying interfaces Denna

https://www.physchem.lu.se/research/modelsystems/drying-interfaces/news/research/modelsystems/ - 2025-09-28

Robotics and Semantic Systems | Robotics and Semantic Systems LTH Computer Science Search Robotics and Semantic Systems Computer Science | LTH | Lund University Research Education Publications People About Welcome to Robotics and Semantic Systems Research Kuka IIWA Dual-Arm robotic System YuMi Robot Engine assembly at PSA Dual Kuka IIWA system for engine assembly at PSA Matthias Mayr presenting th

https://rss.cs.lth.se/browse/3/news/article/master-thesis-presentation-on-sequence-memorizatio/people/browse/1/ - 2025-09-28

2021.10.14 - New publication in Advanced Energy Materials | Division of Chemical Physics Search Division of Chemical Physics Department of Chemistry | Faculty of Science Department of Chemistry Kemicentrum Safety and security About Research Education People Publications Open Positions Home  >  News  >  News Archive  >  2021.10.14 - New publication in Advanced Energy Materials Denna sida på svenska

https://www.chemphys.lu.se/news/news-archive/20211014-new-publication-in-advanced-energy-materials/news/news-archive/20170208-electron-acoustic-phonon-coupling-in-single-crystal-ch3nh3pbi3-perovskites-revealed-by-coherent-acoustic-phonons/research/news/news-archive/20161005-mastering-morphology-for-solution-borne-electronics/ - 2025-09-28

() Bottom-Up Architectures Bo Bernhardsson and K. J. ÃĚstrÃűm Department of Automatic Control LTH, Lund University Bo Bernhardsson and K. J. ÃĚstrÃűm Bottom-Up Architectures Bottom-Up Architectures 1 Introduction 2 Basic Architectures 3 Large Parameter Variations 4 Otto J. M. Smith’s Specials 5 Miscellaneous 6 Soft Computing 7 Summary Theme: Brick by brick. Bo Bernhardsson and K. J. ÃĚstrÃűm Botto

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/BottomUp.pdf - 2025-09-28

() Iterative Learning Control (ILC) Bo Bernhardsson and Karl Johan Åström Department of Automatic Control LTH, Lund University Bo Bernhardsson and Karl Johan Åström Iterative Learning Control (ILC) ILC ILC - the main idea Time Domain ILC approaches Stability Analysis Example: The Milk Race Frequency Domain ILC Example: Marine Vibrator Material: Bo Bernhardsson and Karl Johan Åström Iterative Learn

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/ILC.pdf - 2025-09-28

Control System Design - Interaction Bo Bernhardsson and Karl Johan Åström Department of Automatic Control LTH, Lund University Bo Bernhardsson and Karl Johan Åström Control System Design - Interaction Interaction 1 Introduction 2 Interaction of Simple Loops 3 Multivariable zeros 4 Decoupling 5 Parallel Systems 6 Summary Theme: When the wires get crossed Bo Bernhardsson and Karl Johan Åström Contro

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/Interaction.pdf - 2025-09-28

() Loop Shaping Bo Bernhardsson and Karl Johan Åström Department of Automatic Control LTH, Lund University Bo Bernhardsson and Karl Johan Åström Loop Shaping Loop Shaping 1 Introduction 2 Loop shaping design 3 Bode’s ideal loop transfer funtion 4 Minimum phase systems 5 Non-minimum phase systems 6 Fundamental Limitations 7 Performance Assessment 8 Summary Theme: Shaping Nyquist and Bode Plots Bo B

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/Loopshaping.pdf - 2025-09-28

() Model Predictive Control (MPC) Bo Bernhardsson and Karl Johan Åström Department of Automatic Control LTH, Lund University Bo Bernhardsson and Karl Johan Åström Model Predictive Control (MPC) Model Predictive Control (MPC) MPC Problem Setup and Parameters Optimization Problem MPC Tools How to get Integral Action Example - Quad Tank Explicit MPC and CVXGEN Material: Rawlings (2000), Tutorial over

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/MPC.pdf - 2025-09-28

Control System Design - PID Control Bo Bernhardsson and Karl Johan Åström Department of Automatic Control LTH, Lund University Bo Bernhardsson and Karl Johan Åström Control System Design - PID Control Control System Design - PID Control 1 Introduction 2 The Basic Controller 3 Performance and Robustness 4 Tuning Rules 5 Relay Auto-tuning 6 Limitations of PID Control 7 Summary Theme: The most common

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/PIDControl.pdf - 2025-09-28

() Control System Design - A Perspective Bo Bernhardsson Karl Johan Åström Department of Automatic Control LTH, Lund University Bo Bernhardsson Karl Johan Åström Control System Design - A Perspective Control System Design - A Perspective 1 Introduction 2 Integrated System and Control Design 3 Control Principles 4 Requirements and Methods 5 Summary Theme: Many things to think about. Bo Bernhardsson

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/Perspective.pdf - 2025-09-28

() Requirements Bo Bernhardsson and Karl Johan Åström Department of Automatic Control LTH, Lund University Bo Bernhardsson and Karl Johan Åström Requirements Requirements and Limitations 1 Introduction 2 The basic feedback system 3 A broad view of control system design 4 Command signal following - System inversion 5 Disturbances 6 Process uncertainty 7 Robustness 8 Summary Theme: Requirements

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/Requirements.pdf - 2025-09-28

ex01.dvi Exercise Session 1 1. To evaluate a controlled system the maximum values of the sensitivity function and the complementary sensitivity functions have been computed giving max ω |S(iω)| = 2.45, max ω |T (iω)| = 1.70 Use these numbers to estimate the largest amplification of disturbances that may occur. Also provide an estimate of the precision in the transfer function required for the clos

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/ex01.pdf - 2025-09-28

ex3.dvi Exercise Session 3 1. Describe your results on Handin 2. 2. a) Show that state feedback control u = −Lx̂ + lryr, where x̂ is given by a Kalman filter, can be written as U(s) = −Cfb(s)Y (s) + Cff (s)Yr(s) with Cfb(s) = L(sI − A + BL − KC)−1K Cff (s) = (I − L(sI − A + BL − KC)−1B)lr = (I + L(sI − A + KC)−1B)−1lr b) Show that the controller above can be written as R(s)U = −S(s)Y + T (s)Yr wit

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/ex3.pdf - 2025-09-28

ex5.dvi Exercise 5 BottomUp and Interaction 1. Explain why the standard Smith predictor does not work for processes with integration or unstable dynamics. 2. Smith’s controller for a process P(s) = P0(s)e −sL with time delay is given by C(s) = C0(s)Cpred(s), Cpred(s) = 1 1+ P0(s)C0(s)(1− e−sL) where C0 is the nominal controller for the process P0 without delay and L is the time delay. The transfer

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/ex5.pdf - 2025-09-28

() Handin 4 A) Conditional integration are methods where windup is avoided by suspending integration under certain circumstances, for example when the error is large or when the control signal saturates. Construct a counterexample which shows that such methods may result in systems that have equilibria with nonzero error. (Thanks to F. Bagge-Carlsson for raising this question) B) Suggest a scheme

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/handin4.pdf - 2025-09-28

Landaus Flexible Transmission References Hand-out, 4 pages Landau et al, The Combined Pole Placement/ Sensitivity Shaping Method , Internal Report Grenoble, 1994 The problem is to design a SISO controller for a flexible transmission. The same controller should work for three drift cases (0, 50 and 100%). There are several specifications. It is hard to meet all of them simultaneously. Matlab-code T

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/landau.html - 2025-09-28

() Control System Design - LQG Bo Bernhardsson, K. J. Åström Department of Automatic Control LTH, Lund University Bo Bernhardsson, K. J. Åström Control System Design - LQG Lecture - LQG Design Introduction The H2-norm Formula for the optimal LQG controller Software, Examples Properties of the LQ and LQG controller Design tricks, how to tune the knobs What do the “technical conditions” mean? How to

https://www.control.lth.se/fileadmin/control/Education/DoctorateProgram/ControlSystemsSynthesis/2016/lqg.pdf - 2025-09-28