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Neural Networks in Extremal Seeking Control
A Robot Playing Scrabble Using Visual Feedback
We have used a robot and a camera to design and implement a system which is able to play the known game Scrabble. To make this possible we have constructed a robot system and a vision system. The vision system task is to find the position of the cubes. The robot system uses these positions to generate the trajectories. The feedback from the camera is used to correct the trajectory. That the system
Robust Control of a Flexible Servo with Parametric Uncertainty
Digital Loudspeaker Equalization
Adaptive Rejection of Multiple Sinusoids in Measurement Signals
Identification of Respiratory Mechanics during Mechanical Ventilation
Kappa Tuning—Improved Relay Auto-Tuning for PID Controllers
Non-linear Control of a Bouncing Ball
Pressure Control of Haldex Limited Slip Coupling
Nonlinear Modeling of Locomotive Propulsion System and Control
In this report the motor side of a converter driven AC-locomotive is studied and modeled. The motor side consists of an asynchronous electrical engine, an indirect self controller, a voltage converter, a Pulse Width Modulator(PWM) and the train mechanics. The converter is supplied with voltage from a DC-link. The link is connected to a line converter which transfers energy from the railway net to
Control of Substrate Feeding in Escherichia coli Cultures
Product Test Bench Based on Real-Time Simulation
Modellering av ett plattvärmeväxlarsystem med reglering på ång- och sekundärsidan
Modelling of Two-Phase Flows with Modelica
Modelica-TM is an object-oriented language for modeling physical systems that was designed in the last years with the goal to become a standardized multi-domain modeling language. This paper describes a robust model for homogenous and inhomogenous two phase flows with dynamic or static slip correlation. It was developed in the context of developing a Modelica base library for thermo-hydraulic appl
System Identification for Modeling of Stock Market Index
An $H_\infty$ Centering Controller for Single-Wheel Drive Equipped Boogie
Automatisk övervakning och diagnos av pappersmaskin
Robust On-Line Estimation
In the presence if poor excitation and abrupt changes of a time-varying system the Recursive least square (RLS) with forgetting factor is not able to track the parameters in a suitable way. The purpose of this thesis is to investigate different kinds of proposals of algorithms to deal with the phenomenons arising, such as estimator windup or too slow convergence of the estimations. Attention is al