This paper proposes an extension of neural network identification capabilities for on-line identification of a nonlinear closed-loop control system. The neural network (NN) is trained on-line using the backpropagation optimization algorithm with an adaptive learning rate. The optimization algorithm is performed at each sample time to compute the optimal control input. The results confirm the ef...

This paper presents an identification method for both off-line and on-line identification of non linear models of Unmanned Underwater Vehicles (UUVs). The proposed method can be applied to a quite general class of non linear multivariable models and is characterised by an excellent numerical performance, as illustrated through a simulated example. The validity of the proposed method is also dem...

This paper is in line with the previous publication on the powdery mildew fungi from Gilan province (Iran). This part deals with two new species to Iran and provides some information on the distribution, host range and morphology of a few other. For generic identification, the authors have followed the generic concepts that have recently been introducd by BRAUN (1999) and BRAUN  and TAKAMATSU (...

Crosstalk between multiple services transmitting through the same telephone cable is the primary limitation to digital subscriber line services. From a spectrum management point of view, it is important to have an accurate map of all the services that generate crosstalk into a given pair. If crosstalk is measured via modem-based methods, i.e., while a digital subscriber line (DSL) system is run...

We continue our study of document marking t o deter illicit dissemination. A n experiment we performed reveals that the distortion on the photocopy of a document is very different in the vertical and horizontal directions. This leads to the strategy that marks a text line both vertically using line shifting and horizontally using word shifting. A line that is marked is always accompanied by two...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract — The aim of my paper is to automate the process of whole assembly plants by contributing for speeding up the production, qualitative and costefficient units. Interfacing IPMS with PLC (Programmable Logic Controller) the automobile manufacturing pl...

The on-line least square parameters (electrical and mechanical) identification method of the separately DC motor is presented in this paper. The parameters of the DC machine are time dependent; therefore, for the DC drive control the on-line parameters identification procedure is mandatory. By knowing accurately the DC motor parameters, the parameters of the DC speed and current cascade control...

This paper presents first a performance analysis of the recently developed Minimal Resource Allocating Network (MRAN) algorithm for on-line identification of nonlinear dynamic systems. Using nonlinear time invariant and time varying identification benchmark problems, MRAN’s performance is compared with the recently proposed On-line Structural Adaptive Hybrid Learning (ONSAHL) algorithm of Junge...

It is well known that people can perfectly identify only a handful of distinct unidimensional stimuli, such as line lengths, but can identify thousands of complex stimuli, such as letters and words. This result is consistent with capacity limits in identifying unidimensional stimuli but not complex stimuli. The experiments reported here tested this theoretical dissociation using Luce's (1963) S...