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IFAC-PapersOnLine, 07/2017, Volume 50, Issue 1, pp. 12161 - 12166
The CDIO framework for development of engineering education is presented, including the overall ideas, the fundamental documents, and some development tools.... 
design-implement experiences | active learning | the CDIO Standards | The CDIO framework
Journal Article
International journal of control, ISSN 0020-7179, 01/2002, Volume 75, Issue 14, pp. 1114 - 1126
...Time and frequency domain convergence properties in iterative learning control MIKAEL NORRLO È F{ and SVANTE GUNNARSSON{* The convergence properties... 
Journal Article
Automatica (Oxford), ISSN 0005-1098, 12/2019, Volume 110, p. 108549
In this paper, we introduce an optimal average cost learning framework to solve output regulation problem for linear systems with unknown dynamics. Our optimal... 
Linear systems | Output regulation | Optimal control | Reinforcement learning | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology
Journal Article
Asian journal of control, ISSN 1934-6093, 04/2018, Volume 21, Issue 3, pp. 1057 - 1063
Some controllability aspects for iterative learning control (ILC) are discussed. Via a batch (lifted) description of the problem a state space model of the... 
output controllability | target path controllability | controllability | Iterative learning control | Technology | Automation & Control Systems | Science & Technology | Electrical engineering | Learning | Controllability | Algorithms | Stability | State space models | Iterative methods
Journal Article
2019 IEEE 58th Conference on Decision and Control (CDC), 12/2019, pp. 7480 - 7485
In this paper, we present a new result on robust adaptive dynamic programming for the Linear Quadratic Regulation (LQR) problem, where the linear system is... 
Conference Proceeding
Automatica (Oxford), ISSN 0005-1098, 2001, Volume 37, Issue 12, pp. 2011 - 2016
Iterative learning control (ILC) based on minimization of a quadratic criterion in the control error and the input signal is considered. The focus is on the... 
Learning control | Frequency domains | Non-minimum phase systems | Optimization | Robotics | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology
Journal Article
Journal of dynamic systems, measurement, and control, ISSN 1528-9028, 09/2012, Volume 134, Issue 5, p. 51013
Friction is the result of complex interactions between contacting surfaces in down to a nanoscale perspective. Depending on the application, the different... 
Automation & Control Systems | Technology | Instruments & Instrumentation | Science & Technology | Thermal properties | Mechanical properties | Research | Friction | Robots
Journal Article
International journal of control, ISSN 1366-5820, 03/2013, Volume 86, Issue 3, pp. 410 - 415
Boundary effects in iterative learning control (ILC) algorithms are considered in this article. ILC algorithms involve filtering of input and error signals... 
iterative learning control | convergence | implementation | boundary effects | Boundary effects | Implementation | Convergence | Iterative learning control | Technology | Automation & Control Systems | Science & Technology | Studies | Thermodynamics | Algorithms | Error signals | Learning | Filtering | Filtration | Computer simulation | Boundaries
Journal Article
International journal of electrical engineering & education, ISSN 0020-7209, 10/2012, Volume 49, Issue 4, pp. 349 - 364
A Design-Build-Test (DBT) course in electronics is presented. The course is designed based on the CDIO (Conceive-Design-Implement-Operate) framework for... 
CDIO | Design-Build-Test | Learning outcomes | Project management | Assessment | Engineering | Social Sciences | Technology | Engineering, Electrical & Electronic | Education & Educational Research | Education, Scientific Disciplines | Science & Technology | Engineering schools | Electrical engineering
Journal Article
Medical teacher, ISSN 0142-159X, 2010, Volume 32, Issue 4, pp. e191 - e198
Journal Article
Asian journal of control, ISSN 1561-8625, 01/2011, Volume 13, Issue 1, pp. 3 - 14
A framework for iterative learning control (ILC) is proposed for the situation when an ILC algorithm uses an estimate of the controlled variable obtained from... 
estimate | framework | asymptotic | controlled variable | Iterative learning control | Estimate | Controlled variable | Framework | Asymptotic
Journal Article
IFAC-PapersOnLine, 01/2018, Volume 51, Issue 22, pp. 412 - 417
An experimental comparison of two feed-forward based friction compensation methods is presented. The first method is based on the LuGre friction model, using... 
learning control | feed-forward compensation | Friction | splines | industrial robots
Journal Article
08/1998, Volume 18, Issue 4, 16
We have examined an optimization approach to iterative control design. The important ingredient is that the gradient of the design criterion is computed from... 
Control design | Industrial control | Three-term control | Feedback | Optimal control | Frequency | Iterative methods | Tuning | Signal design | Design optimization | Technology | Automation & Control Systems | Science & Technology
Magazine Article
IFAC-PapersOnLine, 07/2017, Volume 50, Issue 1, pp. 12748 - 12752
In this work an Inertial Measurement Unit is used to improve tool position estimates for an ABB IRB 4600 industrial robot, starting from estimates based on... 
Complementary filters | Industrial robots | Inertial measurement units | Extended Kalman filters | Position estimation
Journal Article
2007 European Control Conference, ECC 2007, 03/2015, pp. 4111 - 4118
Conference Proceeding
IEEE transactions on control systems technology, ISSN 1063-6536, 11/2009, Volume 17, Issue 6, pp. 1398 - 1405
Journal Article
2019, Volume 21, Issue 3
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