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An Engineering Approach to Optimal Control and Estimation Theory

Optimal control and optimal estimation are methods used to estimate unknown variables such as velocity and altitude, and are essential to;

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Continuous Time Dynamical Systems

, Continuous Time Dynamical Systems: State Estimation and Optimal Control with Orthogonal Functions, considers different classes of systems with;

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Linear and Non-Linear System Theory

Linear and Non-Linear System Theory focuses on the basics of linear and non-linear systems, optimal control and optimal estimation with an;

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Optimal Control and Estimation

"An excellent introduction to optimal control and estimation theory and its relationship with LQG design. . . . invaluable as a reference;

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Acoustic Echo and Noise Control

methods to control echo and noise Develops a statistical theory for optimal control parameters and presents practical estimation and approximation;

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Optimal and Robust Estimation

today's high-performance systems. A Classic Revisited Optimal and Robust Estimation: With an Introduction to Stochastic Control Theory, Second;

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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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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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Estimation Problems in Hybrid Systems

Developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid;

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Estimation Problems in Hybrid Systems

Developments in sensor and processor sophistication have created a need for effective estimation and control algorithms for hybrid;

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Optimal Control of Stochastic Difference Volterra Equations

. In particular, it contrasts the difference analogues of solutions to optimal control and optimal estimation problems for stochastic integral Volterra;

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Multisensor Fusion Estimation Theory and Application

parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering;

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Optimal Control of Energy Resources for State Estimation Over Wireless Channels

estimation error covariance. The resulting power control problems are often stochastic control problems which take into account both system and;

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Stochastic Control and Filtering over Constrained Communication Networks

on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal;

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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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Applied Linear Optimal Control Paperback with CD-ROM

in utilizing the theory of optimal control to solve practical problems in the face of uncertainty. Topics covered include random inputs and random;

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Optimal State Estimation

-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a;

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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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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems

Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems begins with an introduction and extensive literature survey;

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Variational Methods

The Purcell three-link swimmer: some geometric and numerical aspects related to periodic optimal controls Controllability of Keplerian motion;

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Modelling Optimization and Control of Biomedical Systems

Systems covers: mathematical modelling of drug delivery systems; model analysis, parameter estimation, and approximation; optimization and control;

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Synchronized Phasor Measurements for Smart Grids

The use of advanced technologies has made it possible to transform the power grid to an intelligent smart grid with real time control and;

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Dynamic Estimation and Control of Power Systems

Dynamic estimation and control is a fast growing and widely researched field of study that lays the foundation for a new generation;

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CONTROLO 2016

theoretical nature, are distributed among the first five parts: Control Theory; Optimal and Predictive Control; Fuzzy, Neural and Genetic Control;

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CONTROLO 2016

theoretical nature, are distributed among the first five parts: Control Theory; Optimal and Predictive Control; Fuzzy, Neural and Genetic Control;

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Optimal Estimation Of Parameters

capacity estimator. This approach allows the optimal estimation of real-valued parameters, their number and intervals, as well as providing common;

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Uncertain Optimal Control

This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value;

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