Fuzzy-based NCTF control system of point-to-point (PTP) linear positioning system

Nominal characteristic trajectory following (NCTF) controller, which consists of an nominal characteristic trajectory (NCT) and a compensator, is a practical controller since its design is only based on a very simple open-loop experiment. The objective of the compensator in NCTF controller is to make an object motion follows the NCT and to end the motion at the origin. Its simplicity even more increased by the introduction of fuzzy compensator compared to trial and error original PI compensator. The proposed fuzzy compensator is practical since its all design parameters are based on NCT information and hardware specifications used; which are sensor resolution and actuator rated input; only. Trial and error or uncertain parameters value are completely eliminated. By using a linear positioning system, control performance of the proposed compensator and its robustness are examined experimentally using single axis linear positioning table. The results show that the proposed compensator is effective for the entire displacement range and able to force object motion as fast as determined by the NCT. Proposed compensator has consistently outperformed the PI and existed fuzzy compensators

Robust Control Design Based on Differential Evolution for Two-Mass System

This paper presents a robust control design based on constrained optimization using Differential Evolution (DE). The feedback controller is designed based on state space model of the plant considering structured uncertainty such that the closed-loop system would have maximum stability radius. A wedge region is assigned as a constraint for desired closed loop poles location. The proposed control technique is applied to a two-mass system that is known as benchmark problem for robust control design. The simulation results seem to be interesting in which the robustness performance is achieved in the presence of parameter variations of the plant

Profiling of Wavelength Biomarkers of Pure Meat Samples from Different Species Based on Fourier Transform Infrared Spectroscopy (FTIR) and PCA Techniques

Infrared spectroscopy (IR) has been known as an analytical method suitable for authenticity studies.  In particular, Fourier transform infrared (FTIR) spectroscopy can be used for qualitative and quantitative purposes. The main advantages of FTIR are high sensitivity, high energy throughput and excellent speed of spectral acquisition. Combined with computer and advanced chemometric software, FTIR can easily be used to manipulate spectral information.  Biomarkers such as DNA/RNA, proteins, metabolites, or a combination of profiles of several of these molecules are indicators that may be used to rapidly and easily detect the status and phase of biological processes. Thus biomarkers provide information about the status and phase of biological processes and their underlying particular traits. This study aims to investigate pig wavelength biomarkers against other pure samples of different types of meat based on Fourier Transform Infrared Spectroscopy (FTIR) and PCA techniques. Fat from four different animal meats (pig,chicken,beef, and lamb) were processed under different extraction conditions prior to FTIR and PCA analysis. Palm oil was used as control. Sixteen wavelenghts in accordance to type of fat and processing method were identified as spectral markers to differentiate pig, beef, lamb, and chicken fats, and palm oil. The spectral biomarkers identifying pig and chicken fats were quite similar, complicating the identification of samples containing said fats.       The biomarker wavelengths identified from the spectra of the four fats and  palm oil at position 1236 and 3007 cm-1 separated the four animal fats and palm oil at notable distances, indicating that these wavelength could be used to identify non-halal samples

Profiling of wavelength biomarkers of pure meat samples from different species based on Fourier transform infrared spectroscopy (FTIR) and PCA techniques

Infrared spectroscopy (IR) has been known as an analytical method suitable for authenticity studies. In particular, Fourier transform infrared (FTIR) spectroscopy can be used for qualitative and quantitative purposes. The main advantages of FTIR are high sensitivity, high energy throughput and excellent speed of spectral acquisition. Combined with computer and advanced chemometric software, FTIR can easily be used to manipulate spectral information. Biomarkers such as DNA/RNA, proteins, metabolites, or a combination of profiles of several of these molecules are indicators that may be used to rapidly and easily detect the status and phase of biological processes. Thus biomarkers provide information about the status and phase of biological processes and their underlying particular traits. This study aims to investigate pig wavelength biomarkers against other pure samples of different types of meat based on Fourier Transform Infrared Spectroscopy (FTIR) and PCA techniques. Fat from four different animal meats (pig,chicken,beef, and lamb) were processed under different extraction conditions prior to FTIR and PCA analysis. Palm oil was used as control. Sixteen wavelenghts in accordance to type of fat and processing method were identified as spectral markers to differentiate pig, beef, lamb, and chicken fats, and palm oil. The spectral biomarkers identifying pig and chicken fats were quite similar, complicating the identification of samples containing said fats. The biomarker wavelengths identified from the spectra of the four fats and palm oil at position 1236 and 3007 cm-1 separated the four animal fats and palm oil at notable distances, indicating that these wavelength could be used to identify non-halal samples

Comparison of black-grey-white box approach in system identification of a flight vehicle

Developing an autonomous flight control system for a fixed-wing unmanned aerial vehicle (UAV) requires the mathematical representation of the system dynamics which can be obtained through system identification, such as using white, grey or black box methods. In this paper, three system identification methods; white method modeling using Cook formulas which is used analytically to develop the linear-time-invariant model structure with the aerodynamic coefficients of the UAV extracted from Missile DATCOM computations at certain flight conditions, and two empirical mathematical models constructed from non-linear flight simulator defined as the Greyification of Black Box Model (B2G) and Direct Grey to White Linkage (G2W). The comparison shows that both empirical methods prove to be very instrumental to contrast and produce higher sense of engineering than the analytical one

Review on hand gesture recognition

The aim of this chapter is to present a review on the development of vision systems based on hand gesture. Vision-Based Human to Computer Interaction (HCI) systems has the ability of carrying a wealth of information in a natural way and at a low cost. Therefore hand recognition becomes a widely studied topic with a wide range of applications such as SL translators, gesture recognition for control, augmented reality, surveillance, medical image processing, and etc. Hand recognition with no constraint on the shape is an open issue because the human hand is a complex articulated object consisting of many connected parts and joints. Considering the global hand pose and each finger joint, human hand motion has roughly 27 degree offreedom (DOF

Synchronization and antisynchronization protocol design of chaotic nonlinear gyros: an adaptive integral sliding mode approach

A novel control protocol design, via integral sliding mode control with parameter update laws, for synchronization and desynchronization of a chaotic nonlinear gyro with unknown parameters is the focus of this work. The error dynamics of the actual system are substructured into nominal and uncertain parts to employ adaptive integral sliding mode (AISM) control. The uncertain parameters are estimated via devised adaptive laws. Then the disagreement dynamics are guided to origin via AISM control. The stabilizing controller is also designed in terms of nominal control along with a compensating component. The control and the parameter update laws are constructed to ensure the strictly negative derivative of a Lyapunov function. Graphical results related to synchronization, desynchronization, and chaos suppression are displayed to demonstrate the potential of the proposed control