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Model Reduction for Control System Design

practising control engineers and graduates for intelligent use of commercial software modules for model and controller reduction.;

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Model Reduction for Control System Design

practising control engineers and graduates for intelligent use of commercial software modules for model and controller reduction.;

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

control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates;

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

control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates;

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Model Reduction of Complex Dynamical Systems

kernel-based methods; surrogate modeling for design and optimization, with special emphasis on control and data assimilation; model reduction;

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System Reduction for Nanoscale IC Design

tasks in the design cycle. The goal is to develop and compare methods for system reduction in the design of high dimensional nanoelectronic ICs;

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System Reduction for Nanoscale IC Design

tasks in the design cycle. The goal is to develop and compare methods for system reduction in the design of high dimensional nanoelectronic;

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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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System Design and Control Integration for Advanced Manufacturing

. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and;

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Interpolatory Methods for Model Reduction

Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for;

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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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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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Computer-Aided Control Systems Design

engineering and a hands-on introduction to MATLAB and Simulink. It then discusses the analysis, model order reduction, and controller design for a;

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Computer-Aided Control Systems Design

engineering and a hands-on introduction to MATLAB and Simulink. It then discusses the analysis, model order reduction, and controller design for a;

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Linear Robust Control

Recent decades have witnessed enormous strides in the field of robust control of dynamical systems unfortunately, accounts of many;

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Membrane-Based Technologies for Environmental Pollution Control

systematic approach for accurately utilizing mathematical modeling methods for optimizing system design and scale-up. The book provides in-depth;

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Linear Control Theory

of model reduction via balanced realization aeo The employment of the L2 gain as a basis for the development of the H??? controller for the design;

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Robust Filtering and Fault Detection of Switched Delay Systems

in the analysis and control synthesis for switched delay systems, the monograph not only provides a systematic approach to designing the filter;

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Application Of Dimensional Analysis In Systems Modeling And

. Application of Dimensional Analysis in Systems Modeling and Control Design provides an introduction to the fundamentals of dimensional analysis for;

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Transient Characteristics Modelling and Stability Analysis of Microgrid

transient characteristics of converters with different control strategies, and proposes transient modelling and model reduction methods. Furthermore;

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Approximation of Large-Scale Dynamical Systems

, in the presence of limited computational accuracy and storage capabilities model reduction (system approximation) is often necessary;

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A First Course in Control System Design

systems technology. This book discusses control systems design from a model-based perspective for dynamic system models of single-input single;

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Model Free Adaptive Control

linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive;

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Model Free Adaptive Control

linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive;

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Model Predictive Control

Although industrial processes are inherently nonlinear, many contributions for controller design for those plants are based on the;

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Benchmark Models of Control System Design for Remotely Operated Vehicles

This book is intended to meet the needs of those who seek to develop control systems for ROVs when there is no model available during the;

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