AN EXTENDED METHOD FOR ORDER REDUCTION OF LARGE SCALE MULTI VARIABLE SYSTEMS
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 5
Abstract
In this paper, an effective procedure to determine the reduced order model of higher order linear time invariant dynamic multivariable systems is discussed. Numerator and denominator polynomials of reduced order model are obtained by redefining the time moments of the original high order system and the method is extended to multi variable systems. The proposed method has been verified using typical numerical examples.
Authors and Affiliations
Dr. G. Saraswathi
A New Look to Traversal Algorithms Using Set Construct Data Structure
Tree traversal refers to the process of visiting or examining or updating each node in a tree data structure, exactly once, in a systematic way. Such traversals are classified by the order in which the nodes of the tree...
Analysis of Dependencies of Checkpoint Cost and Checkpoint Interval of Fault Tolerant MPI Applications
In this paper, we have analysed i) the relationship between the checkpoint cost and the optimal checkpoint interval and ii) the relationship between the checkpoint cost and the number of processors (processes) and we hav...
FREQUENT DATA GENERATION USING RELATIVE DATA ANALYSIS
Traditional association rule mining method mines association rules only for the items bought by the customer. However an actual transaction consists of the items bought by the customer along with the quantity of items bo...
Multi-document Summarization for Query Answering E-learning System
The proposed E-learning system aims at providing a multi-document summarization for documents retrieved from Google and providing the user a precise answer for his/her query under the domain of “Operating Systems”. This...
Assessment of Fraud Pretentious Business Region Research Articles Using Data Mining Approaches
In any organization, fraud detection and prevention is daunting task because millions of dollars lost with the different nature of fraudulent activities. Organizations got to engage intelligent and innovative techniques...