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Predictive Filtering for Microsatellite Control System

Predictive Filtering for Microsatellite Control Systems introduces technological design, modeling, stability analysis, predictive;

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Model Predictive Control

This monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal;

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The FLP Microsatellite Platform

the University. The book covers the essential information for ground operators to controls an FLP-based satellite applying international;

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Distributed Control and Filtering for Industrial Systems

Filtering for Industrial Systems provides an introduction to the control and filtering algorithms devised for distributed environments, with a;

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Filtering, Control and Fault Detection with Randomly Occurring Incomplete Information

for filtering, control and fault detection problem for various discrete-time nonlinear stochastic systems with randomly occurring incomplete;

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Model Predictive Control

Although industrial processes are inherently nonlinear, many contributions for controller design for those plants are based on the;

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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it;

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Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities

framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it;

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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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Model Predictive Control

techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The;

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PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

in selection of controller parameters and validation of the control system. Continuous-time model predictive control systems are designed for the;

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Predictive Control With Constraints

Model predictive control is an indispensable part of industrial control engineering and is increasingly the method of choice for advanced;

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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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Control Oriented Modelling & Identificat

to develop advanced mathematical models suitable for control system design, including: object-oriented modelling and simulation; projection;

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Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning;

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Predictive Control for Spacecraft Rendezvous

This brief addresses the design of model predictive control algorithms for performing space rendezvous manoeuvres. It consolidates;

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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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Predictive Control of Power Converters and Electrical Drives

Describes the general principles and current research into Model Predictive Control (MPC); the most up-to-date control method for power;

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Robust Control and Filtering for Time-Delay Systems

A discussion of robust control and filtering for time-delay systems. It provides information on approaches to stability, stabilization;

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Robust Control and Filtering for Time-Delay Systems

A discussion of robust control and filtering for time-delay systems. It provides information on approaches to stability, stabilization;

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Predictive Control for Linear and Hybrid Systems

Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects;

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Predictive Control for Linear and Hybrid Systems

Systems is an ideal reference for graduate, postgraduate and advanced control practitioners interested in theory and/or implementation aspects;

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Dynamic Systems with Time Delays Stability and Control

nonlinear system. Next, it investigates several control problems for dynamic systems with delays including H(infinity) control problem;

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Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model;

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Nonlinear Stochastic Control and Filtering with Engineering-Oriented Complexities

time-delay interval systems with nonlinear disturbances Investigates the robust stabilization and H control problems for a class;

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Nonlinear Stochastic Control and Filtering With Engineering-Oriented Complexities

interval systems with nonlinear disturbances Investigates the robust stabilization and H control problems for a class of stochastic time-delay;

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Tuning Parameters of Dynamic Matrix Control

work satisfactorily for long durations of time. DMC is available in all industrial process control systems and on a number of control;

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