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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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Model Predictive Control

courses in model predictive control or more generally in advanced or process control and senior undergraduates in need of a specialized treatment;

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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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Predictive Control for Linear and Hybrid Systems

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented;

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Predictive Control for Linear and Hybrid Systems

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented;

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Robust Model Predictive Control

Model predictive control (MPC) is regarded as the prime advanced control method for a wide class of industrial processes and perhaps one;

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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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Model Predictive Control

and future challenges of model predictive control.;

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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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Low Complexity Model Predictive Control in Power Electronics and Power Systems

Low Complexity Model Predictive Control in Power Electronics and Power Systems is een boek van Cuvillier Verlag;

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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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Advanced Process Control

This book fills the gap between basic control configurations (Practical Process Control) and model predictive control (MPC). For those;

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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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Advanced and Optimization Based Sliding Mode Control

control and illustrate advanced algorithms and their applications to real problems. It presents systematic treatment of event-triggered and model;

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Predictive Control

This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis;

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Nonlinear Model Predictive Control

Over the past few years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to;

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Modern Predictive Control

basic concepts of systems, modeling, and predictive control, detailing development from classical MPC to synthesis approaches Explores;

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Modern Predictive Control

, modeling, and predictive control, detailing development from classical MPC to synthesis approaches Explores use of Model Algorithmic Control (MAC;

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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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Modeling and Modern Control of Wind Power

An essential reference to the modeling techniques of wind turbine systems for the application of advanced control methods This book;

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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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Tuning Parameters of Dynamic Matrix Control

Model predictive control (MPC) was developed to meet control challenges of Chemical Industries. With the passage of time, it has become the;

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Generalized Predictive Control And Bioengineering

perspective the generic nature of the architecture built around GPC and which provides model-based fault diagnosis with control.;

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Automotive Model Predictive Control

academia that the current state is not satisfactory. Model-based control could be an approach to improve performance while reducing development and;

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Nonlinear Model Predictive Control of Combustion Engines

This book provides an overview of the nonlinear model predictive control (NMPC) concept for application to innovative combustion engines;

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