67 research outputs found
Sliding mode control of discrete-time weakly coupled systems
No full textSliding mode control is a form of variable structure control which is a powerful tool to cope with external disturbances and uncertainty. There are many applications of sliding mode control of weakly coupled system to absorption columns, catalytic crackers, chemical plants, chemical reactors, helicopters, satellites, flexible beams, cold-rolling mills, power systems, electrical circuits, computer/communication networks, etc. In this thesis, the problem of sliding mode control for systems, which are composed of two weakly coupled subsystems, is addressed. This thesis presents several methods to apply sliding mode control to linear discretetime weakly-coupled systems and di fferent approaches to decouple the sub-systems. The application of Utkin and Young's sliding mode control method on discrete-time weakly-coupled systems is studied in detail which is then compared with other control algorithms while emphasizing the importance of the decoupling technique in each case. It also presents the possibility of integrating two or more control strategies for a single system; one for each sub-system, depending upon the respective requirements and constraints. In this thesis, the eff ectiveness of the proposed methods is demonstrated through theory and simulation results.M.S.Includes bibliographical referencesIncludes vitaby Prashanth Kumar Gopal
Author recognition using Locality Sensitive Hashing & Alergia (Stochastic Finite Automata)
Full text linkIn today’s world data grows very fast. It is difficult to answer questions like 1) Is the content completely written by this author, 2) Did he get few sentences or pages from another author, 3) Is there any way to identify actual author. There are many plagiarism software’s available in the market which identify duplicate content. It doesn’t understand writing pattern involved. There is always a necessity to make an effort to find the original author. Locality sensitive hashing is one such standard for applying hashing to recognize authors writing pattern
Preparation and characterization of biodegradable chitosan based nanocomposite films for food packaging application.
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Preparation and characterization of biodegradable chitosan-poly-€-caprolactone based nanocomposite blendfilms.
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Studies on Self assembly of Low Molecular Weight Chitosan.
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
Updated area function analysis for nano indentation of micro fibers
No full textKevlar has a remarkable combination of high strength, high modulus, toughness and thermal stability compared to many other organic fibers. These impressive properties are due to their molecular structure, developed during their production process which is based on liquid crystal technology, as the rigid molecular chains form a mesophase in solution. Modeling of the high-performance ballistic fabric has gradually shifted from the continuum and yarn length scales to the sub-yarn length scale which enabled establishment of the relationships between the fabric penetration resistance and various fiber-level phenomena such as fiber-fiber friction, fiber twist, and transverse properties of the fibers. An instrumented indentation method was established in this thesis work to accurately measure the local elastic-plastic material properties of a single fiber. As indentation theory assumes that the indent is being placed on a semi-infinite flat surface, general area function cannot predict accurate projected area on a circular specimen. The indentations on cylindrical surface require modified equations to determine the area function and subsequently, the hardness and reduced modulus. The Oliver-Pharr instrumented indentation data analysis method is followed for the calculation of area function of the indenter geometry through the simulation of the known properties of the material. This new area function calculation method is compared with the geometry correction method by Quinn McAllister and John W. Gillespie, Jr to calculate the elastic modulus of the fiber in transverse direction. In addition, Compliance contributions are attributed to the lack of constraint due to the finite geometry of a curved fiber surface. This compliance contribution is accounted by using a proposed area correction to capture the geometry of the curved fiber-probe contact. Implementation of these corrections to experimental indentation curves results in accurate measurements of the fiber elastic modulus.M.S.Includes bibliographical referencesby Prashanth Turl
To select the best tool for generating 3D maintenance data and to set the detailed process for obtaining the 3D maintenance data
No full textComparison of Multi-Model History Matching Methods
No full textThe oil industry is a high risk high reward venture. The capital and operating expenses runs into tens of millions of dollars with oil production being the primary source of revenue. During the initial development phase of the field, few wells are completed. Data collection during this period verifies assumptions made during the modelling phase and forms the basis for future development. History matching can play a significant role in these plans since it can determine uncertainties in future production. History matching algorithms must be able to make an accurate estimates of uncertainty in future production while being computationally light. Towards this end, a number of history matching methods have been developed with emphasis being on the ensemble Kalman filter (EnKF) in recent times. While the variants of the EnKF seek to improve different aspects of the method, few have been successful in addressing all of these concerns. The Distributed Gauss Newton (DGN) was developed with the same goal- accurate uncertainty prediction at low computational cost. It is not a variant of the EnKF but uses a sensitivity matrix determined through linear regression which decreases the computational load compared to existing gradient based techniques. In their tests, the authors report superior performance of the DGN compared to a Gauss-Newton scheme. This thesis aims to provide a detailed understanding of the method and its dependencies. This is followed up with a comparison of the DGN with an EnKF variant known as the ES-MDA.Applied Earth Science
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