System identification, environmental modelling, and control system design

System Identification, Environmetric Modelling, and Control Systems Design is dedicated to Professor Peter Young on the occasion of his seventieth birthday. Professor Young has been a pioneer in systems and control, and over the past 45 years he has influenced many developments in this field. This v...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Άλλοι συγγραφείς: Wang, Liuping (Επιμελητής έκδοσης), Garnier, Hugues, 19..-...., auteur en automatique (Επιμελητής έκδοσης)
Μορφή: Livre numérique
Γλώσσα:Français
Έκδοση: London : Springer London [20..].
Cham : Springer Nature
Έκδοση:1st ed. 2012.
Θέματα:
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Σημείωση: L'édition impr. comporte 672 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• System Identification, Environmental Modelling, and Control System Design, Texte imprimé, 9781447158455
• System identification, environmental modelling, and control system design, Liuping Wang, Hugues Garnier, London, Springer-Verlag, 2012, 1 Vol.(XXVII-645 p.), 978-0-8572-9973-4
• System Identification, Environmental Modelling, and Control System Design, Texte imprimé, 9780857299758
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505 1 |a Data-Based Mechanistic Modelling  A Minimum Distortion Nonlinear Filtering Approach to System Identification at Fast Sampling Rates  How Accurate Can Instrumental Variable Models Become? - Averaging Analysis of Adaptive Algorithms Made Simple  Identifiability and Beyond  Graphs for Dependence and Causality in Multivariable Time Series  Optimal refined instrumental variable methods for identification of LPV output-error and box Jenkins models  An IV based Iterative Linear Regression Algorithm with Optimal Output Error Properties  Box-Jenkins Seasonal Models  On Estimating Transfer Functions with Non-linearities in the Input  State Dependent Regressions and Smoothing Spline ANOVA Models  Error and Uncertainty in the Structure of a Model: a Philosophical Perspective  Problems with Parametric Models  Multi-state Dependence Parameter Model Identification and Estimation System Identification in Phloem Physiology Teaching Modelling and Hydrological Concepts using IHACRES-TAMBO  Removal of Resuscitation Artifacts from Human ECG Signals Construction of Radial Basis Function Networks with Diversified Topologies State Dependent Parameter Models and Control Iterative Learning Control: Engineering and Human Centered Applications  Event-driven Predictive Control with Constraints  Linear Non-minimal State Space Control An Operational Application of DBM Catchment Modelling for Real-time Flood Forecasting Analyzing the Complexity of Hydrologic Systems using a Data-based Mechanistic Approach  Modelling and Analysis of Environmental Systems without Time-series Data The Identification and Control Challenges of Water Resource Managementon a Basin Scale Application of Optimal Non-stationary Time Series Analysis to Water Quality and Pollutant Transport Modelling  Modelling Strategies for Prediction of the Effects of Land Use and Land Management Change Bayesian Total Error Analysis in Hydrological Modelling Modelling for Control Design of Rivers Advances in Integrated Planning and Management of Water Quantity and Quality in Lakes and Reservoirs  Application of the Aggregated Dead Zone Model of Fluvial Transport of Solutes to Large Rivers  Chaos Theory for Modelling Environmental Systems: Philosophy and Pragmatism  Dynamic Data-based Modelling as basis for Controlling and Understanding Biological Systems  Electrical Demand Modeling and Forecast using State Dependent Parameter Models. 
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520 |a System Identification, Environmetric Modelling, and Control Systems Design is dedicated to Professor Peter Young on the occasion of his seventieth birthday. Professor Young has been a pioneer in systems and control, and over the past 45 years he has influenced many developments in this field. This volume is comprised of a collection of contributions by leading experts in system identification, time-series analysis, environmetric modelling and control system design modern research in topics that reflect important areas of interest in Professor Young s research career. Recent theoretical developments in and relevant applications of these areas are explored treating the various subjects broadly and in depth. The authoritative and up-to-date research presented here will be of interest to academic researcher in control and disciplines related to environmental research, particularly those to with water systems. The tutorial style in which many of the contributions are composed also makes the book suitable as a source of study material for graduate students in those areas. 
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