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1. |
Record Nr. |
UNINA9910452026503321 |
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Autore |
Ferrell Robyn <1960-> |
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Titolo |
Copula [[electronic resource] ] : sexual technologies, reproductive powers / / Robyn Ferrell |
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Pubbl/distr/stampa |
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Albany, : State University of New York Press, c2006 |
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ISBN |
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0-7914-8177-8 |
1-4294-1353-0 |
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Descrizione fisica |
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1 online resource (191 p.) |
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Collana |
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SUNY series in gender theory |
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Disciplina |
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Soggetti |
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Sex role - Philosophy |
Feminist theory |
Motherhood - Philosophy |
Electronic books. |
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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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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references (p. 163-172) and index. |
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Nota di contenuto |
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The maternal in its natural habitat -- Brave new world -- Reproducing technology -- Conceiving of feminism -- Feminism is a kind of time -- The lore of the father -- The figure of the copula -- The body as material event -- The technology of genre. |
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2. |
Record Nr. |
UNINA9910906301403321 |
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Autore |
Levanony David |
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Titolo |
Stochastic Lagrangian Adaptation / / by David Levanony, Peter E. Caines |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (81 pages) |
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Collana |
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SpringerBriefs in Mathematics, , 2191-8201 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Stochastic processes |
Stochastic Systems and Control |
Processos estocàstics |
Anàlisi estocàstica |
Llibres electrònics |
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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 contenuto |
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Introduction -- Problem Statement -- Asymptotic Maximum Likelihood Identification -- Geometric Results -- Lagrangian Adaptation -- Proof of Theorem 5.2 -- Index. |
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Sommario/riassunto |
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This book introduces a cutting-edge continuous time stochastic linear quadratic (LQ) adaptive control algorithm for fully observed linear stochastic systems with unknown parameters. The adaptive estimation algorithm is engineered to drive the maximum likelihood estimate into the set of parameters representing the true closed-loop dynamics. By incorporating a performance monitoring feature, this approach ensures that the estimate converges to the true system parameters. Concurrently, it delivers optimal long-term LQ closed-loop performance. This groundbreaking work offers a significant advancement in the field of stochastic control systems. |
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