Learning robot control, a subclass of the field of learning control, refers to the process of acquiring a sensory-motor control strategy for a particular movement task and movement system by trial and error. Learning control is usually distinguished from adaptive control (see ADAPTIVE CONTROL) in that the learning system is permitted to fail during the process of learning, while adaptive contro...

Industrial control hardware may be reused for several purposes. The same industrial PC type may control the drives of a portal system, act as a programmable logic controller, or control any other device. Moreover the same piece of hardware may control different device types at the same time in concurrency. In this paper, we discuss four successive software engineering approaches to exploit the ...

This paper develops methods for reducing the complexity and, thereby, improving the linguistic interpretability of Takagi-Sugeno fuzzy systems that are learned online in a data-driven, incremental way. In order to ensure the transparency of the evolving fuzzy system at any time, complexity reduction must be performed in an online mode as well. Our methods are evaluated on high-dimensional data ...

The CDIO (Conceive Design Implement Operate) Initiative is explained, and some of the results at the Applied Physics and Electrical Engineering program at Linköping University, Sweden, are presented. A project course in Automatic Control is used as an example. The projects within the course are carried out using the LIPS (Linköping interactive project steering) model. An example of a project, t...