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1. |
Record Nr. |
UNINA9910986147303321 |
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Autore |
Yan Liang |
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Titolo |
Advances in Guidance, Navigation and Control : Proceedings of 2024 International Conference on Guidance, Navigation and Control (Volume 7) / / edited by Liang Yan, Haibin Duan, Yimin Deng |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (1095 pages) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1343 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Automatic control |
Robotics |
Automation |
Aerospace engineering |
Astronautics |
Telecommunication |
Control, Robotics, Automation |
Aerospace Technology and Astronautics |
Communications Engineering, Networks |
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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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Sommario/riassunto |
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This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircrafts. It covers a wide range of topics, including but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation and control, etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for |
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their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control. |
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2. |
Record Nr. |
UNINA9910564698003321 |
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Autore |
Clement Richard A. |
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Titolo |
Mathematical Tools for Neuroscience : A Geometric Approach / / by Richard A. Clement |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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9783030984953 |
9783030984946 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (168 pages) |
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Collana |
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Lecture Notes in Morphogenesis, , 2195-1942 |
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Disciplina |
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Soggetti |
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Biomathematics |
Sensorimotor cortex |
Computational neuroscience |
Biometry |
Mathematical and Computational Biology |
Sensorimotor Processing |
Computational Neuroscience |
Biostatistics |
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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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Sommario/riassunto |
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This book provides a brief but accessible introduction to a set of related, mathematical ideas that have proved useful in understanding the brain and behaviour. If you record the eye movements of a group of people watching a riverside scene then some will look at the river, some will look at the barge by the side of the river, some will look at |
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the people on the bridge, and so on, but if a duck takes off then everybody will look at it. How come the brain is so adept at processing such biological objects? In this book it is shown that brains are especially suited to exploiting the geometric properties of such objects. Central to the geometric approach is the concept of a manifold, which extends the idea of a surface to many dimensions. The manifold can be specified by collections of n-dimensional data points or by the paths of a system through state space. Just as tangent planes can be used to analyse the local linear behaviour of points on a surface, so the extension to tangent spaces can be used to investigate the local linear behaviour of manifolds. The majority of the geometric techniques introduced are all about how to do things with tangent spaces. Examples of the geometric approach to neuroscience include the analysis of colour and spatial vision measurements and the control of eye and arm movements. Additional examples are used to extend the applications of the approach and to show that it leads to new techniques for investigating neural systems. An advantage of following a geometric approach is that it is often possible to illustrate the concepts visually and all the descriptions of the examples are complemented by comprehensively captioned diagrams. The book is intended for a reader with an interest in neuroscience who may have been introduced to calculus in the past but is not aware of the many insights obtained by a geometric approach to the brain. Appendices contain brief reviews of the required background knowledge in neuroscience and calculus. |
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