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A five parameters I-V model has been presented to predict I-V characteristics of submicron GaAs MESFETs. The proposed model guaranteed convergence in an optimization process and does not trap in a local minimum which is frequently observed in Dobes model. Comparison between the Dobes and the proposed model has been carried out by developing an optimization code based on particle swarm optimization...
This paper presents a modified Smith-Predictor to optimize disturbance-rejection performance with constraints on robustness and reference-tracking. A 2-degree-of-freedom Smith-Predictor is used to deal with the set-point tracking and disturbances separately while ensuring a certain level of maximum sensitivity. So the paper covers three aspects of control system that are the set-point tracking, robustness...
Image matting is a process of separating the foreground objects from an image along with opacity values for each pixel. It is an under-constraint problem hence a user interaction is required to identify the definite foreground, background and semi-transparent pixels. In general the information in the definite foreground and background regions is modeled locally to estimate the foreground and background...
Signaling Pathways regulate several processes in cells. Analysis of these signaling pathways is difficult because the number of proteins/chemicals involved in signal transduction is enormous. Moreover presence of crosstalk makes these pathways so complex that analysis without some computational framework is very difficult. Knocking out/mutation of crosstalk may affect the regulation of some particular...
Image based object tracking has always remained a challenging task because of the numerous video complexities, such as illumination variations, posture or view-angle alterations, object appearance changes, partial and full occlusions etc. Another important constraint is the necessity of real-time processing of online video stream. The tracking technique and object appearance model play a critical...
The main objective of this paper is to design an efficient active suspension control system for the full car model. The conventional passive suspension and semi-active suspension systems do not provide good vehicle's handling against the road disturbances and ride comfort. To tackle this problem, Wavelets based Recurrent Adaptive NeuroFuzzy (WRANF) control approach is used for active suspension control...
Loop filter is an essential part of the phase locked loop. It removes the high frequency oscillations and generates the appropriate control signals for the voltage controlled oscillator. Besides it also reduces the effects of oscillator pulling and prevents injection locking. In this work the loop filter is designed using novel discrete time sliding mode controller design technique. A novel reaching...
The modelling of physical systems is very important phenomena in today's world due to easy understanding of their dynamics. There are several methods to model the physical systems, one of which is the bond graph technique which is the graphical representation of the physical dynamics of the systems. In this paper, we have modelled the heat mechanism of a biomedicai baby incubator that is used to keep...
In this paper actuator fault diagnosis problem in active vehicle suspension system is investigated. Full car model is used in the study. A fault diagnosis approach based on Unknown input observer (UIO) is used for detection of actuator faults. A bank of observers is used to design a fault isolation scheme for actuator faults.
Indirect field oriented vector control relies on the estimation of rotor flux and its synchronous angle to ascertain decoupling of torque and flux. This estimation is based on the calculation of slip-speed and current model both of which are prone to the detuning of rotor electrical parameters. This paper aims to resolve this issue by online adapting rotor winding resistance using the reactive power...
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