Searched for: subject%3A%22Network%255C+controllability%22
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Wang, Yixia (author), Lin, Shu (author), Wang, Yibing (author), De Schutter, B.H.K. (author), Xu, Jungang (author)
Currently, with the development of driving technologies, driverless vehicles gradually are becoming more and more available. Therefore, there would be a long period of time during which self-driving vehicles and human-driven vehicles coexist. However, for a mixed platoon, it is hard to control the formation due to the existence of the manual...
journal article 2023
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Wang, F. (author), Kooij, Robert (author)
Network controllability is a critical attribute of dynamic networked systems. Investigating methods to restore network controllability after network degradation is crucial for enhancing system resilience. In this study, we develop an analytical method based on degree distributions to estimate the minimum fraction of required driver nodes for...
journal article 2023
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Anderson, Daron (author), Iosifidis, G. (author), Leith, Douglas J. (author)
We consider the general problem of online convex optimization with time-varying budget constraints in the presence of predictions for the next cost and constraint functions, that arises in a plethora of network resource management problems. A novel saddle-point algorithm is designed by combining a Follow-The-Regularized-Leader iteration with...
journal article 2023
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de Albuquerque Gleizer, G. (author)
Event-triggered control (ETC) and self-triggered control (STC) are sample-and-hold control paradigms in which sensor data is only updated to the controller when necessary, often aperiodically, in contrast to the well-established periodic sampling paradigm. In ETC, a state-dependent event triggers a transmission, while in STC the controller...
doctoral thesis 2022
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Delimpaltadakis, Giannis (author)
A fundamental challenge in networked control systems is reducing the amount of communications of each system in the network, so that bandwidth and energy are used efficiently. To address the challenge, the research community has shifted its focus to Event-Triggered Control (ETC), in which communication between the control system's different...
doctoral thesis 2022
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Li, D. (author), De Schutter, B.H.K. (author)
Data-driven control without using mathematical models is a promising research direction for urban traffic control due to the massive amounts of traffic data generated every day. This article proposes a novel distributed model-free adaptive predictive control (D-MFAPC) approach for multiregion urban traffic networks. More specifically, the...
journal article 2022
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Bianchi, M. (author), Ananduta, W. (author), Grammatico, S. (author)
The distributed dual ascent is an established algorithm to solve strongly convex multi-agent optimization problems with separable cost functions, in the presence of coupling constraints. In this letter, we study its asynchronous counterpart. Specifically, we assume that each agent only relies on the outdated information received from some...
journal article 2022
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Delimpaltadakis, Giannis (author), de Albuquerque Gleizer, G. (author), Van Straalen, Ivo (author), Mazo, M. (author)
We present ETCetera, a Python library developed for the analysis and synthesis of the sampling behaviour of event triggered control (ETC) systems. In particular, the tool constructs abstractions of the sampling behaviour of given ETC systems, in the form of timed automata (TA) or finite-state transition systems (FSTSs). When the abstraction...
conference paper 2022
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Javanmardi, N. (author), Borja Rosales, L.P. (author), Yazdanpanah, M. J. (author), Scherpen, J.M.A. (author)
This paper investigates a distributed formation tracking control law for large-scale networks of mechanical systems. In particular, the formation network is represented by a directed communication graph with leaders and followers, where each agent is described as a port-Hamiltonian system with a constant mass matrix. Moreover, we adopt a...
journal article 2022
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Chen, Anqi (author)
Network recoverability refers to the ability of a network to return to a desired<br/>performance level after suffering malicious attacks or random failures. A system is controllable if it can be driven from any arbitrary state to any desired state in finite time under the control of the driver nodes, which are attached to external inputs. We use...
master thesis 2021
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van Straalen, Ivo (author)
In recent years, Networked Control Systems (NCS) have become more popular, partly because of the increasing accessibility. In NCS, multiple plants and controllers are connected over a wired or wireless shared network, possibly having significant spatial separation. A major issue that arises is network congestion: If too many control loops are...
master thesis 2021
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Sun, P. (author), Kooij, Robert (author), Van Mieghem, P.F.A. (author)
In this paper, we propose closed-form analytic approximations for the number of controllable nodes in sparse communication networks from the aspect of network controllability, considering link-based random attack, targeted attack, as well as random attack under the protection of critical links. We compare our approximations with simulation...
journal article 2021
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Li, Jingqi (author), Chen, Ximing (author), Gonçalves Melo Pequito, S.D. (author), Pappas, George J. (author), Preciado, Victor M. (author)
In this article, we study the target controllability problem of networked dynamical systems,in which we are tasked to steer a subset of network nodes toward a desired objective. More specifically, we derive necessary and sufficient conditions for the structural target controllability of linear time-invariant (LTI) systems with symmetric state...
journal article 2021
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Bianchi, M. (author), Grammatico, S. (author)
We design a distributed algorithm for learning Nash equilibria over time-varying communication networks in a partial-decision information scenario, where each agent can access its own cost function and local feasible set, but can only observe the actions of some neighbors. Our algorithm is based on projected pseudo-gradient dynamics, augmented...
journal article 2021
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Dhiman, Ashish (author), Sun, P. (author), Kooij, Robert (author)
This paper presents machine learning based approximations for the minimum number of driver nodes needed for structural controllability of networks under link-based random and targeted attacks. We compare our approximations with existing analytical approximations and show that our machine learning based approximations significantly outperform...
conference paper 2021
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Gramatikov, S.T. (author)
Cyber-attacks long have been a topic reserved for sci-fi movies and books. With the advance of internet and the globalisation of technology supply chains, as well as the growing political and economic pressure around the world, cyber warfare has become the new weapon of choice for covert state operations, but also rogue organizations. In the...
master thesis 2020
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Dhiman, Ashish Kumar (author)
Networks are all around us, telecommunication networks, road transportation networks, and the Internet are a few examples of networks that we encounter every day. The entities in a network are represented by nodes and the interconnections between them are represented by links. For example, in a telecommunication network, a node could be an end...
master thesis 2020
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de Albuquerque Gleizer, G. (author), Mazo, M. (author)
This paper addresses the problem of modeling and scheduling the transmissions generated by multiple event-triggered control (ETC) loops sharing a network. We present a method to build a finite-state similar model of the traffic generated by periodic ETC (PETC), which by construction mitigates the combinatorial explosion that is typical of...
journal article 2020
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Fabiani, F. (author), Grammatico, S. (author)
This paper considers the multi-vehicle automated driving coordination problem. We develop a distributed, hybrid decision-making framework for safe and efficient autonomous driving of selfish vehicles on multi-lane highways, where each dynamics is modeled as a mixed-logical–dynamical system. We formalize the coordination problem as a generalized...
journal article 2020
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de Albuquerque Gleizer, G. (author), Mazo, M. (author)
Self-triggered control (STC) and periodic event-triggered control (PETC) are aperiodic sampling techniques aiming at reducing control data communication when compared to periodic sampling. In both techniques, the effects of measurement noise in continuous-time systems with output feedback are unaddressed. In this work we prove that additive...
journal article 2020
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