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Constrained Control and Estimation

Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying;

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Stochastic Control and Filtering over Constrained Communication Networks

Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies;

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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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Real-Time PDE-Constrained Optimization

Many engineering and scientific problems in design, control, and parameter estimation can be formulated as optimization problems that are;

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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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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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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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Introduction to Process Control

applications of dynamic programming; and applications to estimation, design, control, and planning. Each section of the book will include end;

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Advanced Control For Constrained Processes And Systems

part is devoted to multivariable constrained control problems: improving system decoupling under different plant or controller constraints, and;

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Optimal State Estimation

filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and;

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Control Grid Motion Estimation for Efficient Application of Optical Flow

continue to grow, that expense becomes more and more costly. Control grid motion estimators based on optical flow can accomplish motion estimation;

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Cloud Control Systems

Cloud Control Systems: Analysis, Design and Estimation introduces readers to the basic definitions and various new developments in the;

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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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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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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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Advanced Control for Vehicle Active Suspension Systems

sensitive to. The book also contains nonlinear constrained tracking control via terminal sliding-mode control and adaptive robust theory, presenting;

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Principles and Applications of RELAX

The multiple signal demixing and parameter estimation problems that result from the impacts of background noise and interference are issues;

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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 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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Constrained Statistical Inference

inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order;

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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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Frontiers in Pde-Constrained Optimization

second part of this volume focuses on the application of PDE-constrained optimization, including problems in optimal control, optimal design, and;

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Self-Learning Control of Finite Markov Chains

for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies;

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Self-Learning Control of Finite Markov Chains

for both unconstrained and constrained finite Markov chains-efficiently processing new information by adjusting the control strategies;

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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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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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