Development of Model Order Reduction Techniques for Weighted and Limited Interval Systems / (Record no. 616124)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02830nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.382,BAT |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Batool, Sammana |
| 9 (RLIN) | 31664 |
| 245 ## - TITLE STATEMENT | |
| Title | Development of Model Order Reduction Techniques for Weighted and Limited Interval Systems / |
| Statement of responsibility, etc. | Sammana Batool |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rawalpindi, |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Date of publication, distribution, etc. | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xi, 125 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Finding an equivalent model for the real large-scale systems that is computationally easy to simulate and yields responses similar to the original system is known as model order reduction (MOR). MOR is essential in designing and analyzing large-scale com- plex systems such as robotic systems, hydraulic systems, nuclear reactors, filters, sensor networks, etc. Additionally, the utility of MOR was aided by the growing complexity of mathematical models used to predict real-world systems such as climate systems and the human cardiovascular system, etc. This suggests that the complex models were replaced with a much easier-to-understand and much simpler one. MOR aims to offer an easy replacement for the large-scale stable model that displays the same responses. The goal of reduced-order models (ROMs) is to preserve key characteris- tics of the original large-scale system, such as stability, passivity, and input-output response, etc. MOR has significantly advanced control system design by enabling effi- cient modeling of complex systems. Research has been done over the past few decades on the MOR of large-scale systems, leading to the development of various MOR tech- niques. However, the loss of crucial characteristics of the original system in ROMs, such as stability, significant approximation error, and the absence of a priori error bond limitations, places restrictions on these methods. This thesis aims to explore effective MOR techniques for weighted and limited Gramian-based systems while en- suring the stability of ROMs. Also, this research is extended to nonlinear systems using cross-Gramians. For linear continuous- and discrete-time systems (which incorporate weighted and limited-interval scenarios), the MOR problem is first formulated. Based on weighted and limited intervals Gramians, new methods for linear continuous and discrete-time systems are developed. For specific double-sided weights and intervals of interest, the proposed techniques guarantee the stability of reduced-order models. Furthermore, for the weighted and limited intervals cases, the suggested algorithms provide a priori error-bound formulations. Comparing the proposed strategies to the most advanced model reduction methods already in use, they largely produce low ap- proximation error. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Electrical Engineering Thesis |
| 9 (RLIN) | 133107 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD EE Thesis |
| 9 (RLIN) | 133108 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Muhammad Imran |
| 9 (RLIN) | 132697 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 02/07/2026 | 621.382,BAT | MCSPhD EE-31 | 02/07/2026 | 02/07/2026 | Thesis |