001453336 000__ 06918cam\a2200601\i\4500 001453336 001__ 1453336 001453336 003__ OCoLC 001453336 005__ 20230314003346.0 001453336 006__ m\\\\\o\\d\\\\\\\\ 001453336 007__ cr\cn\nnnunnun 001453336 008__ 221125s2023\\\\sz\a\\\\ob\\\\000\0\eng\d 001453336 019__ $$a1351751018 001453336 020__ $$a9783031129544$$q(electronic bk.) 001453336 020__ $$a3031129547$$q(electronic bk.) 001453336 020__ $$z9783031129537 001453336 020__ $$z3031129539 001453336 0247_ $$a10.1007/978-3-031-12954-4$$2doi 001453336 035__ $$aSP(OCoLC)1351662744 001453336 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ$$dOCLCF 001453336 049__ $$aISEA 001453336 050_4 $$aTJ215.5 001453336 08204 $$a006.30285/436$$223/eng/20221215 001453336 1001_ $$aLiu, Zhenwei,$$eauthor. 001453336 24510 $$aCooperative control of multi-agent systems :$$ba scale-free protocol design /$$cZhenwei Liu, Donya Nojavanzadeh, Ali Saberi. 001453336 264_1 $$aCham :$$bSpringer,$$c[2023] 001453336 264_4 $$c©2023 001453336 300__ $$a1 online resource (xiii, 392 pages) :$$bilustrations (chiefly color). 001453336 336__ $$atext$$btxt$$2rdacontent 001453336 337__ $$acomputer$$bc$$2rdamedia 001453336 338__ $$aonline resource$$bcr$$2rdacarrier 001453336 4901_ $$aStudies in systems, decision and control ;$$vvolume 248 001453336 504__ $$aIncludes bibliographical references. 001453336 5050_ $$aIntro -- Acknowledgements -- Contents -- 1 Introduction -- 1.1 Cooperative Control of Multi-agent Systems -- 1.2 Outline -- 2 Notations and Preliminaries -- 2.1 Linear Algebra -- 2.2 Signal and System Norms -- 2.3 Graphs -- 2.4 Multi-agent Systems and Graphs -- 2.5 Passivity -- 2.5.1 Continuous-Time System -- 2.5.2 Discrete-Time System -- 3 Synchronization of Continuous-Time MAS -- 3.1 Problem Formulation -- 3.2 Scalable Output Synchronization -- 3.2.1 Architecture of the Protocol -- 3.2.2 Protocol Design -- 3.2.3 Special Case: Homogeneous MAS -- 3.3 Scalable Regulated Output Synchronization 001453336 5058_ $$a3.3.1 Architecture of the Protocol -- 3.3.2 Protocol Design -- 3.4 Numerical Examples -- 4 Synchronization of Discrete-Time MAS -- 4.1 Homogeneous MAS with Non-introspective Agents -- 4.1.1 Problem Formulation -- 4.1.2 Scalable State Synchronization -- 4.2 Heterogeneous MAS with Introspective Agents -- 4.2.1 Scalable Output Synchronization -- 4.2.2 Scalable Regulated Output Synchronization -- 4.3 Numerical Examples -- 5 Regulated State Synchronization of Homogeneous MAS in the Presence of Input Delays -- 5.1 Problem Formulation -- 5.2 Scalable Regulated State Synchronization 001453336 5058_ $$a5.2.1 Solvability Conditions -- 5.2.2 Protocol Design -- 5.2.3 Special Case: MAS with Full-State Coupling -- 5.3 Numerical Examples -- 5.3.1 Example 1: Continuous-Time MAS -- 5.3.2 Example 2: Discrete-Time MAS -- 6 State Synchronization of Homogeneous Continuous-Time MAS in the Presence of Nonuniform Communication Delays -- 6.1 Problem Formulation -- 6.2 Scalable State Synchronization -- 6.2.1 Solvability Condition and Protocol Design for Arbitrary Constant Reference Trajectory y Subscript r Baseline element of double struck upper R Superscript pyrinmathbbRp 001453336 5058_ $$a6.2.2 Necessary and Sufficient Solvability Conditions and Protocol Design -- 6.3 Numerical Examples -- 7 State Synchronization of Homogeneous Discrete-Time MAS in the Presence of Nonuniform Communication Delays -- 7.1 Problem Formulation -- 7.2 Scalable State Synchronization -- 7.3 Numerical Examples -- 8 Regulated Output Synchronization of Heterogeneous MAS in the Presence of Nonuniform Communication Delays -- 8.1 Problem Formulation -- 8.2 Scalable Regulated Output Synchronization -- 8.2.1 Architecture of the Protocol -- 8.2.2 Protocol Design -- 8.3 Numerical Examples 001453336 5058_ $$a8.3.1 Continuous-Time MAS -- 8.3.2 Discrete-Time MAS -- 9 Delayed Regulated Synchronization of Continuous-Time MAS in the Presence of Unknown, Non-uniform, and Arbitrarily Large Communication Delays -- 9.1 Homogeneous MAS with Non-introspective Agents -- 9.1.1 Problem Formulation -- 9.1.2 Scalable Delayed Regulated State Synchronization -- 9.2 Heterogeneous MAS with Introspective Agents -- 9.2.1 Problem Formulation -- 9.2.2 Scalable Delayed Regulated Output Synchronization -- 9.3 Numerical Examples -- 9.3.1 Example 1. Homogeneous MAS -- 9.3.2 Example 2. Heterogeneous MAS 001453336 506__ $$aAccess limited to authorized users. 001453336 520__ $$aThis monograph represents the outcome of research effort of the authors on scalable synchronization of large-scale multi-agent systems (MAS). Cooperative control of multi-agent systems has been growing in popularity and is highly interdisciplinary in recent years. The application of synchronization of MAS includes automobile systems, aerospace systems, multiple-satellite GPS, high-resolution satellite imagery, aircraft formations, highway traffic platooning, industrial process control with multiple processes, and more. Most of the proposed protocols in the literature for synchronization of MAS require some knowledge of the communication network such as bounds on the spectrum of the associated Laplacian matrix and the number of agents. These protocols suffer from scale fragility wherein stability properties are lost for large-scale networks or when the communication graph changes. In the past few years, the authors of this monograph have worked on developing scale-free protocol design for various cases of MAS problems. The key contribution of the monograph is to offer a scale-free design framework and provide scale-free protocols to achieve synchronization, delayed synchronization, and almost synchronization in the presence of input and communication delays, input saturation and external disturbances. The scale-free design framework solely is based on the knowledge of agent models and does not depend on information about the communication network such as the spectrum of the associated Laplacian matrix or size of the network. Drawing upon their extensive work in this area, the authors provide a thorough treatment of agents with higher-order dynamics, different classes of models for agents, and the underlying networks representing actions of the agents. The high technical level of their presentation and their rigorous mathematical approach make this monograph a timely and valuable resource that will fill a gap in the existing literature. 001453336 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 15, 2022). 001453336 650_0 $$aMultiagent systems. 001453336 650_0 $$aAutomatic control. 001453336 655_0 $$aElectronic books. 001453336 7001_ $$aNojavanzadeh, Donya,$$eauthor. 001453336 7001_ $$aSaberi, Ali,$$eauthor. 001453336 77608 $$iPrint version: $$z3031129539$$z9783031129537$$w(OCoLC)1334100823 001453336 830_0 $$aStudies in systems, decision and control ;$$vv. 248. 001453336 852__ $$bebk 001453336 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-12954-4$$zOnline Access$$91397441.1 001453336 909CO $$ooai:library.usi.edu:1453336$$pGLOBAL_SET 001453336 980__ $$aBIB 001453336 980__ $$aEBOOK 001453336 982__ $$aEbook 001453336 983__ $$aOnline 001453336 994__ $$a92$$bISE