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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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Advances in H Control Theory

switched systems with dwell-time; the control of retarded stochastic state-multiplicative noisy systems; and a new approach to the control;

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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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Linear and Non-Linear System Theory

, materials cover an introduction to the advanced topics in the field of linear and non-linear systems, optimal control and estimation supported by;

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Advances in Motion Sensing and Control for Robotic Applications

and state estimation to adaptive control of reconfigurable robots and more. Next-generation systems with advanced control, planning;

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Cyber-Physical Vehicle Systems

This book studies the design optimization, state estimation, and advanced control methods for cyber-physical vehicle systems (CPVS) and;

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Control of Self-Organizing Nonlinear Systems

international experts in the field. The first focus concerns recent methodological developments including control of networks and of noisy and time;

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Control of Self-Organizing Nonlinear Systems

international experts in the field. The first focus concerns recent methodological developments including control of networks and of noisy and time;

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Vehicle Dynamics and Control

Vehicle Dynamics and Control: Advanced Methodologies features the latest information on advanced dynamics and vehicle motion;

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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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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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Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots

researchers, engineers and students with a comprehensive overview of core modeling, control, estimation, and planning concepts and approaches for;

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Advanced Process Identification and Control

A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and;

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Advanced Process Identification and Control

A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and;

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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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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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Introduction to Discrete Event Systems

of supervisory control, overview of latest software tools This proven textbook is essential to advanced-level students and researchers in a variety;

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Cyber Security for Industrial Control Systems

strategy analysis, intrusion detection, secure state estimation and control, game theory in closed-loop systems, and various cyber security;

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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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State Estimation for Robotics

robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world;

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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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Networked Filtering and Fusion in Wireless Sensor Networks

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make;

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Networked Filtering and Fusion in Wireless Sensor Networks

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make;

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Optimal State Estimation

right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently;

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Linear Systems Theory

discipline that focuses on linear differential equations from the perspective of control and estimation. This updated second edition of Linear;

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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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