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MATLAB control systems engineering /

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pérez López, César (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress, 2014.
Colección:MATLAB solutions series.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Machine generated contents note: ch. 1 Introducing MATLAB and the MATLAB Working Environment
  • Introduction
  • Developing Algorithms and Applications
  • Data Access and Analysis
  • Data Visualization
  • Numerical Calculation
  • Publication of Results and Distribution of Applications
  • MATLAB Working Environment
  • Help in MATLAB
  • ch. 2 Variables, Numbers, Operators and Functions
  • Variables
  • Vector Variables
  • Matrix Variables
  • Character Variables
  • Numbers
  • Integers
  • Functions of Integers and Divisibility
  • Alternative Bases
  • Real Numbers
  • Functions with Real Arguments
  • Complex Numbers
  • Functions with Complex Arguments
  • Elementary Functions that Support Complex Vector Arguments
  • Elementary Functions that Support Complex Matrix Arguments
  • Random Numbers
  • Operators
  • Arithmetic Operators
  • Relational Operators
  • Logical Operators
  • Logical Functions
  • ch. 3 Control Systems
  • Introduction to Control Systems
  • Control System Design and Analysis: The Control System Toolbox
  • Construction of Models
  • Analysis and Design
  • Graphical Analysis of Models Using the LT1 Viewer
  • Analysis of Models Using the Command Line
  • Compensator Design Using the SISO Design Tool
  • Compensator Design Using the Command Line
  • Control System Toolbox Commands
  • LTI Model Commands
  • Model Feature Commands
  • Model Conversion Commands
  • Commands for Reduced Order Models
  • Commands Related to State-Spaces
  • Commands for Dynamic Models
  • Commands for interconnecting Models
  • Response Time Commands
  • Frequency Response Commands
  • Pole Location Commands
  • LOG Design Commands
  • Commands for Solving Equations
  • ch. 4 Robust Predictive Control
  • Predictive Control Strategies: The Model Predictive Control Toolbox
  • ID Commands
  • Information Matrix Plotting Commands
  • Model Conversion Commands
  • Model Building Commands
  • MPC Mod Format
  • Control Design and Simulation Commands
  • MPC Step Format
  • Control Design and Simulation Commands
  • MPC Mod Format
  • Script Analysis Commands
  • Robust Control Systems: The Robust Control Toolbox
  • Optional Data Structure System Commands
  • Modeling Commands
  • Model Conversion Commands
  • Utility Commands.