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Nonlinear Filtering

This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to;

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Fundamentals of Nonlinear Digital Filtering

Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and evaluating current methods and applications;

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Fundamentals of Nonlinear Digital Filtering

Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and evaluating current methods and applications;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

Nonlinear Stochastic Control and Filtering with Engineering-oriented Complexities presents a series of control and filtering approaches for;

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Stochastic Processes & Filtering Theory

This unified treatment of linear and nonlinear filtering theory presents material previously available only in journals, and in terms;

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Nonlinear Control and Filtering Using Differential Flatness Approaches

This monograph presents recent advances in differential flatness theory and analyzes its use for nonlinear control and estimation. It shows;

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Predictive Filtering for Microsatellite Control System

of spacecrafts and nonlinear systems. Unifies existing and emerging concepts concerning predictive filtering theory, state estimation, and;

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Nonlinear Stochastic Systems with Network-Induced Phenomena

This monograph introduces methods for handling filtering and control problems in nonlinear stochastic systems arising from network-induced;

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Nonlinear Kalman Filtering for Force-Controlled Robot Tasks

This monograph focuses on how to achieve more robot autonomy by means of reliable processing skills. Nonlinear Kalman Filtering for Force;

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Nonlinear Digital Filtering with Python

Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a;

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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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Variance-Constrained Multi-Objective Stochastic Control and Filtering

phenomena. It establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic;

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Kalman Filtering: With Real-Time Applications

for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet;

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Kalman Filtering: With Real-Time Applications

for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet;

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Kalman Filtering

many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and;

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Robotic Manipulators and Vehicles

This monograph addresses problems of: * nonlinear control, estimation and filtering for robotic manipulators (multi-degree-of freedom;

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Optimal Filtering

of discrete-time signals. Additional subjects encompass applications in nonlinear filtering; innovations representations, spectral factorization, and;

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Nonlinear H-Infinity Control, Hamiltonian Systems and Hamilton-Jacobi Equations

A comprehensive overview of nonlinear H control theory for both continuous-time and discrete-time systems, Nonlinear H -Control;

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Nonlinear H-Infinity Control, Hamiltonian Systems and Hamilton-Jacobi Equations

A comprehensive overview of nonlinear H control theory for both continuous-time and discrete-time systems, Nonlinear H -Control;

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Nonlinear Stochastic Systems with Incomplete Information

Nonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem;

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Adaptive Filtering

algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters;

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Adaptive Filtering

algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters;

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Sequential Monte Carlo Methods for Nonlinear Discrete-Time Filtering

to the general nonlinear, non-Gaussian stochastic filtering problem and present particle filtering as a sequential Monte Carlo approach to;

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Computational Methods for Modeling of Nonlinear Systems by Anatoli Torokhti and Phil Howlett

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number;

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Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles

Nonlinear Kalman Filter for Multi-Sensor Navigation of Unmanned Aerial Vehicles covers state estimation development approaches for Mini-UAV;

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