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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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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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Distributed Control and Filtering for Industrial Systems

in distributed model predictive control for interconnected networked systems, methods for designing distributed linear quadratic controllers for various;

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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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Model Predictive Control

assumption of a linear model of the system. However, in some cases it is difficult to represent a given process using a linear model. Model;

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Model Predictive Control

algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization;

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Multiparametric Optimization and Control

programming and model-predictive control-from the linear quadratic regulator over hybrid systems to periodic systems and robust control. The;

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Distributed Cooperative Model Predictive Control of Networked Systems

This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication;

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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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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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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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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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Predictive Control for Spacecraft Rendezvous

brief presents several applications of model predictive control to rendezvous manoeuvres, including Ankersen zero-order-hold particular;

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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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Digital Control

of plants from measurements, as well as the transfer function approach to, and state space techniques for, control design.* Teaches the fundamentals;

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Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes

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 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 for Doubly-Fed Induction Generators and Three-Phase Power Converters

>Demonstrates how to simulate model predictive control using MATLAB and Simulink Presents information about hardware implementation to obtain;

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Metaheuristic Optimization for the Design of Automatic Control Laws

its model to be sufficiently simplified, when the designer has many constraints to take into account, or when the goal is not only to design a;

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Modern Predictive Control

exact modeling is impossible. The superiority of MPC is in its numerical solution. Usually, MPC is employed to solve a finite-horizon;

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Modern Predictive Control

exact modeling is impossible. The superiority of MPC is in its numerical solution. Usually, MPC is employed to solve a finite-horizon optimal;

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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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Modelling Optimization and Control of Biomedical Systems

patient model; control design for volatile anaesthesia; multiparametric model based approach to intravenous anaesthesia; hybrid model predictive;

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Portfolio Optimization

model to a linearly constrained model. Only requiring elementary linear algebra, the text begins with the necessary and sufficient conditions;

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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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Smart Rotor Modeling

Adaptive Trailing Edge Flaps for active load alleviation and provides an insight on the rotor aerodynamic, structural and control modeling. A novel;

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