Engineering Commons^™

A Generalized Neuron Based Adaptive Power System Stabilizer For Multimachine Environment, D. K. Chaturvedi, O. P. Malik

D. K. Chaturvedi Dr.

Artificial neural networks can be used as intelligent controllers to control nonlinear, dynamic systems through learning, which can easily accommodate the nonlinearities and time dependencies. Taking advantage of the characteristics of a generalized neuron (GN), that requires much smaller training data and shorter training time, a GN-based adaptive power system stabilizer (GNAPSS) is proposed. It consists of a GN as an identifier, which predicts the plant dynamics one step ahead, and a GN as a controller to damp low frequency oscillations. Results of studies with a GN-based PSS on a five-machine power system show that it can provide good damping …

Catv Modulator Return Loss Effects On Headend Combining Isolation, Ron D. Katznelson

Ron D. Katznelson

This note addresses the impact of broadband return loss of frequency agile modulators when combined through headend combining networks. In particular, the effect of less-than-ideal output return loss values are examined and it is shown that even under the worst case conditions, a broadband return loss of 10 dB produces only small reductions in isolation that still permit cable operators to meet their headend combining specifications.

Robust Stability Analysis Of Large Power Systems Using The Structured Singular Value Theory, R. Castellanos, A. R. Messina, H. Sarmiento

A. R. Messina

This paper examines the application of structured singular value (SSV) theory to analyse robust stability of complex power systems with respect to a set of structured uncertainties. Based on SSV theory and the frequency sweep method, techniques for robust analysis of largescale power systems are developed. The main interest is focused on determining robust stability for varying operating conditions and uncertainties in the structure of the power system. The applicability of the proposed techniques is verified through simulation studies on a large-scale power system. In particular, results for the system are considered for a wide range of uncertainties of operating …

Study Of Physical Effects As A Performance Parameter In Optical Burst Switched Networks, Ioannis Karamitsos, Anna Tzanakaki, Ioannis Tomkos

John P. Karamitsos

No abstract provided.

Analytical Model For Optical Burst Switching (Obs) Networks With Linear Transmission Impairments, Ioannis Karamitsos

John P. Karamitsos

No abstract provided.

Paramètres Capacitifs Et Surtensions Dans L’Enroulement D’Un Moteur Asynchrone, Alimenté Par Un Convertisseur Mli, M.T. Belassel, Victor Bespalov, Boukhemis Chetate

Boukhemis Chetate

Dans ce travail nous présentons une méthode de calcul des paramètres capacitifs et des surtensions dans un enroulement d’un moteur asynchrone à cage alimenté par un convertisseur M.L.I La détermination des paramètres capacitifs est l’une des étapes les plus importantes dans le processus de modélisation mathématique des processus ondulatoires dans les moteurs asynchrones (MA), de ces paramètres dépend ce qu’on appelle la distribution initiale des tensions dans les capacités de l’enroulement. La machine étudiée dans ce travail possède un enroulement concentrique à deux couches avec une distribution anarchique des conducteurs circulaires ronds dans l’encoche, elle est fabriquée par l’entreprise ELECTRO-INDUSTRIES …

Energy Efficient Broadcast In Wireless Ad Hoc Networks With Hitch-Hiking, M Agarwal, Lx Gao, Jh Cho, J Wu

Lixin Gao

No abstract provided.

The Monitoring And Early Detection Of Internet Worms, Cc Zou, Wb Gong, D Towsley, Lx Gao

Lixin Gao

No abstract provided.

Platform Thinking In Embedded Systems, Robert Iannucci

Robert A Iannucci

No abstract provided.

Development Of A Service Learning Geohazards Class In Ecuador, Raúl Ordóñez

Raúl Ordóñez

Co-PI, UD, $8,500.

On-Chip Implementation Of Cascaded Integrated Comb Filters (Cic) For Dsp Application, Rozita Teymourzadeh, Masuri Othman

Dr. Rozita Teymourzadeh, CEng.