Analysis of interval system using model order reduction

Kalaiselvi, P.; Pratheep, V. G.

doi:10.1109/iciiecs.2015.7193142

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Hence the objective is to design and fabricate a 3-axis welding robot to improve welding quality at low cost. To automate the welding process whereby increase accuracy, speed and productivity [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Design and Fabrication of 3 Axis Welding Robot

Pratheep¹,

Priyanka²,

Raja³

2019

IJITEE

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Robot is a machine that collects the information about the environment using some sensors and makes a decision automatically. People prefer it to use different field, such as industry, some dangerous jobs including radioactive effects. In this point, robots are regarded as a server. They can be managed easily and provides many advantages. A robot arm is known manipulator. It is composed of a set of joints separated in space by the arm links. The joints are where the motion in the arm occurs. In basic, a robot arm Consists of the parts: base, shoulder, wrist and end effector. The base is the basic part over the arm, it may be fix or active. The joint is flexible and joins two separated links. The link is fix and supports the wrist. The last part is an end effector. The end effector is used to hold. Vibration is the physical movement or oscillation of a mechanical part about a reference position. The Static analysis is not difficult to analyses. It is solved by analytical method.

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Section: Introductionmentioning

confidence: 99%

Design and Fabrication of 3 Axis Welding Robot

Pratheep¹,

Priyanka²,

Raja³

2019

IJITEE

Self Cite

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“…The major application of the reduced order modeling is in the area of large integrated circuits’ (IC), vibration analysis of the aircrafts, micro order systems, and so forth. An extensive literature does exist in the area of models, methods and techniques for obtaining ROM of linear continuous systems in time domain and frequency domain (Bandyopadhyay and Lamba, 1987; Enright and Kamel, 1980; Hutton and Friedland, 1975; Juneja and Nagar, 2015; Kalaiselvi and Pratheep, 2015; Krishnamurthy and Seshadri, 1978; Lucas, 1992; Singh et al, 2004). The concept of hybrid models for reducing the dimension of the larger models was also suggested by some of the researchers.…”

Section: Introductionmentioning

confidence: 99%

Model order reduction using factor division algorithm and fuzzy c-means clustering technique

Gautam

Singh

Choudhary

et al. 2018

Transactions of the Institute of Measurement and Control

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This paper proposes a novel hybrid approach that combines factor division algorithm and fuzzy c-means clustering technique for reducing the model order of high-order linear time invariant system. The process of clustering is used for finding the group of objects with similar nature that can be differentiated from the other dissimilar objects. The numerator of the higher order model is reduced using the factor division algorithm and the denominator of the higher order model is reduced using the fuzzy c-means clustering technique. The stability of the model is also verified using the pole zero stability analysis and it was found that the obtained reduced order model (ROM) is stable. Further, the steady state and transient response of the ROM is found to be better than the other existing techniques. The performance of the ROM is compared to other existing techniques in terms of integral square error, integral of time multiply squared error, integral absolute error and integral time-weighted absolute error.

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