Incentive Mechanisms for Community Sensing

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This study addresses the critical need for sustainable architectural designs within the context of climate change and the significant role the built environment plays in greenhouse gas emissions. The focus of this paper is on understanding the influence of ...

The dynamic landscape of sustainable smart cities is witnessing a signi ficant transformation due to the integration of emerging computational technologies and innovative models. These advancements are reshaping data -driven planning strategies, practices, ...

Static and mobile sensor nodes can be employed in gas monitoring tasks to detect gas leaks in an early stage and localize gas sources. Due to the intermittent nature of gas plumes and the slow dynamics of commonly used gas sensors, measuring gas concentrat ...

This thesis presents the development, construction, and benchmark of an experimental platform that combines cold fermionic 6Li atoms with locally controllable light-matter interactions. To enable local control, a new device, the cavity-microscope, was crea ...

Beliefs inform the behaviour of forward-thinking agents in complex environments. Recently, sequential Bayesian inference has emerged as a mechanism to study belief formation among agents adapting to dynamical conditions. However, we lack critical theory to ...

Modular robotics link the reliability of a centralised system with the adaptivity of a decentralised system. It is difficult for a robot with a fixed shape to be able to perform many different types of tasks. As the task space grows, the number of functi ...

This paper introduces a novel method for data-driven robust control of nonlinear systems based on the Koopman operator, utilizing Integral Quadratic Constraints (IQCs). The Koopman operator theory facilitates the linear representation of nonlinear system d ...

In control system networks, reconfiguration of the controller when agents are leaving or joining the network is still an open challenge, in particular when operation constraints that depend on each agent's behavior must be met. Drawing our motivation from ...

Dynamical System (DS)-based closed-loop control is a simple and effective way to generate reactive motion policies that well generalize to the robotic workspace, while retaining stability guarantees. Lately the formalism has been expanded in order to handl ...

With global environmental change and quality of life issues at the forefront of international discussions today, urban development strategies and policies are often framed around various sustainability or liveability goals. Regardless of the sustainability ...

The progress towards intelligent systems and digitalization relies heavily on the use of automation technology. However, the growing diversity of control objects presents significant challenges for traditional control approaches, as they are highly depende ...

Machine learning is often cited as a new paradigm in control theory, but is also often viewed as empirical and less intuitive for students than classical model-based methods. This is particularly the case for reinforcement learning, an approach that does n ...

The ability to control high-voltage actuator arrays relies, to date, on expensive microelectronic processes or on individual wiring of each actuator to a single off-chip high-voltage switch. Here we present an alternative approach that uses on-chip photoco ...

Heating, Ventilation, and Air Conditioning (HVAC) Systems utilize much energy, accounting for 40% of total building energy use. The temperatures in buildings are commonly held within narrow limits, leading to higher energy use. Measurements from office bui ...

Linear-Quadratic-Gaussian (LQG) control is a fundamental control paradigm that is studied in various fields such as engineering, computer science, economics, and neuroscience. It involves controlling a system with linear dynamics and imperfect observations ...

Sustainability and ethical topics can be embedded and assessed in existing technical courses within an engineering curriculum. This article describes how we integrated a reflection on the importance of ethical and environmental aspects of connected objects ...

Measuring the size of cellulose nanomaterials can be challenging, especially in the case of branched and entangled cellulose nanofibrils (CNFs). The International Organization for Standardization, Technical Committee 6, Task Group 1-Cellulosic Nanomaterial ...

Traditional competitive markets do not account for negative externalities; indirect costs that some participants impose on others, such as the cost of over-appropriating a common-pool resource (which diminishes future stock, and thus harvest, for everyone) ...

In engineering, oscillatory instabilities and resonances are often considered undesirable flow features and measures are taken to avoid them. This may include avoiding certain parametric regions or implementing control and mitigation strategies. However, t ...

This report assumes that something can be done to guide technology developers and others towards producing technology that does not cause indirect and delayed damage to the environment. It explores the extent to which environmental sustainability concerns ...

Incentive Mechanisms for Community Sensing

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Embodied Carbon Premium for Cantilevers

The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review

Design and Evaluation of Modular Gas and Wind Sensing Nodes for Static and Mobile Deployments

A Cavity-Microscope for Quantum Simulations with Locally-Controllable All-to-All Interactions

Stochastic pairwise preference convergence in Bayesian agents

Memento Mori: Reliable robustness in self-reconfigurable modular robots

Koopman-based Data-driven Robust Control of Nonlinear Systems Using Integral Quadratic Constraints

Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology

Hybrid Quadratic Programming - Pullback Bundle Dynamical Systems Control

Urban sustainability assessment through spatial lenses: turning the spotlight on the local neighbourhood unit

Data-driven Methods for Control: from Linear to Lifting

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Dynamic control of high-voltage actuator arrays by light-pattern projection on photoconductive switches

DIET Controller: Dynamic Indoor Environment using Deep Reinforcement Learning

Distributionally Robust Linear Quadratic Control

A WAY TO GET STUDENTS TO CONSIDER ETHICS AND SUSTAINABILITY IN IOT PROJECTS

Setting priorities in CNF particle size measurement: What is needed vs. what is feasible

AI-driven Prices for Externalities and Sustainability in Production Markets

Self-sustained dynamics and forced resonant oscillations in flows: cross-junction jets and sloshing liquids

IRGC (2022) Ensuring the environmental sustainability of emerging technologies - 1. Workshop report