Predictor Based Unknown Non-linear Discrete Time Delayed System Using Sliding Mode Control

Singh, Parmendra; Goyal, Vishal; Deolia, Vinay Kumar; Sharma, T.N.

doi:10.1109/cict.2016.113

2016 Second International Conference on Computational Intelligence &Amp; Communication Technology (CICT) 2016

DOI: 10.1109/cict.2016.113

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Predictor Based Unknown Non-linear Discrete Time Delayed System Using Sliding Mode Control

Parmendra Singh

Vishal Goyal

Vinay Kumar Deolia

et al.

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Cited by 3 publications

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This paper provides comprehensive test results. Preliminary studies on paper honeycomb machine modelling structures always focus on static conditions; some random innovative honeycomb based paper honeycomb structures have their best mechanical performance And have received considerable attention in recent years due to specific activities. Inspired by bee hive, architecture, transportation, mechanical engineering, found wide applications in various fields including chemistry and using the first-principles of two-dimensional hive structures Explored the electronic properties of molybdenum disulfide. In this study, a new broadband microwave-absorbing honeycomb system was designed and fabricated using a new concept. Based on past studies of beetle front wing structures, we have developed an approach to creating honeycomb plates in an integrated body shape. Honeycomb structures widely used in vehicle and aerospace applications due to its high strength and low weight. Sample and we calculated first-principles within the density-function Theory for the study of structural, electronic and magnetic properties of boron-nitride honeycomb structure. Focusing on future electronics technologies and their potential impact on the attractive phenomena exposed in these integrated aluminium hives is considered a promising framework. The formation of a two-dimensional triangular finite element, including additional freedom, was derived based on Eringen's principle of micro polar elasticity. The structural, electronic, optical and vibration properties of zinc antimonate monolayer and their functional structures are explored. Due to the increasing technological development in various industries and the combined need for energy absorption, we have created honeycomb structural images of different diameters with light shock absorbers such as honeycomb structure

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Investigation of Various Honey comb Structure and Its Application

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Computer vision is Artificial Intelligence (AI) is a field of digital imagery, recovering meaningful information from videos and other visual inputs helps computers and systems - and take action or make recommendations based on that information. The main purpose of animal ecology is to observe living things in the natural world. The cost and challenge of data collection often restricts the scope of ecological research. Clinical image analysis involves the development, classification and diagnosis of a clinical picture. Computer Vision Syndrome (CVS) is a set of symptoms associated with prolonged work on a computer display. The answers to the diagnostic features can be displayed as thermo grams in leaf pictures, the answers to the diagnostic features can be displayed as thermo grams in leaf pictures, systematic and pale with the help of computer vision plenty for botanical studies the leaves are ready to make new contributions.

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Investigation of Industry 4.0 in the Robotized Millennium

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. Industry 4.0 Wireless Supported by connectivity and sensors Factories has machines. These sensors Display the entire production line and monitor and can make its own decisions are integrated into one system. Industry 4.0 Smart production Uses processes to produce essential waste products to meet the COVID-19 epidemic shortage. Patients need themselves Essential medical supplies to get on time, during this crisis Medical disposable items and Smart supply chain of equipment it provides Industry is 4.0 as a flexible product line Smart system used. Intelligence (I) by RTC, real-time information on Internet of Things (Yoda) and almost all other digital technologies for the entire production process. Any medical area Design and upgrade pre-designed Using software is done quickly and to print the required components Digital production such as 3D printing Uses technologies. Industrial 4.0 Technologies COVID19Diagnose symptoms of, It is related to this disease Helps to avoid the chances of getting sick Can predict. Possible health problems and expected recovery Helps keep track of opportunities. Govt for 19 explosions Assistive Industry 4.0 Notable Technologies. Cross New Business Opportunities Is open. However, flexibility, Performance and product customization the requirements of Real to handle value creation Procedures no longer apply. Industrial 4.0, (Fourth Industrial Revolution) is a term coined in Germany; more important ideas were first published in 2011.It is the internet of future technologies Physical systems (CPS), Integration in the Internet and production systems as defined. Control computers in real time, Plan and predict Helps. In the field of technology, in the production of this concept causing revolution and related services have been discussed in research for many years. One of the basic principles for creating an industrial 4.0 environment is to connect organizations and Working value chain individually and Control each other arbitrarily.

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Predictor Based Unknown Non-linear Discrete Time Delayed System Using Sliding Mode Control

Cited by 3 publications

References 14 publications

Investigation of Various Honey comb Structure and Its Application

Investigation of Various Honey comb Structure and Its Application

Exploring Recent Trends in Computer Vision

Investigation of Industry 4.0 in the Robotized Millennium

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