System Identification, Environmental Modelling, and Control System Design (eBook)

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.