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Event-Based Control and Signal Processing

machine Event-based PID controllers Event-based state estimation Self-triggered and team-triggered control Event-triggered and time-triggered;

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Event-Based Control and Signal Processing

controllers Event-based state estimation Self-triggered and team-triggered control Event-triggered and time-triggered real-time architectures for;

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Event-Based State Estimation

This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation;

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Multisensor Fusion Estimation Theory and Application

. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV;

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators;

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Cyber-Physical Power Systems State Estimation

model state estimation and non-synchronized measurements system modelsPresents a novel, extended optimization, physics-based model;

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Control Theory of Digitally Networked Dynamic Systems

to tolerate time delays and packet loss brought about by the communication network. In event-based control the traditional periodic sampling;

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Distributed Event-Based Systems

This book provides an in-depth description of event-based systems, covering topics ranging from local event matching and distributed event;

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Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems

Rare event probability (10-4 and less) estimation has become a large area of research in the reliability engineering and system safety;

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Advances in State Estimation, Diagnosis and Control of Complex Systems

This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the;

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Advances in State Estimation, Diagnosis and Control of Complex Systems

This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the;

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Introduction to Discrete Event Systems

, discrete-event simulation, and concurrent estimation techniques. Topics and features: detailed treatment of automata and language;

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Cyber-Physical Vehicle Systems

. In Chapter 3, an Artificial-Neural-Network-based estimation method is studied for accurate state estimation of CPVS. In Chapter 4, a high-precision;

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Optimal State Estimation

A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best;

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Grid-Based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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Grid-based Nonlinear Estimation and Its Applications

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two;

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The Statistical Analysis of Recurrent Events

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;

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The Statistical Analysis of Recurrent Events

This book presents models and statistical methods for the analysis of recurrent event data. The authors provide broad, detailed coverage;

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Inference in Hidden Markov Models

range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of states;

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Power System State Estimation

Offering an up-to-date account of the strategies utilized in state estimation of electric power systems, this text provides a broad;

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Conditional Monte Carlo

of perturbation analysis based on the use of conditional expectation. The primary setting is discrete-event stochastic simulation. This book presents;

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Particle Filters for Random Set Models

This book discusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and;

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Control of Discrete-Event Systems

of discrete-event systems to more recent results. Special attention is given to results on supervisory control, state estimation and fault diagnosis;

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Synchronized Phasor Measurements for Smart Grids

, classification and localization in smart power grids; PMU-based vulnerability assessment of power systems; synchrophasor applications for load estimation;

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Computer Aided State Estimation of Electric Power Networks

Computer Aided State Estimation of Electric Power Networks is a fundamental introduction to the topic of state estimation at an advanced;

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State Estimation for Robotics

. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and other state variables. It;

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Robust Kalman Filtering for Signals and Systems With Large Uncertainties

The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to;

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