{ A new method for model reduction is proposed. The reduction technique is based a recently developed methods, namely frequency domain balanced truncation within a frequency bound. This reduction technique is developed for model reduction of very large dynamical systems which are frequently appear in analysis and simulation in Micro-technology as a result of finite element method. The proposed method is of interest for practical model order reduction because in this context it shows to keep the accuracy of the approximation as high as possible without sacrificing the computational efficiency. The method is implemented for simulation and analysis of micro-electromehcanical optical filter. Numerical results show the accuracy and efficiency enhancement of the method in comparison to previous techniques in this context},

{This paper presents an analytical approach for the analysis of the current ripple in space vector based PWM controlled induction motor drives. This paper considers seven different types of switching sequences. By using the instantaneous ripple voltages, the current ripple expressions are derived for all the sequences. To reduce the complexity involved in the conventional space vector approach, the proposed sequences have been carried out using the concept of imaginary switching times. Finally, to reduce the current ripple, hybrid PWM (HPWM) algorithm has been developed which uses a sequence that results in the lowest rms current ripple over the given sampling time interval. Thus, the proposed HPWM algorithm reduces the current ripple at all modulation indices. To validate the proposed HPWM algorithm, numerical simulation studies have been carried out and compared with the conventional space vector PWM (CSVPWM) algorithm},

{In chemical industries parallel cascade controllers are used to improve the dynamic performance of a control system. Cascade controllers has two controllers, primary and secondary controllers in cascade. In this paper, a fuzzy based control is designed for the primary controller to improve the performance of the parallel cascade control. The secondary controller is implemented with internal model control (IMC) method. The dead time in the process is compensated by incorporating Smith predictor in the primary loop. The use of fuzzy logic controller is more effective than the conventional controller. It contributes to achieve quick response and high accuracy to variations in input parameter fluctuations during operations in systems, and also provides robust control performance. The performance of the proposed method has been evaluated by conducting experiments on two different systems. The simulation results revealed that the proposed method outperforms other recently reported methods in performance measures for both transient and steady state conditions},

{A model for the steady state, geometrically non-linear, periodic forced vibration of fully clamped thin rectangular composite plates under harmonic external excitation is presented. The equations of motion have been derived using spectral analysis, Lagrange's equations, and the harmonic balance method (HBM). This forced case has been examined using a single and multimode approach. A multidimensional Duffing equation in the case of fully clamped rectangular laminated composite plates has been obtained. The behaviour of the symmetrically laminated plates on the responses to forced vibration under harmonic distributed force. Results obtained are compared with some solutions based on hierarchical finite element method. It is found that accurate results may be produced using the present model},

{In this paper, a robust adaptive control algorithm for speed sensorless induction motor drive is presented. The main feature of this control algorithm is that minimum synthesis is required to implement the proposed strategy. It is known as model reference adaptive controller (MRAC). The MRAC appeared to be robust in the fact of totally unknown plant dynamics, external disturbances and parameter variations. The induction motor stator resistance variations effect on the rotor speed are rejected by the MRAC controller due to its robustness. However, the performance of the Indirect Stator Field Oriented Control (ISFOC) are shading off. It is so because the reference commands computation of the ISFOC are based on the induction motor model, which includes that resistance. Therefore, a combination of three observers is used : a Luenberger observer to obtain the rotor flux and a two MRAS observers for rotor speed and stator resistance estimation. Digital simulation results are presented to highlight the improvement in performances of the overall proposed control scheme},

{This paper will provide an effective help to all those who make decisions regarding the planning and implementation of projects wind Energies. We used the software Alwin for sizing a wind farm of 140 MW installed in Melloussa cite, 25 Km from Tangier, in north Morocco . We analyzed the collected wind data during one year, to assess wind power potential, the prediction of produced electric power in the site based on a judicious choice of Wind Turbine Generator, as well as, the automatic determination of direction of the wind on the site and analysis of wind turbulence. Thus, the integration into the grid provides several benefits. However, this type of production which has an impact on the electric network and its connection is subject to technical constraints. We will study the various generators used to produce electric power from wind energy and choose the one with a good price per kilowatt hour, then to study the feasibility of integration of this wind farm in the electric grid. And finally, we treated the various principles, concepts used in data transmission and remote monitoring of wind farms, and we proposed industrial solutions of telemanagement which can be applied in remote wind farm in the site},