![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
The recently proposed parallel-adaptive (PA) algorithm reliably generates the frequency response template of a given system to a prescribed accuracy. However, it suffers from an inherent disadvantage in that the system parameters are always bisected along the maximum width coordinate direction, without due consideration of whether the function widths are thereby significantly reduced or not. Due to the disadvantage, the template generated may comprise of an unnecessarily large number of angle-magnitude rectangles. In this paper, an improved version of the PA algorithm, called the parallel-adaptive algorithm with back-tracking (PABT) is proposed. In this, parameters are bisected only along favorable directions. Performances of PABT and PA algorithms are compared on a set of ten transfer function examples. PABT algorithm generates a system template comprising of lesser number of rectangles, and hence is superior to the PA algorithm.
Additional information
Notes on contributors
S Sheela
Sheela S, received BTech (Honors) and MTech (Honors) degrees in Electrical Engineering from REC Calicut in 1988 and 1992, respectively. Since 1991, has been working as a lecturer in the Electrical and Electronics Engineering Department of NSS College of Engineering Palakkad, Kerala. Presently doing PhD with the Systems and Control Engineering Group of IIT Bombay. Her areas of interest are Interval Analysis and Robust Control.
P S V Nataraj
Paluri S V Nataraj obtained his BTech in Chemical Engineering from Regional Engineering College, Warangal in 1979 and MTech and PhD from IIT Madras in process dynamics and control in 1981 and 1987. He then worked in the CAD center at IIT Bombay for about one and half years before joining the faculty of the systems and control engineering group at IIT Bombay in 1988. His current research interests are in the areas of robust, nonlinear control, control and reliable computing. He has published more than twenty-five papers in variuos international conferences and reputed journals. He has also guided several Masters and Doctoral students in these areas.