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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 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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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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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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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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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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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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Model Predictive Control

and future challenges of model predictive control.;

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Model-Based Control Of Networked Systems

This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents;

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Model Based Fuzzy Control

Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules;

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Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems

. In closing, the VES concept and methodology are used to assess the stability of multiple model adaptive control (MMAC) systems and T-S model-based;

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Virtual Equivalent System Approach for Stability Analysis of Model based Control

. In closing, the VES concept and methodology are used to assess the stability of multiple model adaptive control (MMAC) systems and T-S model-based;

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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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Underwater Vehicles Design and Applications

vehicle dynamics. The authors investigate the performances of different control schemes, from non-model-based to model-based and adaptive model;

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Distributed Cooperative Control and Communication for Multi agent Systems

rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The;

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Distributed Cooperative Control and Communication for Multi agent Systems

rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The;

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Advanced Control of Piezoelectric Micro Nano Positioning Systems

control strategies: hysteresis-model-based feedforward control and hysteresis-model-free feedback control based on and free from state observation;

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Process Dynamics, Modeling, and Control

quality control, and model based control.;

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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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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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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some;

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Advanced and Optimization Based Sliding Mode Control

based event-triggered sliding mode control schemes, including schemes in combination with model predictive control, and presents adaptive;

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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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Control Oriented Modelling & Identificat

-based model reduction techniques; integrated modelling and parameter estimation; identification for robust control of complex systems; subspace;

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