Time-Varying Formation Tracking Control for Nonlinear Swarm Systems [electronic resource] / by Jianglong Yu, Xiwang Dong, Zhang Ren.
Tipo de material: TextoEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: X, 208 p. 84 illus., 71 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819928583Tema(s): Control engineering | Robotics | Automation | Computational intelligence | Control, Robotics, Automation | Computational IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8 Clasificación LoC:TJ212-225TJ210.2-211.495Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
Introduction -- Preliminaries -- Time-varying formation tracking control for nonlinear swarm system with matched nonlinearity -- Time-varying formation tracking control for high-order strict-feedback nonlinear swarm system with a noncooperative leader -- Time-varying formation tracking control for high-order strict-feedback nonlinear swarm system with multiple leaders -- Time-varying formation tracking control for underactuated nonlinear swarm system.
The book focuses on time-varying formation control approaches for practical nonlinear swarm systems. Time-varying formation control is the basic guarantee for performing other tasks of swarm systems, such as cooperative decision-making and cooperative detection. However, most practical swarm systems have nonlinear dynamic models. This book studies three typical models of practical nonlinear swarm systems, which represent most of the practical systems and construct the corresponding formation control structure. At the same time, the effects of disturbances, uncertain dynamics, random noise and unknown leader's input are considered and processed to improve the robustness and adaptability. The comprehensive and systematic treatment of practical nonlinear time-varying formation control issues is one of the major features of the book, which is particularly suited for readers who are interested to learn time-varying formation control solutions in nonlinear swarm systems. The book benefits researchers, engineers and graduate students in the fields of formation control, nonlinear control, robust control, etc.
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