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RLS Wiener Smoother from Randomly Delayed Observations in Linear Discrete-Time Systems

In this book, the new recursive least-squares (RLS) Wiener filter and fixed-point smoother are designed from randomly delayed observed;

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Horizons in Computer Science Research

environment for high performance many core accelerators; h-infinity recursive wiener fixed-interval smoother based on innovation approach in linear;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Discrete-Time Stochastic Sliding Mode Control Using Functional Observation

discrete-time stochastic systems. It details sliding-function designs for various categories of linear time-invariant systems and its application;

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Linear System Theory

Linear System Theory, Second Edition, outlines the basic theory of linear systems in a unified, accessible, and careful manner, with;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Optimal Filtering

students in such diverse areas as statistics, economics, bioengineering, and operations research.Topics include filtering, linear systems;

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Fourier Methods in Imaging

filters , including the inverse, matched, Wiener and Wiener-Helstrom filters. The final section examines applications of linear system models to;

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Discrete Time Signal Processing PNIE

theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and;

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Advances In Analysis And Control Of Time-delayed Dynamical Systems

Analysis and control of time-delayed systems have been applied in a wide range of applications, ranging from mechanical, control, economic;

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Analysis and Design of Delayed Genetic Regulatory Networks

This book offers an essential introduction to the latest advances in delayed genetic regulatory networks (GRNs) and presents cutting-edge;

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Systems and Signal Processing with MATLAB (R)

Most books on linear systems for undergraduates cover discrete and continuous systems material together in a single volume. Such books also;

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Signals And Systems

This text deals with signals, systems, and transforms, from their theoretical mathematical foundations to practical implementation;

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Fault Diagnosis for Linear Discrete Time-Varying Systems and Its Applications

This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes;

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Linear Systems and Signals

This book presents a comprehensive treatment of signals and linear systems at an introductory level. The text emphasizes the physical;

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Time-Delayed Chaotic Dynamical Systems

This book describes systematic design techniques for chaotic and hyperchaotic systems, the transition from one to the other, and their;

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Signals and Linear Systems

Unifies the various approaches used to characterize the interaction of signals with systems. Stresse;...

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Signal Processing and Linear Systems

This second edition contains much of the content of Linear Systems and Signals, Third Edition, by the same authors, with added chapters on;

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Linear Discrete-Time Systems

This book covers crucial lacunae of the linear discrete-time time-invariant dynamical systems and introduces the reader to their treatment;

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Linear Discrete-Time Systems

This book covers crucial lacunae of the linear discrete-time time-invariant dynamical systems and introduces the reader to their treatment;

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Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

reflects the state-of-the-art of the research area for handling randomly occurring incomplete information from three interrelated aspects;

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Linear Time-Invariant Systems, Behaviors and Modules

This book comprehensively examines various significant aspects of linear time-invariant systems theory, both for continuous-time and;

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Stochastic Modelling and Control

relation between input and output is (at least approximately) linear and where additive random dis- turbances are also present, so that the;

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Optimal Networked Control Systems with MATLAB

in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite;

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Optimal Networked Control Systems With MATLAB

in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite;

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Discrete-Time Higher Order Sliding Mode

means of a concept for an uncertain linear-time invariant system, as well as the behavior of the closed-loop system is analyzed. Moreover, the;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Considers the H state estimation problem for a class of discrete-time complex networks with probabilistic missing measurements and randomly;

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