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kursplanemall HT, september 2006 1. Course Details 1. Course code ARK X31 2. Course title Archaeology. B.A. Degree Course. Level 3 3. Cycle (1st, 2nd or 3rd) 1st [Undergraduate] 4. Higher education credits 30 credits 5. Details of approval of course Syllabus approved by the Syllabus Committee of the Faculty of the Humanities and Theology 8th February 2007. 6. Details of changes approved 2. General
https://www.ark.lu.se/media/utbildning/dokument/kursplaner/ARKX31_eng.pdf - 2025-07-08
1. Identifikation och grundläggande uppgifter 1. Kurskod ARKX32 2. Kursens namn Historisk arkeologi, kandidatkurs 3. Nivå G 4. Högskolepoäng 30 5. Beslutsuppgifter Fastställd av kursplanegruppen för området för humaniora och teologi 2007-02-28 6. Ändringsuppgifter 2. Allmänna uppgifter 1. Huvudområde/n, om tillämpligt 2. Ämne, om tillämpligt Historisk arkeologi 3. Typ av kurs och dess placering i
https://www.ark.lu.se/media/utbildning/dokument/kursplaner/ARKX32.pdf - 2025-07-08
1. Course Details 1. Course code HOS A01 2. Course title Historical Osteology: Zooarchaeology 3. Cycle (1st, 2nd or 3rd) 1st [Undergraduate] 4. Higher education credits 30 5. Details of approval of course Syllabus approved by the Syllabus Committee of the Faculty of the Humanities and Theology 2nd November 2007. 6. Details of changes approved 2. General Information 1. Field(s) (if applicable) Arch
https://www.ark.lu.se/media/utbildning/dokument/kursplaner/HOSA01_eng.pdf - 2025-07-08
kursplanemall HT, september 2006 1. Course Details 1. Course code HOS A12 2. Course title Historical Osteology: The Domestic Animals of Human Beings 3. Cycle (1st, 2nd or 3rd) 1st [Undergraduate] 4. Higher education credits 7.5 5. Details of approval of course Syllabus approved by the Syllabus Committee of the Faculty of the Humanities and Theology 12th February 2008. 6. Details of changes approve
https://www.ark.lu.se/media/utbildning/dokument/kursplaner/HOSA12_eng.pdf - 2025-07-08
1. Identifikation och grundläggande uppgifter 1. Kurskod HOSL01 2. Kursens namn Människa, natur, kultur och etik 3. Nivå G 4. Högskolepoäng 7,5 5. Beslutsuppgifter Fastställd av kursplanegruppen för området för humaniora och teologi 2007-02-28 6. Ändringsuppgifter 2. Allmänna uppgifter 1. Huvudområde/n, om tillämpligt Arkeologi och antikens historia 2. Ämne, om tillämpligt 3. Typ av kurs och dess
https://www.ark.lu.se/media/utbildning/dokument/kursplaner/HOSL01.pdf - 2025-07-08
1. Course Details 1. Course code SAS H09 2. Course title Ancient Egypt and Its Influence on Early European Cultures 3. Cycle (1st, 2nd or 3rd) 1st [Undergraduate] 4. Higher education credits 7.5 5. Details of approval of course Syllabus approved by the Syllabus Committee of the Faculty of the Humanities and Theology 7th March 2008. 6. Details of changes approved 2. General Information 1. Field(s)
https://www.ark.lu.se/media/utbildning/dokument/kursplaner/SASH09_eng.pdf - 2025-07-08
1. Course Details 1. Course code SAS H18 2. Course title Archaeology and Ancient History: Life and Death of Medieval People 3. Cycle (1st, 2nd or 3rd) 1st [Undergraduate] 4. Higher education credits 7.5 5. Details of approval of course Syllabus approved by the Syllabus Committee of the Faculty of the Humanities and Theology 21st April 2008. 6. Details of changes approved 2. General Information 1.
https://www.ark.lu.se/media/utbildning/dokument/kursplaner/SASH18_eng.pdf - 2025-07-08
Session 7 Polynomial Matrix Descriptions, Poles and Zeros of MIMO systems Reading Assignment Rugh, Ch. 16-17. Exercises Exercise 7.1 Make sure you can handle the Maple routines Matrix, Hermite- Form, SmithForm. Hint: ?MatrixPolynomialAlgebra[HermiteForm] gives some help text. Exercise 7.2 = Rugh 16.1 Exercise 7.3 = Rugh 16.2 Exercise 7.4 Determine the Smith form, i.e. the invariant polynomials, fo
() 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 - 2025-07-08
() 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 - 2025-07-08
() 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 - 2025-07-08
() 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 - 2025-07-08
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 - 2025-07-08
() 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 - 2025-07-08
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 - 2025-07-08
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 - 2025-07-08
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 - 2025-07-08
() 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 - 2025-07-08
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 - 2025-07-08
() 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 - 2025-07-08
