piecewise linear functionbacklashThe paper deals with the parameter identification of cascade nonlinear dynamic systems with noninvertible piecewise linear input nonlinearities and backlash output nonlinearities. Application of the key term separation principle provides special expressions for the corresponding ...
lb=driving.internal.piecewiseLinearBoundary([0-1;3-1;10-1]);xWorld=3:10;yWorld=computeBoundaryModel(lb,xWorld);% xWorld maps to y-axis of plot, reverse the plot inputsplot(yWorld,xWorld)axisequal% yWorld, which goes along the X axis of the plot% increases from right to leftset(...
piecewise{10 -> 100;20 -> 200;40} ship[o][d]; The last piecewise-linear function has a fixed number of pieces, but OPL also allows generic pieces. The number of pieces may then depend on the input data, as in piecewise(i in 1..n) { slope[i] -> breakpoint[i]; slope[n+1]...
Piecewise-linear approximation of non-linear models based on probabilistically/possibilistically interpreted intervals' numbers (INs) S.E., Kaburlasos, V.G.: Piecewise-linear approximation of nonlinear models based on probabilistically/possibilistically interpreted intervals’ numbers (INs)... SE Papadakis...
template<class RealType = double> class piecewise_linear_distribution { public: // types typedef RealType result_type; struct param_type; // constructor and reset functions piecewise_linear_distribution(); template<class InputIteratorI, class InputIteratorW> piecewise_linear_distribution(InputIteratorI...
PIECEWISE-LINEAR, NON-UNIFORM ADC 优质文献 相似文献 参考文献 引证文献A Widely Reconfigurable Piecewise-Linear ADC for Information-Aware Quantization A two-step SAR ADC with a highly programmable transfer function is presented, extending the application domain of non-linear conversion from signal-specifi...
Timed Continuous Petri Net (TCPN) systems are piecewise linear models with input constraints that can approximate the dynamical behavior of a class of timed discrete event systems. This paper concentrates in the development of a control structure for TCPN that transfers the system from the initial...
Based on the likelihood maximization criterion, an HMM that best matches an input noisy speech is selected and further adapted using linear transformation. The proposed method is evaluated by its ability to recognize noisy broadcast-news speech. It is confirmed that the proposed method is effective ...
As a powerful modelling method, piecewise linear neural networks (PWLNNs) have proven successful in various fields, most recently in deep learning. To apply PWLNN methods, both the representation and the learning have long been studied. In 1977, the cano
A piecewise linear function is represented in terms of a set of linear functions through the use of the maximum and minimum functions. A procedure for finding piecewise linear discriminant functions for pattern recognition is described. The procedure iteratively uses the accelerated relaxation method to...