this paper describes an optimal design for multivariable pi controller with a high gain structure for an irregular system by genetic algorithm. pi controllers with a high gain structure leads to the asymptotic decomposition of the fast and slow modes in the closed loop system that have unique characteristics. the slow modes are asymptotically uncontrollable and unobservable; therefore, they hav...

Anode-supported micro-tubular solid oxide fuel cell (SOFC) offers many advantages over the electrolyte and cathode-supported confgurations in terms of simplicity, reliability, and efciency. In such design, the anode substrates should possess a highly porous structure, provide active sites reaction as well as serving good mechanical strength. This structure is desired to ...

Selection of run time parameters is a critical step in the application of genetic algorithms Numerous investigations have discussed parameter set selection both theoretically and em pirically Theoretical work has focused on the choice of population size while empirical studies cover a wide range of GA parameters Theory suggests population sizes which increase exponentially with string length Th...

Within unbroken SUSYQM and for zero factorization energy, I present an iterative generalization of Mielnik’s isospectral method by employing a Schrödinger true zero mode in the first-step general Riccati solution and imposing the physical condition of normalization at each iterative step. This procedure leads to a well-defined multipleparameter structure within Mielnik’s construction for both z...

In this article, the free vibration analysis of magneto-electro-elastic (MEE) Timoshenko micro beam model based on surface stress effect and modified strain gradient theory (MSGT) under moving nano-particle is presented. The governing equations of motion using Hamilton’s principle are derived and these equations are solved using differential quadrature method (DQM). The effects of dimensionless...

In this paper, the size dependent behavior of the gold micro-switches has been studied. This behavior becomes noticeable for a structure when the characteristic size such as thickness or diameter is close to its internal length-scale parameter. The size dependent effect is insignificant for the high ratio of the characteristic size to the length-scale parameter, which is the case of the silicon...

We propose a novel method for ab-initio prediction of protein tertiary structures based on the fragment assembly and global optimization. Fifteen residue long fragment libraries are constructed using the secondary structure prediction method PREDICT, and fragments in these libraries are assembled to generate full-length chains of a query protein. Tertiary structures of 50 to 100 conformations a...

My research activity focuses on the field of Machine Learning. Two key challenges in most machine learning applications are uncertainty and complexity. The standard framework for handling uncertainty is probability, for complexity is first-order logic. Thus we would like to be able to learn and perform inference in representation languages that combine the two. This is the focus of the field of...

Reconstruction of the structure and parameters of an Ising model from binary samples is a problem of practical importance in a variety of disciplines, ranging from statistical physics and computational biology to image processing and machine learning. The focus of the research community shifted toward developing universal reconstruction algorithms that are both computationally efficient and req...