03264nam 2200709 a 450 991096234130332120240513182838.097866129768039781282976801128297680X9789027287250902728725210.1075/la.173(CKB)2560000000049073(OCoLC)703433969(CaPaEBR)ebrary10443356(SSID)ssj0000474213(PQKBManifestationID)12187425(PQKBTitleCode)TC0000474213(PQKBWorkID)10449941(PQKB)10660811(MiAaPQ)EBC653596(Au-PeEL)EBL653596(CaPaEBR)ebr10443356(CaONFJC)MIL297680(DE-B1597)721450(DE-B1597)9789027287250(EXLCZ)99256000000004907320101118d2011 uy 0engurcn|||||||||txtrdacontentcrdamediacrrdacarrierThe verbal complex in subordinate clauses from medieval to modern German /Christopher D. Sapp1st ed.Amsterdam ;Philadelphia :John Benjamins Pub. Co.,2011.1 online resource (vii, 225 pages) illustrations, mapsLinguistik aktuell = Linguistics today ;v. 173Bibliographic Level Mode of Issuance: Monograph9789027255563 9027255563 Includes bibliographical references (p. [215]-222) and index.The Verbal Complex in Subordinate Clauses from Medieval to Modern German; Editorial page; Title page; LCC data; Table of contents; Acknowledgements; 1. Introduction; 2. Factors influencing verb order in MHG; 3. Factors influencing verb order in ENHG; 4. Verbal complexes in contemporary German; 5. German clause structure and the prosody-syntax interface; 6. Conclusions; Bibliography; Index; The series Linguistik Aktuell/Linguistics TodayThis research monograph is an empirical and theoretical study of clause-final verbal complexes in the history of German. The book presents corpus studies of Middle High German and Early New High German and surveys of contemporary varieties of German. These investigations of the verbal complex address not only the frequencies of the word orders, but also the linguistic factors that influence them. On that empirical basis, the analysis adopted is the classic verb-final approach, with alternative orders derived by Verb (Projection) Raising.Linguistik aktuell ;Bd. 173.German languageVerb phraseGerman languageSyntaxGrammar, Comparative and generalVerb phraseGerman languageVerb phrase.German languageSyntax.Grammar, Comparative and generalVerb phrase.435/.6GC 1783rvkSapp Christopher D1801353MiAaPQMiAaPQMiAaPQBOOK9910962341303321The verbal complex in subordinate clauses from medieval to modern German4346514UNINA04820nam 22006135 450 991076755630332120251008145225.03-031-12954-710.1007/978-3-031-12954-4(MiAaPQ)EBC7144537(Au-PeEL)EBL7144537(CKB)25456661100041(PPN)266351530(DE-He213)978-3-031-12954-4(OCoLC)1351751018(EXLCZ)992545666110004120221122d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierCooperative Control of Multi-agent Systems A Scale-Free Protocol Design /by Zhenwei Liu, Donya Nojavanzadeh, Ali Saberi1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (394 pages)Studies in Systems, Decision and Control,2198-4190 ;248Print version: Liu, Zhenwei Cooperative Control of Multi-Agent Systems Cham : Springer International Publishing AG,c2023 9783031129537 Includes bibliographical references.Introduction -- 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.This 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.Studies in Systems, Decision and Control,2198-4190 ;248Automatic controlDynamicsNonlinear theoriesControl and Systems TheoryApplied Dynamical SystemsAutomatic control.Dynamics.Nonlinear theories.Control and Systems Theory.Applied Dynamical Systems.629.8006.30285436Liu Zhenwei762832Nojavanzadeh DonyaSaberi AliMiAaPQMiAaPQMiAaPQBOOK9910767556303321Cooperative control of multi-agent systems3655537UNINA