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Data-driven control of complex networks [PDF]
Nature Communications, 2021 Controlling the behavior of a complex network usually requires a knowledge of the network dynamics. Baggio et al. propose a data-driven framework to control a complex dynamical network, effective for non-complete or random datasets, which is of relevance
Giacomo Baggio +2 more
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Data-driven control via Petersen's lemma [PDF]
Automatica, 2021 We address the problem of designing a stabilizing closed-loop control law directly from input and state measurements collected in an open-loop experiment. In the presence of noise in data, we have that a set of dynamics could have generated the collected
A. Bisoffi, C. D. Persis, P. Tesi
semanticscholar +7 more sources
A New Data-Driven Control System for MEMSs Gyroscopes: Dynamics Estimation by Type-3 Fuzzy Systems. [PDF]
Micromachines (Basel), 2021 In this study, a novel data-driven control scheme is presented for MEMS gyroscopes (MEMS-Gs). The uncertainties are tackled by suggested type-3 fuzzy system with non-singleton fuzzification (NT3FS). Besides the dynamics uncertainties, the suggested NT3FS
Alattas KA +5 more
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Distributed Data-Driven Control of Network Systems
IEEE Open Journal of Control Systems, 2023 Imperfect models lead to imperfect controllers and deriving accurate models from first principles or system identification is especially challenging in networked systems.
Federico Celi +2 more
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Online Convex Optimization for Data-Driven Control of Dynamical Systems [PDF]
IEEE Open Journal of Control Systems, 2022 We propose an algorithm based on online convex optimization for controlling discrete-time linear dynamical systems. The algorithm is data-driven, i.e., does not require a model of the system, and is able to handle a priori unknown and time-varying cost ...
Marko Nonhoff, M. A. Muller
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Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey [PDF]
Annual Reviews in Control, 2023 This survey presents recent research on determining control-theoretic properties and designing controllers with rigorous guarantees and for nonlinear systems for which no mathematical models but measured trajectories are available.
Tim Martin +2 more
semanticscholar +1 more source
Data-Driven Control of Distributed Event-Triggered Network Systems [PDF]
IEEE/CAA Journal of Automatica Sinica, 2022 The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a.k.a. network systems). To this end, we start by putting forth a novel distributed event-triggering transmission strategy based ...
Xin Wang +4 more
semanticscholar +1 more source
Robust data-driven control for nonlinear systems using the Koopman operator [PDF]
IFAC-PapersOnLine, 2023 Data-driven analysis and control of dynamical systems have gained a lot of interest in recent years. While the class of linear systems is well studied, theoretical results for nonlinear systems are still rare.
Robin Strässer +2 more
semanticscholar +1 more source
Detecting the overfilled status of domestic and commercial bins using computer vision
Intelligent Systems with Applications, 2023 As the amount of waste being produced globally is increasing, there is a need for more efficient waste management solutions to accommodate this expansion. The first step in waste management is the collection of bins or containers.
Cathaoir Agnew +8 more
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Sensors, 2023 Freezing of gait (FoG) is a disabling clinical phenomenon of Parkinson’s disease (PD) characterized by the inability to move the feet forward despite the intention to walk. It is one of the most troublesome symptoms of PD, leading to an increased risk of
Luigi Borzì +2 more
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