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A Process Knowledge Base Browser

This report is the documentation of a project called "A Process Knowledge Base Browser", that has been performed as a Master Thesis in Computer Engineering at the Lund Institute of Technology.

Visual Contribution in Human Postural Control

An important function for the human body is the ability to maintain balance. This has been compared to a sixth sense whose function we would have difficulties to be without. The system of balance is a complex system which uses several different sensors to get a satisfactory image of the position and motion of the body. One of the sensors is vision. Our assignment has been to make an equipment for

Transientanalys

When measuring transient behaviour in descrete time, limitations in memory size impose truncation errors on the computations performed in the subsequent analysis of data. In this paper different approached to minimize or avoid these errors are investigated.

Rekursiv identifiering av dynamiska egenskaper för stabilitetsmonitering

Identification of process dynamics is used for stability monitoring in nuclear reactors (Boiling Water Reactor). This report treats the problem of estimating a damping factor and a resonance frequency from the neutron flux as measured in the reactor. A new parametric online method for identification is derived and presented, and is shown to meet the requirements of stability monitoring. The techni

Automatisk viktreglering av ubåt med olinjära systemkomponenter

This is a presentation of automatic weight control of a submarine, where the use of nonlinear system components has been considered. The work was done at Lund Institute of Technology, Department of Automatic Control, with Kockums Marine, Malmö as sponsoring organization. The nonlinearities are due to the use of OnOff pump in the controller. This presentation consists of five different controllers.

No title

The work is concerned with analysis of a method for robust adaptive regulation without persistent excitation presented by R. Lozano-Leal. The method is based on a least square identification algorithm with a dead zone. The dead zone is calculated from the covariance matrix and from the convergence of the parameter estimation. A convergence proof gives explicit bounds on the plant output.