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A frequency weighted model order reduction technique and error bounds |
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| Affiliation: | 1. Military College of Signals, National University of Sciences and Technology (NUST), Islamabad, Pakistan;2. School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA 6009, Australia;1. State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Zheda Road 38, Hangzhou 310027, China;2. Advanced Process Control Unit, P&CSD, ES, Saudi Aramco, Dhahran, Saudi Arabia |
| Abstract: | A new frequency weighted technique for balanced model reduction is proposed. The proposed technique not only provides stable reduced order models for the case when both input and output weightings are included but also yields frequency response error bounds. The method is illustrated using numerical examples and the results are compared with other frequency weighted model reduction techniques. |
| Keywords: | Model reduction Gramians Frequency weighted Balanced truncation Error bounds |
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