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Politecnico di Bari: [1029] Istituto

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Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 1.029
Istituto Anno di pubblicazione Titolo Autore file(s)
Politecnico di Bari 2026 Control coordination and monitoring of autonomous agents in agri–food field -
Politecnico di Bari 2026 Control and learning methods for cognitive spaceborne tracking radars -
Politecnico di Bari 2026 Development of metaheuristic optimization algorithms and AI tools for advanced design/control of industrial components -
Politecnico di Bari 2026 Modelling and design of origami inspired deployable structures for aerospace applications -
Politecnico di Bari 2026 A safety-optimal control method for virtual coupling train control -
Politecnico di Bari 2026 Control strategies for energy harvesting systems -
Politecnico di Bari 2026 Study,  design, and development of intelligent systems for automatic diagnostics support -
Politecnico di Bari 2026 Exploiting predictive capabilities in motion control for autonomous agents operating in crowded environments -
Politecnico di Bari 2026 Advanced modeling and control of complex systems -
Politecnico di Bari 2026 Dynamic input allocation in presence of periodic exogenous signals: spline-based and sensitivity functions approaches -
Politecnico di Bari 2026 From industrial process control to network security: deployable data-driven approaches for anomaly and fault detection -
Politecnico di Bari 2026 Development of sustainable antimicrobial nanomaterials for innovation in the food industry -
Politecnico di Bari 2026 Smart control systems for rural energy communities -
Politecnico di Bari 2026 Advanced modeling and control of biomedical systems with application to diabetes progression -
Politecnico di Bari 2025 Interactive mixed reality widgets for precise dexterity of tool manipulation to enhance surgical procedures in Industry 4.0 realm -
Politecnico di Bari 2026 Human centered production systems for the new space economy -
Politecnico di Bari 2026 Real-Time autonomous racing: the artificial race driver including initial contributions to shared control via the artificial race coach -
Politecnico di Bari 2025 Photonic integration for opto–acoustic and opto–thermo–elastic sensing -
Politecnico di Bari 2026 Hybrid dynamical system approaches for power converter systems and electric drives -
Politecnico di Bari 2026 A journey through the hidden representations of pretrained language models: semantics, factuality and beyond -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 1.029
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Prodotti recenti

Control coordination and monitoring of autonomous agents in agri–food field

Modern autonomous and distributed systems play an increasingly important role in applications ranging from precision agriculture to smart transportation and industrial automation. Ensuring reliable coordination, security, and fault management in such systems is a significant challenge due to practical limitations including communication delays, quantization, measurement noise, and partial observability. This thesis develops theoretical frameworks and methods to address these challenges, ...

Control and learning methods for cognitive spaceborne tracking radars

Making radio frequency remote sensing technologies fully autonomous enables the acquisition of more insightful data during emergency situations. This thesis investigates the application of control techniques and Artificial Intelligence (AI) to cognitive radars. This class of radar systems utilizes information about the surrounding environment, extracted by the receiver, as feedback to the transmitter, thereby rendering the radar a closed-loop system. Within this framework, the aforementi...

Development of metaheuristic optimization algorithms and AI tools for advanced design/control of industrial components

We are living at the dawn of a new industrial era, one where intelligence, matter, and energy intertwine. Industry 4.0 is no longer a distant vision but a living ecosystem, where machines think, systems evolve, and data becomes the language of creation. Factories are transforming into sentient environments, capable of sensing, learning, and adapting in real time. This revolution, however, brings with it extraordinary complexity. Engineering design and control now unfold within vast spaces of...

Modelling and design of origami inspired deployable structures for aerospace applications

The increasing power demand of modern spacecraft requires solar arrays that are both lightweight and highly compactable. Origami-inspired deployable structures offer an effective solution, achieving large deployed areas within limited launch volumes. However, their strongly nonlinear folding behaviour poses significant challenges for numerical modelling: full finite element analyses are accurate but computationally expensive, limiting their use in early-stage design. This PhD research, conduc...

A safety-optimal control method for virtual coupling train control

Virtual Coupling (VC) is an emerging railway signaling concept aimed at increasing line capacity and reducing train headway through Train-to-Train (T2T) communication. Instead of relying on traditional mechanical couplers, trains under VC operate at similar speeds and close spacing by exchanging real-time information via wireless networks. Although VC promises substantial improvements in eciency and flexibility, its practical implementation still faces challenges related to safety assurance, ...

Control strategies for energy harvesting systems

This thesis presents the development and evaluation of advanced control strategies for energy harvesting systems, focusing on vehicle regenerative suspensions and wave energy converters. The main goal is to design controllers that maximize energy collected from external disturbances, like road profiles or ocean waves, while adhering to physical and operational constraints. A central challenge addressed is the design of effective causal approximations for optimal control solutions, which ...

Study,  design, and development of intelligent systems for automatic diagnostics support

This doctoral research investigates the study, design, and development of intelligent systems for automatic diagnostic support across biomedical and industrial imaging. A unified methodological framework based on deep learning underlies both domains, emphasizing robustness and reliability under limited or noisy data conditions. In the biomedical domain, a generative mask-guided architecture, named CALIMAR-GAN, is developed for metal artifact reduction in computed tomography (CT). The model p...

Exploiting predictive capabilities in motion control for autonomous agents operating in crowded environments

The study of interacting entities—ranging from biological organisms to autonomous machines—offers a unifying framework for understanding the emergence of collective behavior in complex systems. Across disciplines such as physics, control theory, computer science, and the social sciences, a central challenge lies in capturing how local interactions among agents give rise to macroscopic patterns and decision dynamics. Deterministic models, while analytically tractable, often fail to account for...

Advanced modeling and control of complex systems

The latest engineering developments oriented towards the control of robotic systems encompass a diverse range of strategies and approaches in order to achieve this result. This is particularly valid for systems that show high complexity: from a single, but very complex agent (for example a humanoid robot, a multicopter drone, an industrial process, ...) to a huge number of systems, interconnected in possibly complex ways (an ecosystem, a social network, multiple robots that need coordina...

Dynamic input allocation in presence of periodic exogenous signals: spline-based and sensitivity functions approaches

Modern engineering systems are increasingly characterized by overactuation, where multiple actuators influence the same output variable. This redundancy offers opportunities for performance enhancement, robustness, and fault tolerance, yet it also poses the fundamental challenge of allocating actuator effort in a manner that improves efficiency without degrading closed-loop behavior. This thesis develops and analyzes novel strategies for Dynamic Control Allocation (DCA) in systems with in...

Scopri
Istituto
  • Politecnico di Bari1024
Data di pubblicazione
  • 2020 - 2026409
  • 2010 - 2019281
  • 2000 - 2009245
  • 1992 - 199993
Settore disciplinare
  • Settore ING-INF/05 - Sistemi di E...46
  • Settore ICAR/14 - Composizione Ar...42
  • Settore ING-IND/35 - Ingegneria E...40
  • Settore ING-INF/01 - Elettronica39
  • Settore ICAR/02 - Costruzioni Idr...37
  • Settore ING-INF/03 - Telecomunica...34
  • Settore ICAR/09 - Tecnica delle C...33
  • Settore ICAR/10 - Architettura Te...33
  • Settore ING-IND/14 - Progettazion...33
  • Settore ING-IND/08 - Macchine a F...31
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