{"id":16562,"date":"2016-09-14T12:23:17","date_gmt":"2016-09-14T12:23:17","guid":{"rendered":"http:\/\/www.takbook.com\/best\/system-identification-using-microcontroller-based-n-prbs-generator\/"},"modified":"2016-09-14T12:23:17","modified_gmt":"2016-09-14T12:23:17","slug":"system-identification-using-microcontroller-based-n-prbs-generator","status":"publish","type":"post","link":"https:\/\/www.takbook.com\/best\/system-identification-using-microcontroller-based-n-prbs-generator\/","title":{"rendered":"SYSTEM IDENTIFICATION USING MICROCONTROLLER-BASED N-PRBS GENERATOR"},"content":{"rendered":"
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\"SYSTEM<\/a><\/p>\n

SYSTEM IDENTIFICATION USING MICROCONTROLLER-BASED N-PRBS GENERATOR<\/a><\/h3>\n

System identification is dealing with dedicated experimental data to find a compact and accurate mathematical model of a dynamic system. The main goal of this paper is to present the system identification technique to yield a good transfer function of the actual plant. The steps start with hardware setup, data collection, model estimation, and eventually model validation. Based on input and output data of the system, best fit criterion, and correlation analysis of the residual is utilized to construct the sufficient model to represent the system. Identification of Single Input Single Output (SISO) transfer function is considered. The transfer function is parameterized as black box model. Resistance, Inductance, Capacitance (RLC) electrical circuit is taken into account as a black box…<\/p>\n

\u062c\u0632\u0626\u06cc\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \/ \u062f\u0627\u0646\u0644\u0648\u062f<\/a><\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

SYSTEM IDENTIFICATION USING MICROCONTROLLER-BASED N-PRBS GENERATOR System identification is dealing with dedicated experimental data to find a compact and accurate mathematical model of a dynamic system. The main goal of […]<\/p>\n","protected":false},"author":1,"featured_media":16563,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"amp_status":""},"categories":[67],"tags":[],"yoast_head":"\nSYSTEM IDENTIFICATION USING MICROCONTROLLER-BASED N-PRBS GENERATOR - \u067e\u0631\u0648\u0698\u0647 \u0647\u0627<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.takbook.com\/best\/system-identification-using-microcontroller-based-n-prbs-generator\/\" \/>\n<meta property=\"og:locale\" content=\"fa_IR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SYSTEM IDENTIFICATION USING MICROCONTROLLER-BASED N-PRBS GENERATOR - \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\" \/>\n<meta property=\"og:description\" content=\"SYSTEM IDENTIFICATION USING MICROCONTROLLER-BASED N-PRBS GENERATOR System identification is dealing with dedicated experimental data to find a compact and accurate mathematical model of a dynamic system. 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