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Din sökning på "amedeo roberto esposito phd thesis document pdf" gav 9384 sökträffar

Design of Low-Order Controllers using Optimization Techniques

In many applications, especially in the process industry, low-level controllers are the workhorses of the automated production lines. The aim of this study has been to provide simple tuning procedures, either optimization-based methods or tuning rules, for design of low-order controllers. The first part of this thesis deals with PID tuning. Design methods or both SISO and MIMO PID controllers bas

Physical Modeling and Control of Low Temperature Combustion in Engines

Popular Abstract in Swedish Fysikalisk modellering och reglering av motorer En stor del av dagens forskning inom förbränningsmotorer är inriktad på att minska bränsleförbrukning och emissioner, utsläpp. De traditionella bensinmotorerna har förhållandevis låga emissionsnivåer medan dieselmotorerna har en lägre bränsleförbrukning. De förbränningskoncept som studeras i avhandlingen Physical ModelingThe topic of this thesis is model-based control of two combustion engine concepts, Homogeneous Charge Compression Ignition (HCCI) and Partially Premixed Combustion (PPC), using physics-based models. The studied combustion concepts hold promise of reducing the emission levels and fuel consumption of internal combustion engines. A cycle-to-cycle model of HCCI, including heat losses to the cylinder

Low-Rank Distributed Control with Application to Wind Energy

This thesis addresses three different topics in wind power plant operation. Most of the research is focused on controlling a wind farm that is required to meet a power set-point. In this mode of operation, the wind turbines are able to vary their power production as long as the total power demand is met. The research investigates how this freedom can be used in order to reduce the fatigue loads e

Machine Learning and System Identification for Estimation in Physical Systems

In this thesis, we draw inspiration from both classical system identification and modern machine learning in order to solve estimation problems for real-world, physical systems. The main approach to estimation and learning adopted is optimization based. Concepts such as regularization will be utilized for encoding of prior knowledge and basis-function expansions will be used to add nonlinear model

On Automation in Anesthesia

The thesis discusses closed-loop control of the hypnotic and the analgesic components of anesthesia. The objective of the work has been to develop a system which independently controls the intravenous infusion rates of the hypnotic drug propofol and analgesic drug remifentanil. The system is designed to track a reference hypnotic depth level, while maintaining adequate analgesia. This is complicat

On Robotic Assembly using Contact Force Control and Estimation

Force sensing provides robots the capability to accomplish tasks where physical interaction with the environment is required, such as assembly. Small position uncertainties can then be corrected for by sensing the contact forces. This thesis considers the problem of force-controlled assembly, including how tasks can be specified in a simple and intuitive way and how robust task execution under unc

Topics in Machining with Industrial Robot Manipulators and Optimal Motion Control

Two main topics are considered in this thesis: Machining with industrial robot manipulators and optimal motion control of robots and vehicles. The motivation for research on the first subject is the need for flexible and accurate production processes employing industrial robots as their main component. The challenge to overcome here is to achieve high-accuracy machining solutions, in spite of the

On Modeling and Nonlinear Model Reduction in Automotive Systems

The current control design development process in automotive industry and elsewhere involves many expensive experiments and hand-tuning of control parameters. Model based control design is a promising approach to reduce costs and development time. In this process low complexity models are essential and model reduction methods are very useful tools. This thesis combines the areas of modeling and mo

PhD Seminar: Tolibjon Mustafoev's final seminar

2 december 2026 13:15 till 16:00 | Seminarium PhD candidates at the Sociology of Law Department hold three seminars during their studies: a start-up seminar, a mid-seminar, and a final seminar. Participation in seminars is essential for doctoral students to achieve their learning outcomes. The seminars are always in English. There is a prevalent view within academic and policy circles that the law

https://www.soclaw.lu.se/evenemang/phd-seminar-tolibjon-mustafoevs-final-seminar - 2026-06-05

Adaptation and Learning for Manipulators and Machining

This thesis presents methods for improving the accuracy and efficiency of tasks performed using different kinds of industrial manipulators, with a focus on the application of machining. Industrial robots offer a flexible and cost-efficient alternative to machine tools for machining, but cannot achieve as high accuracy out of the box. This is mainly caused by non-ideal properties in the robot joint