caa a22 4500 606206728 CHVBK 20210128101012.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s00034-015-0018-4 doi (NATIONALLICENCE)springer-10.1007/s00034-015-0018-4 Soft Computing Approach for Model Order Reduction of Linear Time Invariant Systems [Elektronische Daten] [Afzal Sikander, Rajendra Prasad] Most of the physical systems can be represented by mathematical models. The mathematical procedure of system modeling often leads to a comprehensive description of a process in the form of higher-order differential equations which are difficult to use either for analysis or for controller synthesis. It is, therefore, useful and sometimes necessary to find the possibility of some equations of the same type but of lower order that may be considered to adequately reflect almost all essential characteristics of the system under consideration. This paper proposes a new method for order reduction of higher-order linear time invariant systems based on stability equation method and particle swarm optimization algorithm. Reduced-order model will definitely be stable if the original model is stable. The superiority of the proposed method is illustrated by numerical examples of single-input, single-output systems and multiple-input and multiple-output systems. The results are compared with well-known methods available in the literature. Springer Science+Business Media New York, 2015 Stability equation method nationallicence Particle swarm optimization nationallicence Order reduction nationallicence Integral square error nationallicence Stability nationallicence Sikander Afzal Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India aut Prasad Rajendra Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3471-3487 0278-081X 34:11<3471 2015 34 34 https://doi.org/10.1007/s00034-015-0018-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-0018-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sikander Afzal Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India aut NATIONALLICENCE 700 1- Prasad Rajendra Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/11(2015-11-01), 3471-3487 0278-081X 34:11<3471 2015 34 34