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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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Predictive Control for Spacecraft Rendezvous

developments within guidance and control algorithms, with the aim of improving the efficiency, safety, and autonomy of these manoeuvres. The;

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Model Predictive Control

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic;

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Model Predictive Control

Predictive Control (MPC) is an optimal control approach which can effectively deal with constraints and multivariable processes in industries;

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Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks

This book presents the latest results on predictive control of networked systems, where communication constraints (e.g., network-induced;

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Predictive Control for Linear and Hybrid Systems

comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory;

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Predictive Control for Linear and Hybrid Systems

comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory;

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

based on the discretization of the physical models, which will appeal to readers who are more familiar with sampled-data control system. Soft;

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Model Predictive Control of High Power Converters and Industrial Drives

In this original book on model predictive control (MPC) for power electronics, the focus is put on high-power applications with multilevel;

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Predictive Control of Power Converters and Electrical Drives

converters and drives The book starts with an introduction to the subject before the first chapter on classical control methods for power converters;

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Generalized Predictive Control And Bioengineering

Predictive control is a powerful tool in dealing with those processes with large time delays. Generalized Predictive Control GPC is the;

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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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Recent Advances in Model Predictive Control

This book focuses on distributed and economic Model Predictive Control (MPC) with applications in different fields. MPC is one of the most;

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

predictive control techniques with modulator and finite control sets to squirrel cage induction motor and in doubly-fed induction generators using;

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Modern Predictive Control

of models for use with one- and two-step control. The author clearly explains the variations between predictive control methods-and the root;

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Modern Predictive Control

without a finite switching horizon This book gives researchers a variety of models for use with one- and two-step control. The author clearly;

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A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems

This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It;

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A Quadratic Constraint Approach to Model Predictive Control of Interconnected Sy

This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It;

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Adex Optimized Adaptive Controllers and Systems

Adaptive Control Systems is divided into six parts, with exercises and real-time simulations provided for the reader as appropriate. The text;

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Predictive Control

Predictive Control is aimed at students wishing to learn predictive control, as well as teachers, engineers and technicians of the;

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Predictive Filtering for Microsatellite Control System

filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing;

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Advanced and Optimization Based Sliding Mode Control

A compendium of the authors' recently published results, this book discusses sliding mode control of uncertain nonlinear systems, with a;

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Constrained Control and Estimation

of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on model predictive control. - New results;

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Non-centralized Optimization-Based Control Schemes for Large-Scale Energy Systems

, is solved by using methodologies in distributed optimization over time-varying networks, together with distributed model predictive control, and;

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Nonlinear Model Predictive Control

as receding horizon control or moving horizon control. More than 250 papers have been published in 2006 in ISI Journals. With this book we;

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Predictive Control in Process Engineering

Describing the principles and applications of single input, single output and multivariable predictive control in a simple and lively;

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Robust Model Predictive Control

framework of min-max control is studied in detail with specific emphasis upon the inherent trade-off between controller complexity and optimality;

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