Traditional methods for deep NLG adopt pipeline approaches comprising stages such as constructing syntactic input, predicting function words, linearizing the syntactic input and generating the surface forms. Though easier to visualize, pipeline approaches suffer from error propagation. In addition, information available across modules cannot be leveraged by all modules. We construct a transitio...

Studies have shown that feedback linearization can provide an effective controller for many types of nonlinear systems. It is known, however, that these controllers are not robust, in particular to model uncertainties as the feedback linearization process involves canceling of nonlinearities in the dynamics using an exact model which is seldom available. Although there are several strategies to...

The control system for a Doubly Fed Induction Generator (DFIG) supplied by grid-connected Current Source Converter (CSC) is presented in this paper. Nonlinear transformation of DFIG model to the multi-scalar form proposed. nonlinear strategy active and reactive power realized feedback linearization. In proposed scheme, CSI parameters are included. Two Proportional-Integral (PI) controllers dedi...

in this paper, a novel approach for control of the dc-dc buck converter in high-power and low-voltage applications is proposed. designed method is developed according to state feedback linearization based controller , which is able to stabilize output voltage in a wide range of operation. it is clear that in high-power applications, parasitic elements of the converter may become comparable with...

an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  online training of neurolinearizer is compared to model predictive recurrent training...

the present study investigated comparatively the impact of two types of input enhancement (i.e. textual vs. compound enhancement) on developing grammar ability in iranian efl setting. sixty-five female secondary high school students were selected as a homogenous sample out of about a 100-member population based on nelson language proficiency test. then, their grammar ability was measured based ...