this study set out to investigate the distribution of the syntactic properties associatedwith the prodrop parameter by persian-speaking l2 learners of english in an attemptto examine the (un)attainability of native-like knowledge and (in)accessibility of ugin adult sla. to do so, 92 participants were assigned into different levels of l2knowledge based on their performances on the oxford placeme...

It is proved that the transient performance of nonlinear adaptive backstepping can be improved by resetting the parameter estimator, without loss of stability. The estimator resetting algorithm is based on multiple model adaptive control, where a number of models with xed parameter vectors are monitored online in order to detect parameter vectors that gives a negative jump in the control Lyapun...

The theory of phase resetting can reveal important information about the dynamic behavior of a periodic system when a single brief stimulus is applied to that system at the appropriate time. Phase resetting studies have revealed the existence in some biological systems of a vulnerable stimulus window generating desynchronization and suppression of the activity. The objective of this study was t...

A continuous time neural network built with nonlinear amplifiers which selects the largest item of a list is considered. The network receives and processes lists admitted one by one. If the processing and resetting times are imposed, our paper gives a method to find the circuit parameters assuring a correct operation. We take into account the capacitive coupling between input terminals and pres...

This paper presents a new fault tolerant control scheme for unknown multivariable stochastic systems by modifying the conventional state-space self-tuning control approach. For the detection of faults, a quantitative criterion is developed by comparing the innovation process errors occurring in the Kalman filter estimation algorithm, which, for faulty system recovery, a weighting matrix resetti...

We consider multi-variable continuous-time linear stochastic systems given in innovation form, with system matrices depending on an unknown parameter that is locally identifiable. A computable continuous-time recursive maximum likelihood (RML) method with resetting has been proposed in our ECC 09 paper. Resetting takes place if the estimator process hits the boundary of a pre-specified compact ...

Abstract We revisit the statistics of extremes and records symmetric random walks with stochastic resetting, extending earlier studies in several directions. put forward a diffusive scaling regime (symmetric step length distribution finite variance, weak resetting probability) where maximum walk number its up to discrete time n become asymptotically proportional each other for single typical tr...

Abstract We review recent work on systems with multiple interacting-particles having the dynamical feature of stochastic resetting. The interplay time scales related to inter-particle interactions and resetting leads a rich behaviour, both static dynamic. presence particles also opens up new possibility for dynamics itself, namely, that different all together (global resetting) or independently...

We consider the problem of diffusion with stochastic resetting in a population random walks where coefficient is not constant, but behaves as power-law average rate population. Resetting occurs only beyond threshold distance from origin. This motivated by physical realizations like soft matter under shear, walk induced events other walks. first reformulate broader context so-called H\'ebraud-Le...

The practice of resetting strike prices on underwater executive stock options has drawn criticism for weakening managerial incentives. Our model shows that although the anticipation of resetting can negatively a!ect initial incentives, resetting can still be an important, value-enhancing aspect of compensation contracts, even from an ex-ante standpoint. In fact, we "nd that some resetting is al...