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Model Predictive Control

-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights;

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Model-Based Control

Model-Based Control will be a collection of state-of-the-art contributions in the field of modelling, identification, robust control and;

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Process Dynamics, Modeling, and Control

quality control, and model based control.;

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators;

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Model Predictive Control

and future challenges of model predictive control.;

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Techniques of Model-Based Control

A comprehensive introduction to the concepts, techniques, and applications of model-based process control that presents the process control;

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Model-Based Tracking Control of Nonlinear Systems

Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive;

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Model-Based Tracking Control of Nonlinear Systems

Model-Based Control of Nonlinear Systems presents model-based control techniques for nonlinear, constrained systems. It covers constructive;

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Model Based Process Control

Presented at this workshop were mathematical models upon which process control is based and the practical applications of this method;

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Learning-Based Adaptive Control

active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems;

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Synthesis and Operability Strategies for Computer-Aided Modular Process Intensification

and control. Advanced operability analysis, inherent safety analysis, and model-based control strategies developed in the community;

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Tensor Product Model Transformation in Polytopic Model-Based Control

Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying;

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Model-Based Fault Diagnosis Techniques

mathematical and control-theoretic tools. This second edition of Model-Based Fault Diagnosis Techniques contains: * new material on fault isolation;

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Modelling Optimization and Control of Biomedical Systems

; sensitivity analysis & model reduction; multi-parametric programming and model predictive control; estimation techniques; physiologically-based;

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Fuzzy Model Identification

model-based design. The main motivation for the heuristics-based design is given by the fact that many industrial processes are still controlled;

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Advanced Process Control and Simulation for Chemical Engineers

also provides unique topics, such as using a unified approach to model representations, statistical quality control, and model-based control;

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Advanced Process Control and Simulation for Chemical Engineers

and also provides unique topics, such as using a unified approach to model representations, statistical quality control, and model-based;

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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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Process Operational Safety and Cybersecurity

: machine-learning-based modeling of nonlinear dynamical systems for model predictive control; a framework for detection and resilient control;

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Holistic Business Model Transformation

design views is based on the higher-level operational control loop principle within the MITO model segments shown in Figure 1. Whereby the;

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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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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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Model-based Nonlinear Control of Aeroengines

This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Simulation and Testing for Vehicle Technology

The book includes contributions on the latest model-based methods for the development of personal and commercial vehicle control devices;

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Univariate and Multivariate Statistical Process Control

offers the developments and analyses of univariate and multivariate control charts, which are based on a generalized likelihood ratio (GLR;

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