2001
DOI: 10.1109/41.915415
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PECS-an efficient solution for simulating switched networks with nonlinear elements

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Cited by 12 publications
(4 citation statements)
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References 30 publications
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“…These researches focus the control on the suppression of load swing, but did not solve the problem of position error at the end of crane motion [15]. Some fuzzy-based methods [15][16][17][18][19] were also proposed to control the crane. Unfortunately, such fuzzy controllers cannot provide the desired performance for the crane system, due to the uncertainty and large disturbances of the fuzzy system, reducing the working efficiency.…”
Section: Introductionmentioning
confidence: 98%
“…These researches focus the control on the suppression of load swing, but did not solve the problem of position error at the end of crane motion [15]. Some fuzzy-based methods [15][16][17][18][19] were also proposed to control the crane. Unfortunately, such fuzzy controllers cannot provide the desired performance for the crane system, due to the uncertainty and large disturbances of the fuzzy system, reducing the working efficiency.…”
Section: Introductionmentioning
confidence: 98%
“…This method is used because it converges fast and is suitable for matrix state-space system's representation [4].…”
Section: Internal Switchingmentioning
confidence: 99%
“…Piecewise-linear simulators [4] assume a switching converter with its linearized model for each state of the switch, being on or off. However, not every type of switching is possible in circuits and the operation state (mode) of the converter cannot be easily checked.…”
Section: Introductionmentioning
confidence: 99%
“…The convergence problems occur in Newton Raphson iteration over nonlinearity [2], and they frequently follow simulations in power electronics since the essentially discontinuous waveforms encountered there cause the initial guess for the Newton-Raphson iteration to be poor in the vicinity of switching transitions. To overcome some of the problems mentioned, special simulation techniques for power electronic circuits have been developed [3,4]. The methods are primarily based on piecewise linear device models, and avoid iteration over nonlinearity.…”
Section: Introductionmentioning
confidence: 99%