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Search results for: nonlinear systems
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Year: 2012, Volume: 12, Number: 2
... It had been designed for Step 6: The evolutionary process is repeated iteratively solving nonlinear problems and can be used for finding (from step 3 to step 5 ... Volume 12, Number 2, 2012 the International Conference on Control, Automation and Systems, [21] N. Pillay, and P. Govender, A ...
Year: 2013, Volume: 13, Number: 1
... the accurate and fast tracking of the Due to the inevitable and increasing use of nonlinear reference currents, attention is directed to the control loops loads in both industrial ... factor and current total harmonic distortion, conditioning, power system control, real time systems. consists in the control of the supply current shape through the admittances of ...
Year: 2016, Volume: 16, Number: 4
... , total body water estimation [8 ], etc. and analysis. Complex nonlinear least squares (CNLS) data Structure of the models of biological tissues depends ... more suitable for low-cost microcontroller-based bioimpedance However, model of complex tissues with individual measurement systems. The obtained results are promising, and viscoelastic cells and Cole model are ...
Year: 2011, Volume: 11, Number: 2
... ]  R is the state vector, T n data and then design a nonlinear controller using the estimated states of these neural networks. Learning methods y ( ... networks serve as content-addressable memory by existing numerical algorithms [12, 13]. systems with binary threshold units. In recent years, This paper is organized as ...
Year: 2020, Volume: 20, Number: 2
... results than others. linear [9]. To overcome this disadvantage, various nonlinear Sobreiro et al. have developed a prediction model for the models such as ... of the next purchase time in e-commerce developed model has been trained over 900000 sequences systems. Comparative experimental studies have been and tested using 311361 sequences. As a ...
Year: 2015, Volume: 15, Number: 1
... to its doubly salient pole structure [2 ], it has highly the magnetic nonlinear characteristics. Section III discusses nonlinear magnetic characteristics and thus is difficult to the ... the magnetic characteristics of an 8/6 switched reluctance machine: Electronics and Drive Systems (PEDS), 2003, pp. 1599-1604. from FEM analysis to ...
Year: 2022, Volume: 22, Number: 2
... in Electrical and Computer Engineering Volume 22, Number 2, 2022 up to the nonlinear and linear characteristics of wind speed to build a deterministic predictive model. Meanwhile ... data," Electric deep learning methods for short-term wind speed forecasting," Power Systems Research, 2019, 172: 193-200. Energy, 2021, 217: ...
128. Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
Year: 2020, Volume: 20, Number: 2
... machine algorithms. These supervision. algorithms were compared with each other using machine Numerous nonlinear modeling approaches are available in learning performance parameters. Accuracy, recall, precision ... medicine. Methods that and F-score values are calculated and compared. successfully model nonlinear systems such as multivariate Consequently, support vector machine is determined as the polynomial regression ...
Year: 2023, Volume: 23, Number: 3
... , and S. using a HMM-guided segmentation," in Proc. ITRW on Nonlinear P. Raju, "Data augmentation model for audio signal extraction," ... , Belgrade, Serbia jovan.galic@etf.unibl.org Abstract — Automatic Speech Recognition (ASR) systems are enhance the generalization and robustness of ASR systems, notorious for their poor ...
Year: 2022, Volume: 22, Number: 1
... with imprecise perturbation step, the algorithm will react quickly to inputs and can handle nonlinearity [23]. changes, but at the cost of significant deviations in ... obtaining the maximum output power while simultaneously increasing operational lifetime Index Terms — battery management systems, fuzzy logic, of PV systems [6]. Based on these ...
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