Tag: control
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Optimality assessment of an NMPC-based GLOSA system
Introduction The assessment of solution optimality is a crucial aspect in the design of real-time control strategies for intelligent transportation systems. In the context of Green Light Optimal Speed Advisory (GLOSA), Nonlinear Model Predictive Control (NMPC) is widely adopted due to its ability to handle system constraints and nonlinear vehicle dynamics while operating in real
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Development of a centralized eco-driving system
Introduction Centralized eco-driving systems exploit vehicle-to-infrastructure (V2I) communication to coordinate vehicle speed profiles based on traffic signal and network information. By enabling predictive and cooperative driving, it reduces energy consumption, emissions, and travel time, while improving traffic flow efficiency and driving comfort. Goals This thesis proposes the development of a smart traffic light control system
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ADS Safety, Monitoring and Reporting Topics in collaboration with JRC (Ispra)
Introduction The Joint Research Centre (JRC) is the European Commission’s science and knowledge service, providing independent scientific advice and evidence to support EU policymaking. JRC in Ispra (Italy), is one of the European Commission’s major research campuses.This thesis “umbrella” collects potential topics inspired by those lectures, with a focus on safety-oriented analysis for Automated Driving
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Local wind speed estimation from rotor loads
Understanding wind conditions is crucial to optimize energy yield, minimize fatigue loading, and improve the power output quality of wind turbines and farms. This thesis aims to turn the rotor of a wind turbine into a sensor by devising a technique for estimating wind speed using measurements of rotor loads. Specific objectives of this thesis
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Real-time thermal diffusion models for the ITER plasma-facing components (paid internship)
General Introduction on nuclear fusion (reading is strongly advised!) ITER (International Thermonuclear Experimental Reactor) is the world’s largest fusion experiment, currently under construction in Cadarache, France. It aims to demonstrate the feasibility of nuclear fusion as a large-scale, carbon-free energy source by producing ten times more energy than it consumes. Ensuring the structural integrity of
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SSM-enhanced Control-Based Continuation (CBC)
In this project we aim to experimentally determine the backbone and the frequency response of a system using Control Based Continuation. CBC consists, loosely speaking, in creating a phase controller (PLL, Phase-Locked Loop) to lock a system at resonance (90°) and then extract the backbone by increasing the forcing with continuation algorithms, typical of numerical
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A robotic walking assistant for older adults in long-term care
Assistance and monitoring during elders’ daily walk is something that stakeholders expect from an assistive robot. Though cart-like walkers represent a possible solution, they are limited in versatility. Contrarily, a humanoid walking assistant has the potentiality to accomplish many other tasks and to engage in social interactions, extending the caregivers’ activity. The student will develop
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Development and optimization of stepping algorithm and motion control for piezoelectric walking drives
General Introduction on nuclear fusion (reading is strongly advised!) Piezoelectric walking drives are used in the DTT ECRH launcher to drive the steering mirror. These systems include a set of piezoelectric stack actuators that produce a walking motion on a slider, thus moving it longitudinally. The actuators are currently controlled by a proprietary board. However,
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Haptically controlled robots for remote handling of nuclear waste in hot cells
This thesis focuses on the development of a remotely controlled robotic system for use in hot cells, shielded environments designed for handling radioactive materials. Due to the presence of high radiation, operations inside hot cells are performed using remote handling systems. These typically involve mechanical tele-manipulators, which work on the principle of “mirroring” the operator’s
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Agents for Competitive Multi-Agent Autonomous Vehicle Racing: Learning-based vs Model-base
High-speed, multi-agent autonomous vehicle racing demands agents that can make split-second decisions while strategically interacting with unpredictable opponents. This thesis will develop a learning-based racing agent and a model-based one both capable of long-term reasoning, balancing raw speed with tactical maneuvers, and benchmark their performance under head-to-head competition. Requirements and tools Contacts: Michael Khayyat, Stefano