{"product_id":"modeling-and-control-of-uncertain-nonlinear-systems-with-fuzzy-equations-and-z-number","title":"Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number","description":"\u003cp\u003e\u003cb\u003eAn original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThere are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. \u003ci\u003eModeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and\u003c\/i\u003e Z\u003ci\u003e-Number\u003c\/i\u003e presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations.\u003c\/p\u003e \u003cp\u003eThe first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with \u003ci\u003eZ\u003c\/i\u003e-numbers, and the numerical solution of fuzzy differential equations with \u003ci\u003eZ\u003c\/i\u003e-numbers. Using clear and accessible language to explain concepts and principles applicable to real-world scenarios, this book:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003ePresents the modeling and control of uncertain nonlinear systems with fuzzy equations and fuzzy differential equations\u003c\/li\u003e\n\u003cli\u003eIncludes an overview of uncertain nonlinear systems for non-specialists\u003c\/li\u003e\n\u003cli\u003eTeaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems development\u003c\/li\u003e\n\u003cli\u003eReinforces comprehension with illustrations, tables, examples, and simulations\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eModeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and\u003c\/i\u003e Z\u003ci\u003e-Number\u003c\/i\u003e is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Product","offer_id":54222359527768,"sku":"9781119491552","price":96.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781119491552__67c1f88ac1c38_ab2b254f-9ca0-479a-8bc2-62428aa25e93.jpg?v=1741160195","url":"https:\/\/agendabookshop.com\/products\/modeling-and-control-of-uncertain-nonlinear-systems-with-fuzzy-equations-and-z-number","provider":"Agenda Bookshop","version":"1.0","type":"link"}