Isbn: 9789812389190 - bio-inspired emergent control of locomotion systems: 48 (12 risultati)

Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Hardcover. Condizione: Very Good. Condizione sovraccoperta: Very Good. Has some light general reading/shelfwear - otherwise this is a clean, tight copy. Quick dispatch from the UK. Book.

Condizione: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: First ] Publisher: World Scientific Publishing Company Pub Date: 6/29/2004 Binding: Hardcover Pages: 210 First edition.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Brand New. illustrated edition. 212 pages. 9.00x6.25x0.50 inches. In Stock.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. In English.

Condizione: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | This book deals with locomotion control of biologically inspired robots realized through an analog circuital paradigm as cellular nonlinear networks. It presents a general methodology for the control of bio-inspired robots and several case studies, as well as describes a new approach to motion control and the related circuit architecture.Bio-inspired Emergent Control of Locomotion Systems provides researchers with a guide to the fundamentals of the topics. Moreover, neuro-biologists and physiologists can use the book as a starting point to design artificial structures for testing their biological hypotheses on the animal model.…

Gebunden. Condizione: New. KlappentextrnrnThis book deals with locomotion control of biologically inspired robots realized through an analog circuital paradigm as cellular nonlinear networks. It presents a general methodology for the control of bio-inspired robots and sev.