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research-article | 23-August-2019

Linearization of the sensors characteristics: a review

materials have a nonlinear response. A typical nonlinear response curve of a sensor can be represented by nth-order polynomial function, the order of which depends on the nonlinearity value. A typical third-order response (y) can be represented by: (1) y = a 3 x 3 + a 2 x 2 + a 1 x + a 0 , where x is the measurement parameter; and a 3, a 2, a 1, and a 0 are the characteristic coefficients of the sensor. By the linearization circuit, the nonlinear response curve

Tarikul Islam, S. C. Mukhopadhyay

International Journal on Smart Sensing and Intelligent Systems , Volume 12 , ISSUE 1, 1–21

Article | 01-March-2016

ON MASS SENSING USING MICRO/NANO RESONATORS - APPROACHES, CHALLENGES AND DIRECTIONS

in this field. Various sensing and actuation strategies for these resonators are discussed. In addition, three important challenges, which have the potential of providing new directions of research are also explored. These include quality factor, increasing nonlinearity and coupling. Coupling of sensors can provide a unique opportunity to build several resonant sensors on the same chip and reduce the number of contacts required as well as the potential bandwidth

Bhaskar Choubey, Alistair McEwan

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 1–20

Research Article | 03-March-2021

Life expectancy in West African countries: Evidence of convergence and catching up with the north

The article aims to investigate the possibility of the convergence and catching up of life expectancy values observed in West African countries with those noted in North African countries. Following the theory of time series convergence, documented in Bernard and Durlauf (1996) and Greasley and Oxley (1997), more robust unit root tests, based on the Fourier nonlinearity and instantaneous breaks proposed in Furuoka (2017), are used in investigating the convergence of each pair of a West African

OlaOluwa S. Yaya, Oluwaseun A. Otekunrin, Ahamuefula E. Ogbonna

Statistics in Transition New Series, Volume 22 , ISSUE 1, 75–88

Article | 02-November-2017

DESIGN AND FPGA IMPLEMENTATION OF NONLINEARITY COMPENSATION OF CAPACITIVE PICK-OFF MEMS ACCELEROMETER FOR SATELLITE LAUNCH VEHICLES

This paper presents the algorithm on the compensator design for eliminating the nonlinearity in the capacitive pick-off MEMS open-loop accelerometer and its implementation in the FPGA. A simple and elegant method is presented for the purpose. In the sensor model of compensator, upto 3rd order terms are taken. The first step approximation is derived using linear model. This approximation is improved over iterations to reduce the non-linearity. With this method, the inertial navigational grade

Thampi Paul, S.Vijin Jenius, M. Sasi Kumar

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 2, 213–228

Article | 01-June-2015

AN ADVANCED NONLINEAR SIGNAL MODEL TO ANALYZE PULSATION-DERIVED PHOTOPLETHYSMOGRAM SIGNALS

This paper proposes an advanced nonlinear signal model to handle the intrinsic nonlinearity of the pulsation of photoplethysmogram (PPG) signals and so permit their assessment. This model consists of three-different sinusoidal source signals and it successfully reproduces the primary harmonic, the second harmonic, the respiratory and the other spectra stemming from the interaction of the three source signals. We demonstrate the potential of the model in various experiments on PPG signals. It is

H. Ozaki, Y. Omura

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 921–943

Research Article | 04-September-2019

CPI INFLATION IN AFRICA: FRACTIONAL PERSISTENCE, MEAN REVERSION AND NONLINEARITY

O. S. Yaya, O. J. Akintande, A. E. Ogbonna, H. M. Adegoke

Statistics in Transition New Series, Volume 20 , ISSUE 3, 119–132

Article | 09-April-2018

Development of Levenberg-Marquardt Method Based Iteration Square Root Cubature Kalman Filter ant its applications

Levenberg-Marquardt(abbr. L-M) method based iterative square root cubature Kalman filter (ISRCKFLM) is proposed to improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation error and nonlinearity of measurement equation. The measurement update of square root cubature Kalman filter (SRCKF) is transformed to the problem of nonlinear least square error, then we use L-M method to solve it and obtain the optimal state estimation and covariance, so the

Jing Mu, Changyuan Wang

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 2, 98–106

Research Article | 27-December-2017

Active Modeling Based Yaw Control of Unmanned Rotorcraft

With the characteristics of input nonlinearity, time-varying parameters and the couplings between main and tail rotor, it is difficult for the yaw dynamics of Rotorcraft to realize good tracking performance while maintaining stability and robustness simultaneously. In this paper, a new kind of robust controller design strategy based on active modeling technique is proposed to attenuate the uncertainties pre-described in the yaw control of unmanned systems. Firstly, by detailed analysis, the

Yan Peng, Wenqing Guo, Mei Liu, Shaorong Xie

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 380–399

Article | 07-May-2018

Levenberg-Marquardt Method Based Iterative Square Root Cubature Kalman Filter and its Applications to Maneuvering Re-entry Target Tracking

Levenberg-Marquardt (abbr.L-M) method based iterative square root cubature Kalman filter (abbr. ISRCKFLM) inherits the numerical stability of square root Cubature Kalman filter and effectively suppresses the influence of the larger initial estimation error and the nonlinearity of the measurement equation on the state estimation in the nonlinear state estimation due to obtaining the optimal state and variance estimates using the latest measurement through L-M method. We apply the ISRCKFLM

Mu Jing, Wang Changyuan

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 10–13

Article | 24-March-2018

REINFORCEMENT OF COMPOSITE PIPELINES FOR MULTIPURPOSE TRANSPORTATION

obtained while gluing glass fibers with butvar-phenolic glue. The calculated rupture strength coefficient of strip fiberglass reinforcement and the analysis of monolithic behaviour of metal and reinforcement proved the precondition as to the plasticity of a developed material. The process of force transmission between a steel pipe and fiberglass at ductile stage has been analyzed in the article. While forecasting the work of a pipe on-load, it is necessary to take into account nonlinearity of metal

Liudmyla TRYKOZ, Svetlana KAMCHATNAYA, Oksana PUSTOVOITOVA, Armen ATYNIAN

Transport Problems, Volume 13 , ISSUE 1, 69–79

Article | 06-November-2017

MODELING AND CONTROL OF BALL AND BEAM SYSTEM USING MODEL BASED AND NON-MODEL BASED CONTROL APPROACHES

The ball and beam system is a laboratory equipment with high nonlinearity in its dynamics. The aims of this research are to model the ball and beam system considering nonlinear factors and coupling effect and to design controllers to control the ball position. The LQR is designed considering two Degrees-of-Freedom and coupling dynamics. The parameters of the LQR are tuned using Genetic Algorithm (GA). Jacobian linearization method is used to linearize the system around operating-point. Due to

Mohammad Keshmiri, Ali Fellah Jahromi, Abolfazl Mohebbi, Mohammad Hadi Amoozgar, Wen-Fang Xie

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 1, 14–35

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