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Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems

problem. Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems: A Practical Approach provides a broad up-to-date view;

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Analysis and Approximation of Rare Events

analysis of importance sampling and splitting schemes for rare event estimation. The book assumes a solid background in weak convergence;

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Space Program Management

, technically complex space programs both in the government and commercial environment. Chapters address both systems and configuration management, the;

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Uncertainty in Engineering

statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability theory and simulation methods for;

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Predictive Filtering for Microsatellite Control System

filtering, state estimation problem and real-time operation of spacecraft control systems in aerospace engineering. The book gives a systematically;

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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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Aerospace Navigation Systems

navigation methods based on up-to-date inertial, satellite, map matching and other guidance techniques. Ranging from the practical to the theoretical;

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Decentralized Estimation and Control for Multisensor Systems

Decentralized Estimation and Control for Multisensor Systems explores the problem of developing scalable, decentralized estimation and;

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Aerospace Sensors

Aerospace craft operate in three dimensional space, and thus must control for complex motions and dynamics. They also have challenging;

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Modern Simulation And Modeling

Integrates references and explanations of complex topics into the body of the text Provides an innovative chapter on rare-event probability;

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Rare Event Simulation using Monte Carlo Methods

particle transport in physics. Graduate students, researchers and practitioners who wish to learn and apply rare event simulation techniques will;

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Proceedings of the International Conference on Aerospace System Science and Engi

, held on 14-16 July 2020 as virtual event due to COVID-19. It provides a forum for experts in aeronautics and astronautics to share new ideas;

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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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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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Applied State Estimation and Association

A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics;

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Advances in Aerospace Guidance, Navigation and Control

scientific and technical excellence in the fields of Guidance, Navigation and Control (GNC) in aerospace and other fields of technology. The;

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Single Event Effects in Aerospace

This book introduces the basic concepts necessary to understand Single Event phenomena which could cause random performance errors and;

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Contextual Approach to Quantum Formalism

probabilistic model and its quantum-like representation in complex Hilbert spaces in other fields (e.g. in cognitive science and psychology) are;

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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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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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Filtering and System Identification

Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design;

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Filtering and System Identification

Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design;

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Multisensor Fusion Estimation Theory and Application

This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four;

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Computational Methods for Nonlinear Dynamical Systems

book introduces global estimation methods and local computational methods for nonlinear dynamic systems. Starting from the classic asymptotic;

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Adaptive Filtering Prediction and Control

estimation, and adaptive prediction and control. The second part examines stochastic systems, exploring optimal filtering and prediction, parameter;

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