{"title":"Distributed Model Predictive Control Based on New Cooperative Optimization Strategy for Nonlinear Large Scale Uncertain Systems","authors":"A. Mirzaei, A. Ramezani","doi":"10.36478/ijssceapp.2020.1.17","DOIUrl":"https://doi.org/10.36478/ijssceapp.2020.1.17","url":null,"abstract":"Page No.: 1-17 Volume: 13, Issue 1, 2020 ISSN: 1997-5422 International Journal of Systems Signal Control and Engineering Application Copy Right: Medwell Publications Abstract: In this study two linear cooperative Distributed constrained Model Predictive Control (DMPC) approaches are proposed to control the uncertain nonlinear interconnected large scale systems. In these approaches a proposed novel cooperative optimization strategy is employed that its advantage is to improve the centralized global cost function of each local controllers which decreases the control efforts, cost function values and convergence time compared to typical cooperative DMPCs which is demonstrated via. simulation results of a typical nonlinear large scale system. In proposed approaches two reconstructed linear distributed constrained model predictive controllers; Distributed Extended Dynamic Matrix Control (DEDMC) and Adaptive Generalized Predictive Control (DAGPC) are presented to control the uncertain nonlinear large scale systems by compensation of the mismatch between linearized and nonlinear models. The advantage of proposed controllers is their less complexity compared to fully nonlinear DMPCs. In DEDMC, the mismatch between linearized and nonlinear models is considered as a disturbance and in DAGPC this mismatch is compensated using online identification of the linearized model. The typical linear algorithms like distributed DMC leads to an unstable closed-loop response if the reference trajectory is a little far from the equilibrium point while this problem will be partially solved using the proposed DEDMC and will be completely solved using the proposed DAGPC even if the reference trajectory is too far from the equilibrium point. The performance of proposed approaches are demonstrated through simulation of a typical uncertain nonlinear large scale system.","PeriodicalId":182507,"journal":{"name":"International Journal of Signal System Control and Engineering Application","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131050644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"QPSK Signal Formulation Model using MATLAB Software","authors":"Rakhimov Temurbek Omonboyevich","doi":"10.36478/ijssceapp.2019.21.25","DOIUrl":"https://doi.org/10.36478/ijssceapp.2019.21.25","url":null,"abstract":": Radiovision systems are used to control different objects in the radio signal. On nonconverging systems, the signals are in the form of alterations in the amplitude, frequency and phase. In impulsive systems, the signal is in the form of a radio impulsion sequence (amplitude, phase, frequency band) and the number of impulses sequentially. In the study, QPSK signals were analyzed using MATLAB program which analyzed the QPSK module simultaneously with QPSK signals. In addition, QPSK modular modeling is also considered.","PeriodicalId":182507,"journal":{"name":"International Journal of Signal System Control and Engineering Application","volume":"34 7-8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132433488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Efficient Technique of QRS Complex Detection of Electrocardiography Signal Based on Optimized Median Filter and Efficient Signal Reshaping","authors":"Raghad Wahab Mohammed Haider J. Abd","doi":"10.36478/ijssceapp.2019.13.20","DOIUrl":"https://doi.org/10.36478/ijssceapp.2019.13.20","url":null,"abstract":": Automatic detection of R-peak is changing into a prominent tool for automatizing the designation of significant cardiovascular components. R-wave peaks in electrocardiography is a major indicator of the cardiac dysfunction. Most of the R-wave peaks prospectors have great troubles owing to non-stationary attitude of the ECG signal. In our current research, a smart technique established on bases of median filter and an automated R-wave peaks detection technique has been proposed. First median filter approach is used to eliminate the base line from the ECG signal. Then an efficient signal reshaping with sequential steps was proposed to detect the QRS position. The efficiency of the proposed work has been tested on MIT-BIH arrhythmia database. The technique has also been applied to a real signal for patients with different heart diseases. The proposed technique showed better performance and faster detection compared to the latter techniques at the same time. Error rate detection is low 0.05%, Positive predictivity (P+) of 99.85% Sensitivity (Se) of 99.94% and an average F-score of 0.999 are accomplished for the suggested ECG detector which are superior to the former results.","PeriodicalId":182507,"journal":{"name":"International Journal of Signal System Control and Engineering Application","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129596916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Development of a PIC Microcontroller Based High Voltage Power Supply","authors":"M. Islam, A. Begum, H. Akhter, M. Begum","doi":"10.36478/ijssceapp.2019.26.29","DOIUrl":"https://doi.org/10.36478/ijssceapp.2019.26.29","url":null,"abstract":"Page No.: 26-29 Volume: 12, Issue 2, 2019 ISSN: 1997-5422 International Journal of Systems Signal Control and Engineering Application Copy Right: Medwell Publications Abstract: Design, development and simulation of a microcontroller based High Voltage Power Supply (HVPS) have been presented in this study. The HVPS consists of microcontroller (μC) based oscillator, transistor driver circuit, ferrite core High Voltage (HV) transformer and quadruple voltage multiplier circuit. The PIC16F84A μC with 20 MHz crystal generates 9.09 kHz, 96.36%D, 5 V signal which has been used as a input for transistor 2N2222A driver coupled with ferrite core HV transformer. Thereafter, the transformer’s secondary voltage has been multiplied by a quadrupler circuit. A multi-turn potentiometer would be used to control the output voltage to a required level. An assembly language program based on MPLAB IDE has been developed for generation of the oscillator signal. The complete High Voltage Power Supply (HVPS) has been designed and verified in Proteus 7.7 simulation platform.","PeriodicalId":182507,"journal":{"name":"International Journal of Signal System Control and Engineering Application","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126685701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maysoon Hashim Ismaail, Yahya Ali, Ali Kadhim Al-Janabi
{"title":"Design and Construction Smart Home System using RFID, FOSS and Mobile Application","authors":"Maysoon Hashim Ismaail, Yahya Ali, Ali Kadhim Al-Janabi","doi":"10.36478/ijssceapp.2019.8.12","DOIUrl":"https://doi.org/10.36478/ijssceapp.2019.8.12","url":null,"abstract":"","PeriodicalId":182507,"journal":{"name":"International Journal of Signal System Control and Engineering Application","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compression of the EMG Signals by Walsh-Hadamard Transform Associated with the Predictive Coding DPCM","authors":"A. Okassa, J. M. Ngono, P. Ele","doi":"10.36478/ijssceapp.2019.1.7","DOIUrl":"https://doi.org/10.36478/ijssceapp.2019.1.7","url":null,"abstract":"","PeriodicalId":182507,"journal":{"name":"International Journal of Signal System Control and Engineering Application","volume":"51 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124369343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}