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1. |
Record Nr. |
UNINA990004053100403321 |
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Autore |
Hayman, Ronald |
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Titolo |
Artaud and after / Ronald Hayman |
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Pubbl/distr/stampa |
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Oxford : Oxford University press, 1977 |
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ISBN |
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Descrizione fisica |
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XV, 189 p., [8] c. di tav. ; 20 cm |
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Disciplina |
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Locazione |
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Collocazione |
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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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2. |
Record Nr. |
UNINA9910812814903321 |
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Autore |
Church Audrey P. <1957-> |
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Titolo |
Tapping into the skills of 21st-century school librarians : a concise handbook for administrators / / Audrey P. Church |
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Pubbl/distr/stampa |
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Lanham, Maryland : , : Rowman & Littlefield, , 2016 |
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©2016 |
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ISBN |
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Descrizione fisica |
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1 online resource (129 p.) |
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Disciplina |
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Soggetti |
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School librarians - United States |
School librarians - Professional relationships - United States |
School librarian participation in curriculum planning - United States |
School libraries - United States - Administration |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Librarian as teacher -- Librarian as instructional partner -- Librarian as information specialist -- Librarian as instructional leader -- Librarian as program administrator -- Challenges and benefits -- Final thoughts : you have the power! -- Appendix A. List of state virtual libraries -- Appendix B. Sample job description, title: school librarian, AASL -- Appendix C. Principal's taxonomy of library media programs / David V Loertscher. |
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Sommario/riassunto |
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This concise handbook provides an overview of the roles of the 21st-century school librarian-teacher, instructional partner, information specialist, instructional leader, and program administrator. A valuable and informative resource, it gives principals the information they need to know in order to utilize the library program and librarian to the fullest potential to contribute to the instructional program of the school. |
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3. |
Record Nr. |
UNINA9910484216903321 |
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Autore |
Zhang Yinyan |
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Titolo |
Deep Reinforcement Learning with Guaranteed Performance : A Lyapunov-Based Approach / / by Yinyan Zhang, Shuai Li, Xuefeng Zhou |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (xvii, 225 pages) : illustrations |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 265 |
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Disciplina |
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Soggetti |
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Automatic control |
Robotics |
Computational intelligence |
System theory |
Control theory |
Automation |
Control and Systems Theory |
Computational Intelligence |
Systems Theory, Control |
Control, Robotics, Automation |
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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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A Survey of Near-Optimal Control of Nonlinear Systems -- Near-Optimal Control with Input Saturation -- Adaptive Near-Optimal Control with Full-State Feedback -- Adaptive Near-Optimal Control Using Sliding Mode -- Model-Free Adaptive Near-Optimal Tracking Control -- Adaptive Kinematic Control of Redundant Manipulators -- Redundancy Resolution with Periodic Input Disturbance. |
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Sommario/riassunto |
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This book discusses methods and algorithms for the near-optimal adaptive control of nonlinear systems, including the corresponding theoretical analysis and simulative examples, and presents two innovative methods for the redundancy resolution of redundant manipulators with consideration of parameter uncertainty and periodic disturbances. It also reports on a series of systematic investigations on a near-optimal adaptive control method based on the Taylor expansion, neural networks, estimator design approaches, and the idea of sliding mode control, focusing on the tracking control problem of nonlinear systems under different scenarios. The book culminates with a presentation of two new redundancy resolution methods; one addresses adaptive kinematic control of redundant manipulators, and the other centers on the effect of periodic input disturbance on redundancy resolution. Each self-contained chapter is clearly written, making the book accessible to graduate students as well as academic and industrial researchers in the fields of adaptive and optimal control, robotics, and dynamic neural networks. |
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