{"product_id":"neural-networks-modeling-and-control-applications-for-unknown-nonlinear-delayed-systems-in-discrete-time-9780128170786","title":"Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time","description":"\u003cp\u003e • Author(s): Jorge D. Rios\u003cbr\u003e • Publisher: Academic Press\u003cbr\u003e • Publisher Imprint: Academic Press\u003cbr\u003e • BISAC: Biotechnology\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eNeural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time \u003c\/i\u003efocuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control.\u003c\/p\u003e \u003cp\u003eAs well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends.\u003c\/p\u003e","brand":"Academic Press","offers":[{"title":"Paperback","offer_id":45310126850199,"sku":"9780128170786","price":8694.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780128170786.webp?v=1769287097","url":"https:\/\/atlanticbooks.com\/products\/neural-networks-modeling-and-control-applications-for-unknown-nonlinear-delayed-systems-in-discrete-time-9780128170786","provider":"Atlantic Books","version":"1.0","type":"link"}