This paper presents a new position-and-velocity sensorless control of brushless dc motors using an adaptive sliding mode observer. The sliding mode observer is robust to measurement noises. Stability of the adaptive scheme is assured and estimation errors due to parameter deviations are analyzed.

In this paper, a detail design and description of predictive current control scheme are adopted for three-phase grid-connected two-level inverter its application in wind energy conversion systems. Despite advantages, the controller is very sensitive to parameter variations which could eventually affected on system stability. To solve problem, an estimation technique proposed identify value harm...

A convergence rate estimate is derived for the homogeneous gradient-based adaptive linear estimator algorithm. This estimate involves the eigenvalues of the regression vector covariance matrix, yielding a useful measure for thechoice of input signals for adaptive parameter estimation. The connection between this criterion and those more familiar from nonadaptive system identification is made an...

Setting signals at traffic intersections to reduce congestion is one of the most challenging problems in traffic management. To find the optimal control strategy, specific information of the traffic flows passing through intersections, such as vehicle arrival rates (number of vehicles per hour), must be provided in advance. In most control approaches, this parameter is assumed to be a known con...

Most of the document binarization techniques have many parameters that can initially be specified. Usually, subjective document binarization evaluation, employs human observes for the estimation of the best parameter values of the techniques. Thus, the selection of the best values for these parameters is crucial for the final binarization result. However, there is not any set of parameters that...

A recently proposed adaptive control scheme with mixing involves the use of precalculated candidate controllers whose output is weighted based on the parameter estimates generated by an on-line parameter estimator. It has been shown analytically and demonstrated in simulations that adaptive control with mixing exhibits good performance for the regulation case in the presence of modeling errors,...

Adaptive exponential smoothing methods allow a smoothing parameter to change over time, in order to adapt to changes in the characteristics of the time series. However, these methods have tended to produce unstable forecasts and have performed poorly in empirical studies. This paper presents a new adaptive method, which enables a smoothing parameter to be modelled as a logistic function of a us...