Reducing the order of higher order systems by mixed approach is Improved Pade-Pole clustering based method to derive a reduced order approximation for a stable continuous time system is presented. In this method, the denominator polynomial of the reduced order model is derive by improved pole-clustering approach and the numerator polynomial are obtain through Padé approximation technique and by...

The demand of reliable statistics for small areas, when only reduced sizes of the samples are available, has promoted the development of small area estimation methods. In particular, an approach that is now widely used is based on linear mixed models. Chambers & Tzavidis (2006) have recently proposed an approach for small area estimation that is based on M-quantile models. However, when the fun...

Recent studies have shown that high-order hidden Markov models (HMMs) are feasible and useful for spoken language processing. This paper extends the fixed-order versions to ergodic mixedorder HMMs, which allow the modelling of variable-length contexts with significantly less parameters. A novel training procedure automatically infers the number of states and the topology of the HMM from the tra...

There is a rapid increase in the installed capacity of offshore wind power plants (WPPs) worldwide, and trend will continue context recent EU energy crisis Ukraine war. As share increases systems, it essential that WPPs can stay connected with grid during different operational events provide ancillary services. Recent research has identified Phase Locked Loop (PLL) converter control as contribu...

We present a complete halo model for mixed dark matter composed of cold (CDM) and ultralight axion-like particles (ULAs). Our treats ULAs as biased tracer CDM, in analogy to treatments massive neutrinos neutral hydrogen. The accounts clustering around CDM host halos, fully models the cross correlations both components. inputs include ULA Jeans scale, soliton density profile. can be used predict...

We construct a second-order continuum traffic model by using an iterative procedure in order to derive a constitutive relation for the traffic pressure which is similar to the Navier–Stokes equation for ordinary fluids. Our second-order traffic model represents an improvement on the traffic model suggested by Kerner and Konhäuser since the iterative procedure introduces, in the constitutive rel...