A new iterative learning controller is proposed for a general unknown discrete time-varying nonlinear non-affine system represented by NARMAX (Nonlinear Autoregressive Moving Average with eXogenous inputs) model. The proposed controller is composed of an iterative learning neural identifier and an iterative learning controller. Iterative learning control and iterative learning identification ar...

Distance bounding protocols can be employed in mutual entity authentication schemes to determine an upper bound on the distance to another entity. As these protocols are conducted over noisy wireless adhoc channels, they should be designed to cope well with substantial bit error rates during the rapid single bit exchanges. This paper investigates the robustness to high bit error rates of two im...

BACKGROUND The aviation industry uses crew resource management (CRM) to address the human aspect of error. Dentistry can incorporate these concepts to reduce dental error. The authors provide a checklist to help clinicians mitigate error. METHODS Health care systems have begun to focus on medical error. During the past 30 years, the airline industry has developed mitigation strategies that ar...

Non-native speakers of English far outnumber native speakers; English is the main language of books, newspapers, airports, air-traffic control, international business, academic conferences, science, technology, diplomacy, sports, international competitions, pop music, and advertising (British Council 2014). Online education in the form of massive online open courses is also primarily in English...

A Prediction-error-method tailored for model based predictive control is presented. The prediction-error method studied are based on predictions using the Kalman filter and Kalman predictors for a linear discrete-time stochastic state space model. The linear discrete-time stochastic state space model is realized from a continuous-discrete-time linear stochastic system specified using transfer f...

Human error is a significant contributor to product failure. However, it is uncommon for designers to explicitly consider the potential for human error in the design of products. In this chapter, it is proposed that ‘human error’ arises as a consequence of the interaction between user and product, and that modeling this interaction can allow insight into possible error paths. Using a simple rep...

This paper presents error patterns built on the basis of our comparative analysis of American English and Mexican Spanish phonemes and allophones which can be applied in designing the error detection module of a Computer Assisted Pronunciation Training (CAPT) System for teaching American English pronunciation to Mexican Spanish speakers. Error identification is important for an adequate choice ...

Identification for robust control must deliver not only a nominal model, but also a reliable estimate of the uncertainty associated with the model. This paper addresses recent approaches to robust identification, that aim at dealing with contributions from the two main uncertainty sources: unmodeled dynamics and noise affecting the data. In particular, the following methods are considered: non-...