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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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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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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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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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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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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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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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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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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

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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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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Explicit Nonlinear Model Predictive Control

Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process;

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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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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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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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Economic Model Predictive Control

present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important;

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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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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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Predictive Filtering for Microsatellite Control System

signal processing for spacecraft control systems Provides a series of latest results in, including but not limited to, nonlinear;

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Real-time Dynamic Simulation of Constrained Multibody Systems

efficient simulation of constrained multibody systems is addressed. The proposed approach is applied to the simulation of several mechanical systems;

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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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Analysis and Synthesis of Fuzzy Control Systems

. Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach offers a unique reference devoted to the systematic analysis and synthesis;

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Analysis and Synthesis of Fuzzy Control Systems

. Analysis and Synthesis of Fuzzy Control Systems: A Model-Based Approach offers a unique reference devoted to the systematic analysis and synthesis;

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