In recent robotics achievements, several strategies have been used by control systems to integrate human behavior into robot action. In this work, the Proportional-Integral-Derivative (PID) algorithms based on Sliding...
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The development of automotive systems has become more complex due to the growing demand for sophisticated features, the necessity for smooth integration of technology, and faster production schedules, leading to numer...
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ISBN:
(纸本)9798350366266;9798350366259
The development of automotive systems has become more complex due to the growing demand for sophisticated features, the necessity for smooth integration of technology, and faster production schedules, leading to numerous challenges in their development. To tackle some of these challenges, this paper introduces a practical method designed to simplify the early design and assessment stages of complex automotive systems through the use of sophisticated systemsengineering methodologies. It details the combination of systems Modeling Language (SysML) and IBM Rational Rhapsody's Parametric Constraint Evaluator (PCE) within an improved Model-Based systemsengineering (MBSE) framework aimed at the development of complex systems. This fusion enables the virtual evaluation of parametric constraints and the analysis of engineering performance for different system configurations, thus enhancing the process of engineering analysis. We demonstrate the practicality and effectiveness of this approach using a generic automotive powertrain case study. This involves modeling a system based on specific requirements and evaluating its performance across predetermined configurations. Furthermore, the versatility of the MBSE framework is highlighted, showing its applicability beyond the automotive industry to encompass a wide range of engineering domains. This study aims to pave the way for more efficient and manageable development processes in the face of growing system complexity.
We propose a method by which to assist an operator in switching an internal model by visually presenting information about the dynamic characteristics of the destination in accordance with changes in dynamic character...
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One of the problems in imitation between humans and robotd is embodiment gap. Therefore, in this paper, we propose a system that realizes movement level imitation between humans and robots for embodiment gap. We targe...
The conditions under which companies create value are becoming increasingly complex and the requirements for resilient and sustainable production networks (R&SPN) are growing. In consequence, it is no longer suffi...
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ISBN:
(纸本)9798350365924;9798350365917
The conditions under which companies create value are becoming increasingly complex and the requirements for resilient and sustainable production networks (R&SPN) are growing. In consequence, it is no longer sufficient to focus on a focal company. A holistic view on the entire production network must be taken instead of solely focusing on the focal company's internal operations. We show that such R&SPN, which consist of different companies, fulfill the characteristics of a system of systems (SoS) and can hence be understood as such. Design patterns are a promising approach for effective engineering based on best practices. Their transfer to SoS engineering previously led to the definition of generic pattern descriptions. In this paper, we conduct a systematic literature review to propose a framework for a generic pattern description applicable to R&SPN. Here we consider the micro- (focal company) and meso- (supply chain / production network) levels and finally propose a case-based reasoning (CBR) approach to realize a pattern-based engineering of R&SPN.
This work proposes a reliable control scheme to attain the precise tracking control of multirotor unmanned aerial vehicle systems used for smart agriculture. The nonlinear mathematical model of a co-axial octorotor sy...
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Sequential Monte Carlo (smc), or particle filtering, is widely used in nonlinear state-space systems, but its performance often suffers from poorly approximated proposal and state-transition distributions. This work i...
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When using Operational Technology (OT) across critical infrastructures, including Naval installations, it is important to implement robust anomaly detection mechanisms. Using non-intrusive load monitoring (NILM) techn...
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ISBN:
(纸本)9798350375367
When using Operational Technology (OT) across critical infrastructures, including Naval installations, it is important to implement robust anomaly detection mechanisms. Using non-intrusive load monitoring (NILM) techniques and methods, this paper leverages multiple supervised machine learning models to identify faults and anomalies in operational technology power systems. We build a novel small-scale OT and sensor system to generate a NILM data set into which we introduce four distinct single point faults and anomalies. We use three supervised ML algorithms (CNN, SVM and LSTM) to facilitate detection and classification of these various anomalies. Through vigorous evaluation, our results show the potential of integrating NILM technology with ML to enhance OT security and resiliency. This research not only fills a critical gap in OT anomaly detection but also sets a precedent for future advancements in the field.
In recent years, significant progress has been made in the application of data-driven, learning-based approaches to fault detection in distributed networks. These methods are optimized for quickly detecting and identi...
The theory of criticality has been applied exploratively to the industry in recent years since complex systems in critical states often have a high degree of uncertainty. As a first step towards examining the evolutio...
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