Frequency Response Matrix (FRM) estimation from measured data is an important step towards the control of complex systems, including motion and thermal systems. Missing samples in the measured data records, e.g., due ...
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Frequency Response Matrix (FRM) estimation from measured data is an important step towards the control of complex systems, including motion and thermal systems. Missing samples in the measured data records, e.g., due to sensor failure or faulty data transmission, often occur. In this paper, a method is presented for the nonparametric FRM identification of multiple-inputs multiple-outputs (MIMO) systems from incomplete and noisy data records. The method exploits time- and frequency-domain localizing wavelets to accurately estimate the FRM and its covariance from the time-frequency plane. Good performance is demonstrated in a simulation study.
This paper analyses the bifurcation behaviour of the CUK converter operating under continuous conduction mode. Discrete-time mapping is used to analyse the bifurcation parameters operating under a closed loop with a c...
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In technical praxis the underground facility networks such as gas and water pipes or telecommunication and energetic cables are marked by special RFID markers to enable localization and identification of the network. ...
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We discuss two specific issues that affected the workflows in our career as automatic control teachers and that are related to how teachers may establish teaching-oriented collaborations with colleagues from the same ...
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Safety PLCs have become a popular device for implementing safety functions in industrial applications. Their correct use is the prerequisite for achieving the required safety integrity level (SIL). This is closely rel...
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This paper discusses the safety of mobile robots and proposes improvements by specific methods of collision avoidance, and by changes of logical architecture or the communication protocol. The proposed architecture is...
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The article presents the results of the development of two ultra-wideband traveling wave amplifiers. These monolithic microwave integrated circuits (MMICs) were developed using gallium arsenide (GaAs) pseudomorphic hi...
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In model predictive control (MPC) for hybrid systems, solving optimization problems efficiently and with guarantees on worst-case computational complexity is critical to satisfy the real-time constraints in these appl...
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This paper focuses on the research of steady-state earthing arc burning conditions in the context of influence of higher harmonic components in earth fault current. The criteria of arc burning stability and of single ...
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This research reveals the potential of Mediapipe with machine learning methods in addressing the critical need for real-time posture monitoring, offering a promising solution for creating secure work environments and ...
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