This paper presents a sliding mode control (smc) method for the bipartite containment control of multi-agent systems (MASs) under input and output quantization. First, an observer based on the super-twisting algorithm...
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Cognitive robotics and engineering strive to develop brain-robot interfaces (BRI) that enable effective collaboration between robots and humans. The continued advancements in neuroscience, robotics, and machine learni...
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ISBN:
(纸本)9798350385731;9798350385724
Cognitive robotics and engineering strive to develop brain-robot interfaces (BRI) that enable effective collaboration between robots and humans. The continued advancements in neuroscience, robotics, and machine learning are projected to broaden the scope of BRI applications, ultimately improving human-robot cooperation. A major area of focus for BRI-based system development involves mapping brain activities to control actions through motor imagery (MI) based technologies such as electroencephalogram (EEG). In this paper, a novel technique for classifying different tasks involving MI of upper limb movements from EEG signals is presented. To emphasize the inter-related information within various bands of EEG signals, ratio of band power (RBP)-based features are proposed for categorizing different upper limb-based MI tasks. The combination of these proposed features and an optimized KNN classifier produced remarkable accuracy in classifying diverse MI tasks from EEG signals. This approach was compared with recent methods applied to the same dataset, illustrating its superiority in performance. Furthermore, a comparison between the proposed RBP-based features and conventional band power-based features underscored the effectiveness of RBP-based attributes for classifying MI-related tasks. The improved effectiveness of the proposed approach could lead to progress in BRI-based systems development across a range of applications.
This study aims to provide a robust real-time Model Predictive Control (MPC) that enables machines to autonomously tune and repeat fast and accurate operations, even with changes in characteristics. This paper present...
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ISBN:
(纸本)9798350358513;9798350358520
This study aims to provide a robust real-time Model Predictive Control (MPC) that enables machines to autonomously tune and repeat fast and accurate operations, even with changes in characteristics. This paper presents the proposed method developed in this study and verifies its effectiveness through simulations. Furthermore, the proposed approach is validated in an actual system to demonstrate its practical effectiveness.
Traditional space computing relies on older, space proven hardware and software technologies with significantly lower performance compared to COTS processors. Recently a trend towards the use of Commercial-off the She...
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ISBN:
(纸本)9798350384529;9798350384512
Traditional space computing relies on older, space proven hardware and software technologies with significantly lower performance compared to COTS processors. Recently a trend towards the use of Commercial-off the Shelf (COTS) processors in New Space, raised the potential of Space Cloud solutions, in which multiple users share the satellite. These solutions rely on the same software stacks used in conventional cloud deployments, namely Linux, which is not qualifiable for space use. In this paper, we describe the solution developed in the METASAT project, which provides an alternative space cloud infrastructure, fully qualifiable for institutional missions. In addition, we provide more details on the traditional space computing as well as new space and the implementation details of cloud space solutions. We demonstrate their deficiencies on institutional missions where qualification is required, and we describe in more detail the approach followed in the Horizon Europe METASAT project, showing its benefits in terms of space qualification.
In the last decades, wind turbine systems have emerged as one of the sources of electricity, and they are further considered to be part of the renewable energy sources that produce energy with zero carbon emissions. D...
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The Petri-net-based information flow analysis offers an effective approach for detecting information leakage by the concept of non-interference. Although the related studies propose efficient solutions, they lack quan...
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In Model-Based systemsengineering (MBSE), certain model information is needed for early stage analysis such as system architecture analysis. However, often such information is not available, especially when the organ...
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ISBN:
(纸本)9798350358810;9798350358803
In Model-Based systemsengineering (MBSE), certain model information is needed for early stage analysis such as system architecture analysis. However, often such information is not available, especially when the organization's transformation to MBSE is ongoing, which is typically a long process for many large companies. There is a need for being able to perform some analysis or receive other partial benefit from MBSE, at early stages, without having to fully implement all models with high-fidelity. This paper proposes a novel partial modeling approach to support early stage analysis such as system architecture optimization. The approach includes proper dispositioning of different kinds of models and tools, uncertainty quantification using polynomial chaos expansion, and adaptable system design methods. We demonstrate it on an aircraft electrical power system to support early stage analyses that include load and terminal voltage analyses, and a sustainable electrical architecture optimization.
The tail suspension test (TST) is a widely used mouse behavioral test to evaluate the efficacy of antidepressant drugs. While the measurement of immobility, a key metric in TST, is often manually scored by a human inv...
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Real-time collaborative programming environments support a group of programmers, who are geographically distributed, to concurrently view and edit a shared set of source code in a real-time fashion. However, this emer...
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Mission engineering seeks to develop multiple Mission Threads (MT) that flexibly bring an underlying system of system (SoS) together to accomplish one or more missions. In SoS, a constituent system contributes to the ...
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ISBN:
(纸本)9798350358810;9798350358803
Mission engineering seeks to develop multiple Mission Threads (MT) that flexibly bring an underlying system of system (SoS) together to accomplish one or more missions. In SoS, a constituent system contributes to the capability of other systems, and different MT pose unique integration of SoS, thereby leading to distinct dependence between systems. Furthermore, in an operational environment, systems in SoS may face degradation in their capability due to an adversary action or natural causes which propagates through the SoS, impacting other systems. This paper seeks to address the question of selecting a MT when the constituent systems of SoS face a degradation in their operational capability. First this involves quantifying the interdependence between systems in SoS, and then investigating multiple MTs with common degraded conditions. We utilize system Operational Dependency Analysis method to quantify interdependence in the MTs and show presence of latent interactions in MTs because different MTs are uniquely impacted by the same underlying degradation in systems. The approach provides an empirical reasoning capability to select the most promising MT when systems in a SoS are not operating at their optimal capacity.
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