大规模不确定离散区间模型的混合算法

2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON) Pub Date : 1900-01-01 DOI:10.1109/UPCON.2016.7894687

A. Chandel, M. Sharma, Deepak Parashar

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引用次数: 3

摘要

本文主要研究不确定离散区间时间系统的复杂性降低问题。该算法的新颖之处在于实际模型的阶跃响应和频响包络线与推导出的近似模型的阶跃响应包络线具有最优的接近性。在复杂父不确定系统稳定的情况下，该算法对逼近模型的稳定性和最终状态值具有良好的观察性。

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Mixed algorithm for large scale uncertain discrete interval models

This brief paper focuses on complexity reduction of uncertain discrete interval time system. The novelty of algorithm is that the step response and frequency response envelope of actual as well as derived approximate model show optimum closeness. The developed algorithm is observant towards stability and final state value of approximated model if complex parent uncertain system is stable.

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来源期刊

2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON)

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