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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress,
2014.
|
| Colección: | MATLAB solutions series.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Pérez López, César, |e author. | |
| 245 | 1 | 0 | |a MATLAB control systems engineering / |c César Pérez López. |
| 264 | 1 | |a Berkeley, CA : |b Apress, |c 2014. | |
| 264 | 2 | |a New York, NY : |b Distributed to the Book trade worldwide by Springer | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource (viii, 161 pages) : |b illustrations | ||
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| 490 | 1 | |a MATLAB Solutions Series | |
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed October 7, 2014). | |
| 520 | |a 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 a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Control Systems Engineering introduces you to MATLAB and its Control System Toolbox, with practical hands-on examples so that you?ll learn how to create control systems in MATLAB, from models of linear invariant systems, time as transfer functions, zero/pole/amplification or form of State space. You?ll see how you can manipulate both discrete and continuous time systems, and make conversions between various representations of models. Once you?ve mastered the MATLAB Control System Toolbox, you?ll also be able to calculate and graph time response, frequency response, and loci of roots. Plus how to perform placement of Poles, optimal control, and estimates. | ||
| 505 | 0 | 0 | |g Machine generated contents note: |g ch. 1 |t Introducing MATLAB and the MATLAB Working Environment -- |t Introduction -- |t Developing Algorithms and Applications -- |t Data Access and Analysis -- |t Data Visualization -- |t Numerical Calculation -- |t Publication of Results and Distribution of Applications -- |t MATLAB Working Environment -- |t Help in MATLAB -- |g ch. 2 |t Variables, Numbers, Operators and Functions -- |t Variables -- |t Vector Variables -- |t Matrix Variables -- |t Character Variables -- |t Numbers -- |t Integers -- |t Functions of Integers and Divisibility -- |t Alternative Bases -- |t Real Numbers -- |t Functions with Real Arguments -- |t Complex Numbers -- |t Functions with Complex Arguments -- |t Elementary Functions that Support Complex Vector Arguments -- |t Elementary Functions that Support Complex Matrix Arguments -- |t Random Numbers -- |t Operators -- |t Arithmetic Operators -- |t Relational Operators -- |t Logical Operators -- |t Logical Functions -- |g ch. 3 |t Control Systems -- |t Introduction to Control Systems -- |t Control System Design and Analysis: The Control System Toolbox -- |t Construction of Models -- |t Analysis and Design -- |t Graphical Analysis of Models Using the LT1 Viewer -- |t Analysis of Models Using the Command Line -- |t Compensator Design Using the SISO Design Tool -- |t Compensator Design Using the Command Line -- |t Control System Toolbox Commands -- |t LTI Model Commands -- |t Model Feature Commands -- |t Model Conversion Commands -- |t Commands for Reduced Order Models -- |t Commands Related to State-Spaces -- |t Commands for Dynamic Models -- |t Commands for interconnecting Models -- |t Response Time Commands -- |t Frequency Response Commands -- |t Pole Location Commands -- |t LOG Design Commands -- |t Commands for Solving Equations -- |g ch. 4 |t Robust Predictive Control -- |t Predictive Control Strategies: The Model Predictive Control Toolbox -- |t ID Commands -- |t Information Matrix Plotting Commands -- |t Model Conversion Commands -- |t Model Building Commands -- MPC Mod Format -- |t Control Design and Simulation Commands -- MPC Step Format -- |t Control Design and Simulation Commands -- MPC Mod Format -- |t Script Analysis Commands -- |t Robust Control Systems: The Robust Control Toolbox -- |t Optional Data Structure System Commands -- |t Modeling Commands -- |t Model Conversion Commands -- |t Utility Commands. |
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