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Blind Identification of Structured Dynamic Systems

This book is intended for researchers active in the field of (blind) system identification and aims to provide new identification ideas;

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Blind Equalization and System Identification

common characteristics of these algorithms as well as learning from their different perspectives. Blind Equalization and System Identification;

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Low overhead Communications in IoT Networks

book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind;

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Low overhead Communications in IoT Networks

book provides an overview of four general structured signal processing models: a sparse linear model, a blind demixing model, a sparse blind;

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Low Rank Approximation

of polynomial time-invariant systems; and* blind identification with deterministic input model. The book is complemented by a software implementation;

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Dynamic Economic Systems

. Structured into 5 main topics, the main purpose of 'Dynamic Economics Systems 'is to present arguments for this contention and to start developing;

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Dynamic Economic Systems

. Structured into 5 main topics, the main purpose of 'Dynamic Economics Systems 'is to present arguments for this contention and to start developing;

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Nonlinear System Identification by Haar Wavelets

In order to precisely model real-life systems or man-made devices, both nonlinear and dynamic properties need to be taken into account. The;

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Modeling and Analysis of Dynamic Systems

Modeling and Analysis of Dynamic Systems, Third Edition introduces MATLAB (R), Simulink (R), and Simscape (TM) and then utilizes them to;

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The Speaker Identification Ability of Blind and Sighted Listeners

Almut Braun carried out forensic phonetic speaker identification experiments (voice lineups) with 306 lay listeners. Blind listeners;

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Iterative Identification and Control

An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models. The;

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Business Information Technology Management

Organisations are information intensive systems, operating in dynamic and competitive markets, structured around complex physical and;

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Business Information Technology Management

Organisations are information intensive systems, operating in dynamic and competitive markets, structured around complex physical and;

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Combined Parametric-Nonparametric Identification of Block-Oriented Systems

This book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class;

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Iterative Identification and Control

An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models;

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Proceedings of the ASME 2013 Dynamics Systems and Control Conference-(DSCC2013)

Concentrates on control methods and devices, from servomechanisms and regulators to automatic controls, for dynamic systems involving;

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Neural Network Modeling and Identification of Dynamical Systems

Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network;

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Mechatronic Systems

Mechatronic Systems introduces these developments by considering the dynamic modelling of components together with their interactions. The;

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Print Proceedings of the ASME 2017 10th Annual Dynamic Systems and Control Conference (DSCC2017)

Printed collection of 86 full-length, peer-reviewed technical papers. Topics include: Mechatronics; Estimation and Identification;

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Extremal Fuzzy Dynamic Systems

In this book the author presents a new approach to the study of weakly structurable dynamic systems. It differs from other approaches by;

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The Handbook of Logistics And Distribution Management

sections on warehouse receipt and dispatch. Also contains an thorough explanation of new technologies such as radio frequency identification (RFID;

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Industrial Control Systems

identification, modelling, and compensation methods for feed drive motions of CNC machine tools; MPC (Model Predictive Control) control algorithms for;

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Optimization in Engineering Sciences

and Hopfield networks. The book examines optimization in relation to systems identification; optimization of dynamic systems with particular;

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Signals and Control Systems

of useful tools is selected for the automatic and signal processing and methods of representation of dynamic linear systems are exposed, and;

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Regularized System Identification

This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to;

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Subspace Methods for System Identification

An in-depth introduction to subspace methods for system identification in discrete-time linear systems thoroughly augmented with advanced;

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Dynamic Modeling And Predictive Control In Solid Oxide Fuel

which in turn requires a detailed modelling of process dynamics. Introducting state-of-the-art dynamic modelling, estimation, and control;

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