1.

Record Nr.

UNINA990006132910403321

Autore

Argentina

Titolo

Recensement agricole national l'elevage et l'agriculture en 1908 : recensement levé durant la presidence du José Figueroa Alcorta / par une commission composee de Albert B. Martinez

Pubbl/distr/stampa

Buenos Aires : Ateliers Typographiques, 1909

Descrizione fisica

3 v. ; 24 cm

Disciplina

310

Locazione

FGBC

Collocazione

LEG.FIORE XVI 1

Lingua di pubblicazione

Francese

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910983339503321

Autore

Zhang Juan

Titolo

Adaptive Collaborative Control of Multiagent Systems by Event-Triggered Mechanisms / / by Juan Zhang, Huaguang Zhang, Dongsheng Yang, Yanhong Luo, Bowen Zhou

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

9789819778669

9819778662

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (288 pages)

Collana

Intelligent Control and Learning Systems, , 2662-5466 ; ; 14

Altri autori (Persone)

ZhangHuaguang

YangDongsheng

LuoYanhong

ZhouBowen

Disciplina

629.8312

003

Soggetti

Automatic control

Control and Systems Theory

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa



Livello bibliografico

Monografia

Nota di contenuto

1. Overview of multi-agent systems -- 2. Consensus Control of Linear Multiagent Systems under Switching Networks -- 3: Consensus Control of Linear Multigent Systems under Communication Link Faults -- 4. Consensus Control of Nonlinear Multiagent Systems under Asynchronous Communication -- 5: Output Regulation of Multiagent Systems under Non-ideal environments.

Sommario/riassunto

This book provides a detailed study of several types of control problems in multi-agent systems, including consensus, output regulation, containment, and formation problems. The research on collaborative control of multi-agent systems has attracted engineers and scientists from various disciplines such as control, mathematics, artificial intelligence, and computer engineering. This book proposes a control strategy based on adaptive triggering mechanism and establishes a basic energy-saving framework; it also proposes an adaptive learning rate to replace fixed weights, ensuring that the proposed strategy does not rely on any global information of the communication topology and has scalability. This book is ideal for students, researchers, and engineers in collaborative control, wireless networks, power grids, UAVs, and more.