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Nonlinear Lp-Norm Estimation

Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear LtandLo.-norm estimation problems, this important;

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Nonlinear Lp-Norm Estimation

Complete with valuable FORTRAN programs that help solve nondifferentiable nonlinear LtandLo.-norm estimation problems, this important;

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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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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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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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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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Nonlinear Estimation

Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses on a comprehensive treatment of deterministic;

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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 Time Series

semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data;

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Nonlinear Time Series

semiparametric estimation and specification methods and then applies these approaches to a class of nonlinear continuous-time models with real-world data;

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Estimation Problems in Hybrid Systems

, nonlinear systems. This book presents an effective, flexible family of estimation algorithms that can be used in estimating or controlling a variety;

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Estimation Problems in Hybrid Systems

, nonlinear systems. This book presents an effective, flexible family of estimation algorithms that can be used in estimating or controlling a variety;

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Radiation Risk Estimation

covers nonlinear measurement error models, with a particular emphasis on efficiency of regression parameter estimators. In the second part, risk;

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Advances in Nonlinear Dynamics and Control

This work presents overviews of Soviet research on nonlinear dynamics, particularly as applied to uncertain systems in a deterministic;

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Nonlinear Kalman Filtering for Force-Controlled Robot Tasks

-Controlled Robot Tasks discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan;

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Stable Adaptive Control And Estimation For Nonlinear Systems

* Includes a solution manual for problems.* Provides MATLAB code for examples and solutions.* Deals ;...

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Modelling Nonlinear Economic Time Series

-economic data. Since estimation of nonlinear time series models is carried out using numerical algorithms, the book contains a chapter on;

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Nonlinear and Adaptive Control Systems

An adaptive system for linear systems with unknown parameters is a nonlinear system. The analysis of such adaptive systems requires similar;

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Bayesian Estimation and Tracking

nonlinear dynamic systems driven by Gaussian and non-Gaussian noices. Featuring a unified approach to Bayesian estimation and tracking, the book;

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Nonlinear Estimation & Applications to Industrial Systems Control

This book analyses recent advances in non-linear state estimation and application of such estimation schemes to industrial systems control;

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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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Random Processes

, estimation, and detection of random processes in noisy environments are critical tasks necessary in the analysis and design of new communications;

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Nonlinear Statistical Modeling

selection models, (ii) nonparametric and semi-parametric approaches to qualitative and sample selection models, and (iii) nonlinear estimation;

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Limit Theorems For Nonlinear Cointegrating Regression

also investigates estimation and inference theory in nonlinear cointegrating regression.The core context of this book comes from the author and;

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

: Nonlinear Control Nonlinear Estimation and Control Optimization and Optimal Control Piezoelectric Actuation and Nanoscale Control Robotic;

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