Robotic Manipulators and Vehicles : Control, Estimation and Filtering / by Gerasimos Rigatos, Krishna Busawon.
By: Rigatos, Gerasimos, autor.
Contributor(s): SpringerLink (Online service)
| Busawon, Krishna, autor.
Material type:
E-bookSeries: (Studies in Systems, Decision and Control, 2198-4182; 152); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2018Description: 1 recurso en línea (XXXIV, 734 páginas).ISBN: 9783319778518.Subject: Sistemas de control no lineal
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA402.35 2018 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.15112446 |
Rigid-Link Manipulators: Model-Based Control -- Rigid-Link Manipulators: Model-Free Control -- Underactuated Robotic Manipulators -- Closed-Chain Robotic Systems and Mechanisms -- Flexible-Link Manipulators -- Automatic Ground Vehicles -- Unmanned Aerial Vehicles -- Unmanned Surface Vessels -- Autonomous Underwater Vessels -- Cooperating Autonomous Vehicles.
This monograph addresses problems of: • nonlinear control, estimation and filtering for robotic manipulators (multi-degree-of freedom rigid-link robots, flexible-link robots, underactuated, redundant and cooperating manipulators and closed-chain robotic mechanisms); and • nonlinear control, estimation and filtering for autonomous robotic vehicles operating on the ground, in the air, and on and under water, independently and in cooperating groups. The book is a thorough treatment of the entire range of applications of robotic manipulators and autonomous vehicles. The nonlinear control and estimation methods it develops can be used generically, being suitable for a wide range of robotic systems. Such methods can improve robustness, precision and fault-tolerance in robotic manipulators and vehicles at the same time as enabling the reliable functioning of these systems under variable conditions, model uncertainty and external perturbations. .
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