{"product_id":"artificial-neural-networks-for-modelling-and-control-of-non-linear-systems-von-b-l-de-moor-johan-a-k-suykens-joos-p-l-vandewalle","title":"Artificial Neural Networks for Modelling and Control of Non-Linear Systems","description":"Artificial neural networks possess several properties that make  them particularly attractive for applications to modelling and control  of complex non-linear systems. Among these properties are their  universal approximation ability, their parallel network structure and  the availability of on- and off-line learning methods for the  interconnection weights. However, dynamic models that contain neural  network architectures might be highly non-linear and difficult to  analyse as a result. Artificial Neural Networks for Modelling  and Control of Non-Linear Systems investigates the subject  from a system theoretical point of view. However the mathematical  theory that is required from the reader is limited to matrix calculus,  basic analysis, differential equations and basic linear system theory.  No preliminary knowledge of neural networks is explicitly required.    The book presents both classical and novel network architectures and  learning algorithms for modelling and control. Topics include  non-linear system identification, neural optimal control, top-down  model based neural control design and stability analysis of neural  control systems. A major contribution of this book is to introduce  NLq Theory as an extension towards modern control theory,  in order to analyze and synthesize non-linear systems that contain  linear together with static non-linear operators that satisfy a sector  condition: neural state space control systems are an example.  Moreover, it turns out that NLq Theory is unifying with respect  to many problems arising in neural networks, systems and control.  Examples show that complex non-linear systems can be modelled and  controlled within NLq theory, including mastering chaos.   The didactic flavor of this book makes it suitable for use as a text  for a course on Neural Networks. In addition, researchers and  designers will find many important new techniques, in particular  NLqTheory, that have applications in control theory,  system theory, circuit theory and Time Series Analysis.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9780792396789\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781441951588\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Hardcover - 9780792396789","offer_id":50828721158,"sku":"9780792396789","price":160.49,"currency_code":"EUR","in_stock":true},{"title":"Softcover - 9781441951588","offer_id":39415517315165,"sku":"9781441951588","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/80b3c67e-2cfc-40a0-95a0-ed33c4cce37f.jpg?v=1782533561","url":"https:\/\/shop.autorenwelt.de\/products\/artificial-neural-networks-for-modelling-and-control-of-non-linear-systems-von-b-l-de-moor-johan-a-k-suykens-joos-p-l-vandewalle","provider":"Autorenwelt Shop","version":"1.0","type":"link"}