LEADER 04820nam 22006135 450 001 9910767556303321 005 20251008145225.0 010 $a3-031-12954-7 024 7 $a10.1007/978-3-031-12954-4 035 $a(MiAaPQ)EBC7144537 035 $a(Au-PeEL)EBL7144537 035 $a(CKB)25456661100041 035 $a(PPN)266351530 035 $a(DE-He213)978-3-031-12954-4 035 $a(OCoLC)1351751018 035 $a(EXLCZ)9925456661100041 100 $a20221122d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCooperative Control of Multi-agent Systems $eA Scale-Free Protocol Design /$fby Zhenwei Liu, Donya Nojavanzadeh, Ali Saberi 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (394 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v248 311 08$aPrint version: Liu, Zhenwei Cooperative Control of Multi-Agent Systems Cham : Springer International Publishing AG,c2023 9783031129537 320 $aIncludes bibliographical references. 327 $aIntroduction -- Notations and Preliminaries -- Synchronization of Continuous-Time MAS -- Synchronization of Discrete-Time MAS -- Regulated State Synchronization of Homogeneous MAS in the Presence of Input Delays -- State Synchronization of Homogeneous Continuous-Time MAS in the Presence of Nonuniform Communication Delays -- State Synchronization of Homogeneous Discrete-Time MAS in the Presence of Nonuniform Communication Delays -- Regulated Output Synchronization of Heterogeneous MAS in the Presence of Nonuniform Communication Delays -- Delayed Regulated Synchronization of Continuous-Time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays -- Delayed Regulated Synchronization of Discrete-time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays. 330 $aThis monograph represents the outcome of research effort of the authors on scalable synchronization of large-scale multi-agent systems (MAS). Cooperative control of multi-agent systems has been growing in popularity and is highly interdisciplinary in recent years. The application of synchronization of MAS includes automobile systems, aerospace systems, multiple-satellite GPS, high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Most of the proposed protocols in the literature for synchronization of MAS require some knowledge of the communication network such as bounds on the spectrum of the associated Laplacian matrix and the number of agents. These protocols suffer from scale fragility wherein stability properties are lost for large-scale networks or when the communication graph changes. In the past few years, the authors of this monograph have worked on developing scale-free protocol design for various cases of MAS problems. The key contribution of the monograph is to offer a scale-free design framework and provide scale-free protocols to achieve synchronization, delayed synchronization, and almost synchronization in the presence of input and communication delays, input saturation and external disturbances. The scale-free design framework solely is based on the knowledge of agent models and does not depend on information about the communication network such as the spectrum of the associated Laplacian matrix or size of the network. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing actions of the agents. The high technical level of their presentation and their rigorous mathematical approach make this monograph a timely and valuable resource that will fill a gap in the existing literature. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v248 606 $aAutomatic control 606 $aDynamics 606 $aNonlinear theories 606 $aControl and Systems Theory 606 $aApplied Dynamical Systems 615 0$aAutomatic control. 615 0$aDynamics. 615 0$aNonlinear theories. 615 14$aControl and Systems Theory. 615 24$aApplied Dynamical Systems. 676 $a629.8 676 $a006.30285436 700 $aLiu$b Zhenwei$0762832 702 $aNojavanzadeh$b Donya 702 $aSaberi$b Ali 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767556303321 996 $aCooperative control of multi-agent systems$93655537 997 $aUNINA