A new technique for the remote guidance of fast mobile robots has been developed and implemented. With this method, the mobile robot follows the general direction prescribed by an operator. However, if the robot encounters an obstacle, it autonomously avoids collision with that obstacle while trying to match the prescribed direction as closely as possible. This novel implementation of shared co...

Some memories of the events of our lives have a long shelf-life-they remain accessible to recollection even after long delays. Yet many other of our experiences are forgotten, sometimes very soon after they take place. In spite of the prevalence of forgetting, theories of the development of episodic and autobiographical memory largely ignore it as a potential source of variance in explanation o...

This paper revisits the design of current controller for grid-connected voltage-source converters (VSCs), considering dynamic impacts phase-locked loop (PLL), weak grids, and voltage feedforward (VFF) control. First, a single-input single-output transfer-function-based model is proposed to characterize interactions control loops. It analytically found that proportional gain essentially aggravat...

Machine learning systems that built upon varying feature space are ubiquitous across the world. When set of practical or virtual features changes, online approach can adjust learned model accordingly rather than re-training from scratch and has been an attractive area research. Despite its importance, most studies for algorithms capable handling have no ensurance stationarity point convergence,...

Function approximation in online, incremental, reinforcement learning needs to deal with two fundamental problems: biased sampling and nonstationarity. In this kind of task, biased sampling occurs because samples are obtained from specific trajectories dictated by the dynamics of the environment and are usually concentrated in particular convergence regions, which in the long term tend to domin...

This paper presents a new approach for the model-based diagnosis. The model is based on an adaptation with a variable forgetting factor. The variation of this factor is managed thanks to fuzzy logic. Thus, we propose a design method of a diagnosis system for the sensors defaults. In this study, the adaptive model is developed theoretically for the Multiple-Input Multiple-Output (MIMO) systems. ...

In the online version of the EM algorithm introduced by Sato and Ishii ( 2000 ), a time-dependent discount factor is introduced for forgetting the effect of the old estimated values obtained with an earlier, inaccurate estimator. In their approach, forgetting is uniformly applied to the estimators of each mixture component depending exclusively on time, irrespective of the weight attributed to ...

nowadays knowledge and technology have become more important in organizations. sometimes the organizations forget their knowledge and skills unconsciously due to information inconsistencies and sometimes they forget their knowledge and skills consciously to become more agile. some aspects of forgetting are useful while the other aspects are harmful. moreover information technology has made a ba...