Zobrazeno 1 - 10
of 1 856
pro vyhledávání: '"A Makridis"'
Advancements in computer science, artificial intelligence, and control systems of the recent have catalyzed the emergence of cybernetic societies, where algorithms play a significant role in decision-making processes affecting the daily life of human
Externí odkaz:
http://arxiv.org/abs/2411.13184
Autor:
Makridis, Evagoras, Grammenos, Andreas, Oliva, Gabriele, Kalyvianaki, Evangelia, Hadjicostis, Christoforos N., Charalambous, Themistoklis
In this paper, we address the distributed average consensus problem over directed networks in open multi-agent systems (OMAS), where the stability of the network is disrupted by frequent agent arrivals and departures, leading to a time-varying averag
Externí odkaz:
http://arxiv.org/abs/2409.08634
Traffic engineering aims to control infrastructure and population behavior to achieve optimal usage of road networks. Fairness is fundamental to stimulate cooperation in large populations, and plays an important role in traffic engineering, as it inc
Externí odkaz:
http://arxiv.org/abs/2408.01309
In the diverse world of AI-driven storytelling, there is a unique opportunity to engage young audiences with customized, and personalized narratives. This paper introduces FairyLandAI an innovative Large Language Model (LLM) developed through OpenAI'
Externí odkaz:
http://arxiv.org/abs/2407.09467
City road infrastructure is a public good, and over-consumption by self-interested, rational individuals leads to traffic jams. Congestion pricing is effective in reducing demand to sustainable levels, but also controversial, as it introduces equity
Externí odkaz:
http://arxiv.org/abs/2407.05132
Monetary markets serve as established resource allocation mechanisms, typically achieving efficient solutions with limited information. However, they are susceptible to market failures, particularly under the presence of public goods, externalities,
Externí odkaz:
http://arxiv.org/abs/2406.14728
The UAE aviation sector is vital for its economy and is forecast to grow substantially in the coming decades, increasing thereby fuel consumption. At the same time, the country is committed to cutting greenhouse gas emissions to mitigate climate chan
Externí odkaz:
http://arxiv.org/abs/2404.15393
Autor:
Fioravanti, Camilla, Makridis, Evagoras, Oliva, Gabriele, Vrakopoulou, Maria, Charalambous, Themistoklis
This paper considers a strongly connected network of agents, each capable of partially observing and controlling a discrete-time linear time-invariant (LTI) system that is jointly observable and controllable. Additionally, agents collaborate to achie
Externí odkaz:
http://arxiv.org/abs/2402.17466
Automated vehicle technologies offer a promising avenue for enhancing traffic efficiency, safety, and energy consumption. Among these, Adaptive Cruise Control (ACC) systems stand out as a prevalent form of automation on today's roads, with their time
Externí odkaz:
http://arxiv.org/abs/2402.14110
Antifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning
Autor:
Sun, Linghang, Makridis, Michail A., Genser, Alexander, Axenie, Cristian, Grossi, Margherita, Kouvelas, Anastasios
The optimal operation of transportation networks is often susceptible to unexpected disruptions, such as traffic incidents and social events. Many established control strategies rely on mathematical models that struggle to cope with real-world uncert
Externí odkaz:
http://arxiv.org/abs/2402.12665