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Publikationer | Institutionen för utbildningsvetenskap
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Hur kan det bli enklare att äta rätt? – Vetenskap och Hälsa Populärvetenskapligt om forskning inom medicin och hälsa. Läs mer. Meny Visa navigation Teman Podd Tidskrift Föreläsningar Prenumerera Forskningens dag Vad forskar du om? Unga intervjuar forskare Prenumerera Om webbplatsen Tillgänglighetsredogörelse Behandling av personuppgifter Mer Forskningens dag Vad forskar du om? Unga intervjuar fors
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LUCS in LUCRIS | LUCS : Lund University Cognitive Science
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News | Robotics and Semantic Systems LTH Computer Science Search Robotics and Semantic Systems Computer Science | LTH | Lund University Research Education Publications People About Robotics and Semantic Systems > news Denna sida på svenska This page in English Welcome Stefan 2023-05-08 Welcome Dr. Stefan Reitmann! Stefan has joined the HRI group of RSS in mid-April this year (2023) and will be w
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Publications | Department of Archaeology and Ancient History
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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 News Home > News > News Archive > 2021.10.14 - New publication in Advanced Energy Materials Denna sida på svenska This page
Literature (Motion Planning Course 2019) | 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 > Education > Doctorate Program > Motion Planning and Control > Literature (Motion Planning Course 2019) Denna sida på svenska This page in
Session 1 Linear Control Systems. Examples. Linearization. Transition Matrix. Reading Assignment Rugh (1996 edition) chapters 1-4 and scan Chapter 20 until Example 20.7. The main new thing is to do linearization along a trajectory rather than at an equilibrium, and the definition and properties of the transition matrix Φ(t, τ). Exercise 1.1 = Rugh 1.9 Exercise 1.2 = Rugh 1.20 (spectral norm) Exerc
Session 3 Reachability and Controllability. Observability and Reconstructability. Controller and Observer Forms. Reading Assignment Rugh, Ch 9, 13, 14 (only Theorem 14.9) (for continuous-time systems) and Ch 25 (for discrete-time systems). Exercise 3.1 = Rugh 9.1. Exercise 3.2 = Rugh 9.2 Exercise 3.3 = Rugh 9.4 Exercise 3.4 = Rugh 9.5 Exercise 3.5 = Rugh 9.7 Exercise 3.6 a. Show that {A,B} is cont
Session 5 LTV stability. Quadratic Lyapunov functions. Reading Assignment Rugh Ch 6,7,12 (skip proofs of 7.8, 12.6 and 12.7),14 (pp240-247), and (22,23,24,28) Exercise 5.1 = Rugh 6.3 iii+iv Exercise 5.2 = Rugh 6.11 Exercise 5.3 = Rugh 7.3 Exercise 5.4 = Rugh 8.3 Exercise 5.5 = Rugh 7.6 Exercise 5.6 = Rugh 7.11 Exercise 5.7 = Rugh 7.20 Exercise 5.8 = Rugh 23.2 Hand in problems Exercise 5.9 = Rugh 8
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
LionSealWhite Linear Systems, 2019 - Lecture 1 Introduction Multivariable Time-varying Systems Transition Matrices Controllability and Observability Realization Theory Stability Theory Linear Feedback Multivariable input/output descriptions Some Bonus Material 1 / 21 LionSealWhite Lecture 1 State equations Linearization Examples Transition matrices Rugh, chapters 1-4 Main news: Linearization aroun
LionSealWhite Lecture 5 LTV stability concepts Quadratic Lyapunov functions Feedback, Well-posedness, Internal Stability Rugh Ch 6,7,12 (skip proofs of 12.6 and 12.7),14 (pp240-247) + (22,23,24,28) Zhou, Doyle, Glover pp 117-124 1 / 31 LionSealWhite Stability For LTI systems ẋ = Ax the stability concept was easy, we had the two concepts i) Stability: x(t) remains bounded ii) Asymptotic stability:
LionSealWhite Lecture 7 Theory for polynomial matrices Hermite and Smith normal forms Smith McMillan form Poles and Zeros Rugh Ch 16-17 (can skip proofs of 16.7,17.4,17.5,17.6) 1 / 36 LionSealWhite Polynomial matrix fraction descriptions There are two natural generalisation to the SISO description G(s) = n(s) d(s) Right polyomial matrix fraction description: G(s) = NR(s)DR(s)−1 { DR(s)X(s) = U(s)
Control System Synthesis - Introduction - PhD Class - Fall 2020 Control System Synthesis - Introduction PHD CLASS - FALL 2020 Brief history and motivations The big picture Class overview Content overview 1 Brief history and motivations 2 The big picture 3 Class overview Pauline Kergus - Karl Johan Åström Control System Synthesis 1st September 2020 2/27 Brief history and motivations The big picture
Control System Synthesis - Basics - PhD Class - Fall 2020 Control System Synthesis - Basics PHD CLASS - FALL 2020 Performance specifications Driving example: Cruise control Design trade-offs Expression in the frequency-domain Loopshaping Fundamental limitations System design considerations Sensitivity minimization Bode’s integral formula Gain crossover frequency inequality Internal stability Summa
Control System Synthesis - Model Predictive Control - PhD Class - Fall 2020 Control System Synthesis - Model Predictive Control PHD CLASS - FALL 2020 MPC design Basic idea How does MPC work? Design parameters Important issues Going further Robust MPC Stochastic MPC Running MPC faster and explicit MPC Adaptive and Gain-scheduled MPC Nonlinear MPC Data-driven MPC 1 Introduction 2 Fundamentals 3 Desi
