Results 41 to 50 of about 20,962,099 (218)
A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking [PDF]
IEEE Transactions on Systems, Man & Cybernetics. Systems, 2018 Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the “fire front” to chart the progress of the fire and areas that will likely spread next. Lack of information of the fire front causes many accidents.
H. Pham +3 more
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Entropy, 2022 The excellent thermophysical properties of supercritical CO2 (sCO2) close to the pseudocritical point make it possible to replace water as the coolant of microchannels in application of a high heat flux radiator.
Yi Tu, Yu Zeng
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The canonical controller for distributed systems [PDF]
Multidimensional Systems and Signal Processing, 2020 This paper generalises results of Willems-Trentelman, and van der Schaft, on achievable behaviours, to the case of linear distributed systems defined by partial differential or difference equations. It shows that the `minimal' controller which achieves a particular subsystem is the canonical controller of van der Schaft, thereby answering the `open ...
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Entropy, 2020 The paper examines the ability of neural networks to classify Internet traffic data in terms of self-similarity expressed by the Hurst exponent. Fractional Gaussian noise is used for the generation of synthetic data for modeling the genuine ones.
Katarzyna Filus +4 more
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Experimental temperature evaluation during a robotized bone drilling process
Biotechnology & Biotechnological Equipment, 2023 A serious problem associated with orthopedic bone drilling manipulation is the so-called thermal osteonecrosis (TO). This problem occurs because the drilling manipulation generates heat, and the amount of heat depends on the drilling conditions.
Tony Boiadjiev +4 more
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Distributional Synthetic Controls
Econometrica, 2023 The method of synthetic controls is a fundamental tool for evaluating causal effects of policy changes in settings with observational data. In many settings where it is applicable, researchers want to identify causal effects of policy changes on a treated unit at an aggregate level while having access to data at a finer granularity.
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Controlling Task Distribution in MONEE [PDF]
Advances in Artificial Life, ECAL 2013, 2013 The MONEE framework endows collective adaptive robotic systems with the ability to combine environment-and taskdriven selection pressures: it enables distributed online algorithms for learning behaviours that ensure both survival and accomplishment of user-defined tasks. This paper explores the trade-off that must be reached between these two (possibly
Haasdijk, Evert, Bredeche, Nicolas
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AxiomsThis paper deals with a discrete-time observer-based state feedback control design by taking into consideration bounded parameter uncertainty, actuator faults, and stochastic noise in an inner control loop which is extended in a cascaded manner by outer ...
Oussama Benzinane, Andreas Rauh
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Distributed State Estimation Based Distributed Model Predictive Control
Mathematics, 2021 In this work, we consider output-feedback distributed model predictive control (DMPC) based on distributed state estimation with bounded process disturbances and output measurement noise. Specifically, a state estimation scheme based on observer-enhanced
Jing Zeng, Jinfeng Liu
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