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1. |
Record Nr. |
UNINA9910793586103321 |
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Autore |
Grant Thomas D. <1969-> |
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Titolo |
International law and the post-Soviet space . II Essays on Ukraine, intervention, and non-prolifieration / / Thomas D. Grant |
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Pubbl/distr/stampa |
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Stuttgart, Germany : , : ibidem-Verlag, , [2019] |
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©2019 |
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ISBN |
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Descrizione fisica |
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1 online resource (535 pages) |
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Disciplina |
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Soggetti |
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International law - Russia (Federation) |
International law - Former Soviet republics |
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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. |
UNINA9911019147103321 |
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Autore |
Pintelon R (Rik) |
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Titolo |
System identification : a frequency domain approach / / Rik Pintelon, Johan Schoukens |
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Pubbl/distr/stampa |
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Hoboken, N.J., : John Wiley & Sons, 2012 |
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ISBN |
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9786613651617 |
9781280674686 |
1280674687 |
9781118287415 |
111828741X |
9781118287422 |
1118287428 |
9781118287392 |
1118287398 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (790 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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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 indexes. |
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Nota di contenuto |
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Preface to the First Edition -- -- Preface to the Second Edition -- -- Acknowledgments -- -- List of Operators and Notational Conventions -- List of Symbols -- List of Abbreviations -- Chapter 1 An Introduction to Identification -- Chapter 2 Measurement of Frequency Response Functions - Standard Solutions -- Chapter 3 Frequency Response Function Measurements in the Presence of Nonlinear Distortions -- Chapter 4 Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements -- Chapter 5 Design of Excitation Signals -- Chapter 6 Models of Linear Time-Invariant Systems -- Chapter 7 Measurement of Frequency Response Functions - The Local Polynomial Approach -- Chapter 8 An Intuitive Introduction to Frequency Domain Identification -- Chapter 9 Estimation with Know Noise Model -- Chapter 10 Estimation with Unknown Noise Model - Standard Solutions -- Chapter 11 Model Selection and Validation -- Chapter 12 Estimation with Unknown Noise Model - The Local |
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Polynomial Approach -- Chapter 13 Basic Choices in System Identification -- Chapter 14 Guidelines for the User -- Chapter 15 Some Linear Algebra Fundamentals -- Chapter 16 Some Probability and Stochastic Convergence Fundamentals -- Chapter 17 Properties of Least Squares Estimators with Deterministic Weighting -- Chapter 18 Properties of Least Squares Estimators with Stochastic Weighting -- Chapter 19 Identification of Semilinear Models -- Chapter 20 Identification of Invariants of (Over) Parameterized Models -- References -- Subject Index -- Author Index -- About the Authors |
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Sommario/riassunto |
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System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering.Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high??lights many of the important steps in the identification process, points out the possible pitfalls to the reader, and illustrates the powerful tools that are available.Readers of this Second Editon will benefit from:. MATLAB software support for identifying multivariable systems that is freely available at the website http://booksupport.wiley.com. State-of-the-art system identification methods for both time and frequency domain data. New chapters on non-parametric and parametric transfer function modeling using (non-)period excitations. Numerous examples and figures that facilitate the learning process. A simple writing style that allows the reader to learn more about the theo??retical aspects of the proofs and algorithmsUnlike other books in this field, System Identification, Second Edition is ideal for practicing engineers, scientists, researchers, and both master's and PhD students in electrical, mechanical, civil, and chemical engineering. |
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3. |
Record Nr. |
UNINA9910161648703321 |
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Autore |
Guillaume T. Vallet |
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Titolo |
Dynamics of Sensorimotor Interactions in Embodied Cognition |
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Pubbl/distr/stampa |
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Descrizione fisica |
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1 online resource (148 p.) |
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Collana |
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Frontiers Research Topics |
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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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We interact with our environment through perception and action. Perception is based on sensory components while actions are based on motor components. It is commonly accepted that these sensorimotor components constitute the foundation of knowledge (i.e., percepts and concepts), action and emotion. However, whether or not these components remain part of knowledge, action and emotion is still being debated (see Glenberg, Witt, & Metcalfe, 2013). According to the classical symbolic/abstracted approach of cognition, cognitive processes operate on symbols that are abstracted from these components. Reversely, embodied cognition theory states that knowledge, action and emotion remain grounded in these sensorimotor components (see Wilson, 2002). This embodiment revolution assumes that the interactions between present and absent -but simulated in memory- sensory-motor components determine the emergence of knowledge, action and emotion (Barsalou, 2008). It also implies that perception, memory (in particular conceptual knowledge), action and emotion interact together in a closer way that previously thought (e.g. Riou, Lesourd, Brunel & Versace, 2011; Corveleyn, Lopez-Moliner & Coello, 2012; Vermeulen et al., 2013). Despite the accumulation of empirical evidence showing that perception, memory, action and emotion interact together, less is known about the dynamics of these interactions. It remains to precise the temporal dynamic (when these interactions occur), the neural underlying networks, and the factors |
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that modulate these interactions. The present research topic focuses on the dynamic relationship between present and absent sensorimotor components across perception, memory, action and emotion in a grounded cognition perspective. This research topic aims 1) to demonstrate the validity of the embodied cognition theories 2) to highlight the dynamics of emergence of conceptual knowledge, action and emotion 3) to provide a comprehensive state-of-the-art theoretical explanation and/or models. |
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