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

control alongside novel approaches of MPC. Mathematical modeling of cited systems, MPC theory, their applications, MPC design and simulation;

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Predictive Control of Power Converters and Electrical Drives

of industrial machines and predictive control of permanent magnet synchronous motors. Design and implementation issues of model predictive control;

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Economic Model Predictive Control

This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear;

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Model Predictive Control

and future challenges of model predictive control.;

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Practical Design and Application of Model Predictive Control

Practical Design and Application of Model Predictive Control is a self-learning resource on how to design, tune and deploy an MPC using;

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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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Modelling Optimization and Control of Biomedical Systems

Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug;

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Nonlinear Industrial Control Systems

feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB (R) toolbox that;

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Process Operational Safety and Cybersecurity

of sensor cyber-attacks for nonlinear systems; insight into theoretical and practical issues associated with the design of control systems for;

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Predictive Control for Linear and Hybrid Systems

generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors;

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Predictive Control for Linear and Hybrid Systems

generally, linear hybrid systems. Drawing upon years of practical experience and using numerous examples and illustrative applications, the authors;

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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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Generalized Predictive Control And Bioengineering

most popular approach to the subject, and this text discusses the application of GPC starting with the concept of long-range predictive control;

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

drives and power supplies, and operational constraints are imposed in the design. Discrete-time model predictive control systems are designed;

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Model Predictive Control

; sample problems; and discussion of novel control applications such as resource allocation for sustainable development and turbine-blade;

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Predictive Control

and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development;

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Model Free Adaptive Control

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a;

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Model Free Adaptive Control

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a;

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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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Adex Optimized Adaptive Controllers and Systems

This book is a simple and didactic account of the developments and practical applications of predictive, adaptive predictive, and optimized;

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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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Automotive Model Predictive Control

tuning times and possibly costs. Model predictive control is a kind of model-based control design approach which has experienced a growing;

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Nonlinear Model Predictive Control of Combustion Engines

control applications. Nonlinear Model Predictive Control of Combustion Engines targets engineers and researchers in academia and industry;

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Nonlinear Model Predictive Control of Combustion Engines

control applications. Nonlinear Model Predictive Control of Combustion Engines targets engineers and researchers in academia and industry;

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