Model Order Diminution of Discrete Interval Systems Using Kharitonov Polynomials
In this research proposal, diminution of higher order (HO) discrete interval system (DIS) is accomplished by utilizing Kharitonov polynomials. The DIS is firstly, transformed into continuous interval system (CIS). The Markov-parameters (MPs) and time-moments (TMs) are exploited for determination of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9798827/ |
| _version_ | 1828804226960064512 |
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| author | V. P. Meena U. K. Yadav V. P. Singh Baseem Khan |
| author_facet | V. P. Meena U. K. Yadav V. P. Singh Baseem Khan |
| author_sort | V. P. Meena |
| collection | DOAJ |
| description | In this research proposal, diminution of higher order (HO) discrete interval system (DIS) is accomplished by utilizing Kharitonov polynomials. The DIS is firstly, transformed into continuous interval system (CIS). The Markov-parameters (MPs) and time-moments (TMs) are exploited for determination of approximated models. The ascertainment of model order diminution (MOD) of DISs is done by Routh-Padé approximation. The Routh table is utilized to obtain the denominator of approximated model. The unknown numerator coefficients of desired approximated model are determined by matching MPs and TMs of DISs and desired model. This whole procedure of MOD is elucidated with the help of one test illustration in which third order system is reduced to first order model as well as second order model. To prove applicability of the proposed method, impulse, step and Bode responses are plotted for both system and model. For relative comparison, time-domain specifications of proposed model are tabulated for both upper and lower limits. Further, performance indices are specified for dissimilarities between responses of system and model. The obtained results depict the effectiveness and efficacy for the proposed method. |
| first_indexed | 2024-12-12T07:37:07Z |
| format | Article |
| id | doaj.art-2b3024369b9b4a088adec9992a09eea7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-12T07:37:07Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2b3024369b9b4a088adec9992a09eea72022-12-22T00:32:53ZengIEEEIEEE Access2169-35362022-01-0110667226673310.1109/ACCESS.2022.31840069798827Model Order Diminution of Discrete Interval Systems Using Kharitonov PolynomialsV. P. Meena0https://orcid.org/0000-0002-5910-9778U. K. Yadav1V. P. Singh2Baseem Khan3https://orcid.org/0000-0003-1667-386XDepartment of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, IndiaDepartment of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, IndiaDepartment of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, IndiaDepartment of Electrical and Computer Engineering, Hawassa University, Hawassa, EthiopiaIn this research proposal, diminution of higher order (HO) discrete interval system (DIS) is accomplished by utilizing Kharitonov polynomials. The DIS is firstly, transformed into continuous interval system (CIS). The Markov-parameters (MPs) and time-moments (TMs) are exploited for determination of approximated models. The ascertainment of model order diminution (MOD) of DISs is done by Routh-Padé approximation. The Routh table is utilized to obtain the denominator of approximated model. The unknown numerator coefficients of desired approximated model are determined by matching MPs and TMs of DISs and desired model. This whole procedure of MOD is elucidated with the help of one test illustration in which third order system is reduced to first order model as well as second order model. To prove applicability of the proposed method, impulse, step and Bode responses are plotted for both system and model. For relative comparison, time-domain specifications of proposed model are tabulated for both upper and lower limits. Further, performance indices are specified for dissimilarities between responses of system and model. The obtained results depict the effectiveness and efficacy for the proposed method.https://ieeexplore.ieee.org/document/9798827/Discrete interval systemsinterval systempadé-approximationRouth approximationmodel order diminution |
| spellingShingle | V. P. Meena U. K. Yadav V. P. Singh Baseem Khan Model Order Diminution of Discrete Interval Systems Using Kharitonov Polynomials IEEE Access Discrete interval systems interval system padé-approximation Routh approximation model order diminution |
| title | Model Order Diminution of Discrete Interval Systems Using Kharitonov Polynomials |
| title_full | Model Order Diminution of Discrete Interval Systems Using Kharitonov Polynomials |
| title_fullStr | Model Order Diminution of Discrete Interval Systems Using Kharitonov Polynomials |
| title_full_unstemmed | Model Order Diminution of Discrete Interval Systems Using Kharitonov Polynomials |
| title_short | Model Order Diminution of Discrete Interval Systems Using Kharitonov Polynomials |
| title_sort | model order diminution of discrete interval systems using kharitonov polynomials |
| topic | Discrete interval systems interval system padé-approximation Routh approximation model order diminution |
| url | https://ieeexplore.ieee.org/document/9798827/ |
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