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This monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal;
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This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear;
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and future challenges of model predictive control.;
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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 is een boek van Cuvillier Verlag;
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techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The;
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Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model;
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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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Model predictive control is an indispensable part of industrial control engineering and is increasingly the method of choice for advanced;
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This book fills the gap between basic control configurations (Practical Process Control) and model predictive control (MPC). For those;
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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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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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basic concepts of systems, modeling, and predictive control, detailing development from classical MPC to synthesis approaches Explores;
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, modeling, and predictive control, detailing development from classical MPC to synthesis approaches Explores use of Model Algorithmic Control (MAC;
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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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perspective the generic nature of the architecture built around GPC and which provides model-based fault diagnosis with control.;
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Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented;
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Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented;
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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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Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug;
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This book provides elucidative information regarding Model Predictive Control (MPC). Model predictive control is that part of control;
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While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization;
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Predictive Control is aimed at students wishing to learn predictive control, as well as teachers, engineers and technicians of the;
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An essential reference to the modeling techniques of wind turbine systems for the application of advanced control methods This book;
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This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication;
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