This paper presents an application of the feedback error learning technique for online control of an inverted pendulum which has uncertain friction nonlinearity. In order to build up online adaptive learning control, i) the preliminary offline training and the scaling factor for the neural network to escape from the local minimum, and ii) twostage learning scheme are introduced. After some lear...

It has been proposed that the sensorimotor system uses a loss (cost) function to evaluate potential movements in the presence of random noise. Here we test this idea in the context of both error-based and reinforcement-based learning. In a reaching task, we laterally shifted a cursor relative to true hand position using a skewed probability distribution. This skewed probability distribution had...

The reinforcement learning model (Holroyd and Coles, 2002) argues that a feedback ERN is generated when the feedback is worse than expected. In the current experiment, we investigated whether the reinforcement learning system was also activated by unexpected feedback in a task in which feedback was not necessary to perform properly. A flankers task, in which false negative feedback was presente...

The effect of providing error-flagging support during tests was studied in spring 2009 with two tutors on while and for loops. A partial crossover design was used for the study and mixed-factor ANOVA was used to analyze the students’ score per problem, number of revised problems, effect of revision on score and time spent per problem, and finally, the effect of errorflagging on adaptation and l...

This paper proposes a necessary and sufficient condition of convergence in the 2 L norm sense for a feedback-based iterative learning control (ILC) system including a multi-input multi-output (MIMO) linear time-invariant (LTI) plant. It is shown that the convergence conditions for a nominal plant and an uncertain plant are equal to the nominal performance condition and the robust performance co...

We develop a communication-efficient distributed learning algorithm that is robust against Byzantine worker machines. propose and analyze gradient-descent performs simple thresholding based on gradient norms to mitigate failures. show the (statistical) error-rate of our matches Yin et al. (2018...

anxiety disorders are the most common reasons for referring to specialized clinics. if the response to stress changed, anxiety can be greatly controlled. the most obvious effect of stress occurs on circulatory system especially through sweating. the electrical conductivity of skin or in other words galvanic skin response (gsr) which is dependent on stress level is used; beside this parameter pe...