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A Generalized Framework of Linear Multivariable Control

A Generalized Framework of Linear Multivariable Control proposes a number of generalized models by using the generalized inverse of matrix;

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Advanced Process Identification and Control

analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized;

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Advanced Process Identification and Control

analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized;

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Linear Multivariable Control Systems

on course-tested material, this textbook is ideal for a single or two-semester graduate course on linear multivariable control systems;

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Linear and Nonlinear Multivariable Feedback Control

Feedback Control presents a highly original, unified control theory of both linear and nonlinear multivariable (also known as multi-input multi;

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Linear Robust Control

control. After a brief introductory chapter, the text proceeds to examinations of multivariable frequency response design, signals and;

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Multivariable Dual-Range Linear Controller Design For Nonlinear System

It is always a concern of control system designers with regards to the type of controller used to stabilize and control the dynamic;

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Stability and Control of Linear Systems

applications, the content is presented within a strong theoretical framework and with a solid mathematical background, and the reference models are;

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Linear Multivariable Control

control systems. It also serves as a self-contained treatise of the mathematical theory so that results and techniques of the state space;

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Robust Multivariable Flight Control

a versatile framework for the application of advanced multivariable control theory to aircraft control problems. Two design case studies are;

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Oracls

This book describes a computational system for designing linear feedback control laws and filters for linear time-variant multivariable;

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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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Generalized Linear Mixed Models

generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big;

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An Introduction to Generalized Additive Models with R

splines, and builds a well-grounded foundation through motivating chapters on linear and generalized linear models. While firmly focused on the;

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Fractional-Order Control Systems

This book explains the essentials of fractional calculus and demonstrates its application in control system modeling, analysis and design;

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Multivariable Feedback Control

Multivariable Feedback Control: Analysis and Design, Second Edition presents a rigorous, yet easily readable, introduction to the analysis;

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Multivariable Feedback Control Analysis

Multivariable Feedback Control: Analysis and Design , Second Edition presents a rigorous, yet easily readable, introduction to the analysis;

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Multivariate Generalized Linear Mixed Models Using R

members of the family of generalized linear models, gradually adding complexity to the modeling framework by incorporating random effects. After;

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Sensors in Bioprocess Control

This volume presents the reader with an overview of current chemical sensor technology and outlines a framework relating industrial;

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Design of Linear Multivariable Feedback Control Systems

This book contains a derivation of the subset of stabilizing controllers for analog and digital linear time-invariant multivariable;

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Design of Linear Multivariable Feedback Control Systems

This book contains a derivation of the subset of stabilizing controllers for analog and digital linear time-invariant multivariable;

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Sensors in Bioprocess Control

This volume presents the reader with an overview of current chemical sensor technology and outlines a framework relating industrial;

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Multivariable Mathematics

Multivariable Mathematics combines linear algebra and multivariable mathematics in a rigorous approach. The material is integrated to;

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Methods of Algebraic Geometry in Control Theory

of relevant material is included here. Part I, Scalar Linear Systems and Affine Algebraic Geometry, contains a clear presentation, with an applied;

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Differential-algebraic Equations

systems to general nonlinear systems. Further sections on control problems, generalized inverses of differential algebraic operators, generalized;

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Optimal Impulsive Control

substantial body of optimal impulsive control theory. At the same time, they present optimal impulsive control theory in a unified framework;

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Generalized Solutions of Operator Equations and Extreme Elements

the application of a priori estimations and a general topological approach to construct generalized solutions of linear and nonlinear operator;

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