{"product_id":"9780128170793","title":"Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time","description":"Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses 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.\u003cp\u003e\u003c\/p\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.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e- Provide in-depth analysis of neural control models and methodologies\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e- Presents a comprehensive review of common problems in real-life neural network systems\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e- Includes an analysis of potential applications, prototypes and future trends","brand":"Elsevier Science \u0026 Technology Books","offers":[{"title":"Default Title","offer_id":46588950380785,"sku":"9780128170793","price":150.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9780128170793_p0.jpg?v=1765839204","url":"https:\/\/shop.barnesandnoble.com\/products\/9780128170793","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}