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1. |
Record Nr. |
UNINA9910159658103321 |
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Autore |
Artaud Antonin |
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Titolo |
Pour en finir avec le jugement de dieu / / Antonin Artaud |
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Pubbl/distr/stampa |
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Copenhagen K., : SAGA Egmont, 2014 |
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ISBN |
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Edizione |
[Abridged.] |
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Descrizione fisica |
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1 online resource (1 audio file) : digital |
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Classificazione |
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Altri autori (Persone) |
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Soggetti |
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Nonfiction |
Performing Arts |
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Lingua di pubblicazione |
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Formato |
Audiolibro |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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" Pour en finir avec le jugement de dieu ", est une création radiophonique du poète français Antonin Artaud qui fut enregistrée dans les studios de la radio française entre le 22 et 29 novembre 19471. Cette création radiophonique était une commande de l'Office de radiodiffusion télévision française (ORTF) et fut censurée la veille de sa première diffusion, le 1er février 1948, par le directeur de la Radiodiffusion française. Les textes étaient lus par Maria Casarès, Roger Blin, Paule Thévenin et l'auteur. L'accompagnement était composé de cris, de battements de tambour et de xylophone enregistrés par l'auteur lui-même. |
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2. |
Record Nr. |
UNINA9910767556303321 |
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Autore |
Liu Zhenwei |
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Titolo |
Cooperative Control of Multi-agent Systems : A Scale-Free Protocol Design / / by Zhenwei Liu, Donya Nojavanzadeh, Ali Saberi |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (394 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 248 |
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Disciplina |
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Soggetti |
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Automatic control |
Dynamics |
Nonlinear theories |
Control and Systems Theory |
Applied Dynamical Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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