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Robust and optimal control abril 5, 2017

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Robust and optimal control

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Zhou, Kemin (Autor)
Doyle, John C. (Autor)
Glover, Keith (Autor)

For graduate—level courses and for professional reference dealing with robust linear control, multivariable design and H…à Control. Assumes prior knowledge of feedback and control systems and linear systems theory. Also appropriate for practicing engineers familiar with modern control techniques.

Class-tested at major institutions around the world and regarded as an “instant classic” by reviewers, this work offers the most complete coverage of robust and H…à control available. The clarity of the overall methodology: how one sets a problem up, introduces uncertainty models, weights, performance norms, etc. set this book apart from others in the field. Offers detailed treatment of topics not found elsewhere including — Riccati equations, …m theory, H…à loopshaping, controller reduction, how to formulate problems in a LFT form. Key results are given immediately for quick access in the beginning of the book. Overall the book serves as a tremendous self-contained reference by having collected and developed all the important proofs and key results available. Problems sets are available on Internet.

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Sistemas dinámicos : una introducción octubre 20, 2016

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Sistemas dinámicos : una introducción

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Barreira, Luís (Autor)
Valls, Claudia (Autor)
García Tomé, Fernando M. (Editor)

Este libro es una introducción a la teoría de sistemas dinámicos, con énfasis en sistemas dinámicos en tiempo discreto.En particular, consideramos sistemas dinámicos topologicos, en baja dimensión, hiperbólicos y simbólicos. También damos una breve introducción a la teoría ergódica

El texto puede servir de base a un curso introductorio de sistemas dinámicos o para estudio independiente.También se puede utilizar como punto de partida para el estudio de temas avanzados.

La exposición es directa y rigurosa.En particular, todos los resultados formulados son demostrados e intentamos que cada demostración sea lo más simple posible.Algunas veces necesitamos alguna preparación o la restricción a clases apropiadas de sistemas dinámicos, que se justifica completamente  en una primera introducción

El texto incluye numerosos ejemplos que ilustran detalladamente los nuevos conceptos y resultados, así como ejercicios al final de cada capitulo, con nivel de dificultad variable.

Observamos que la teoría de sistemas dinámicos es muy vasta,extremadamente activa en términos de investigación y depende de forma sustancial de muchas áreas de matemáticas. Así , con el fin de dar una visión suficientemente amplia pero también auto contenida y de tamaño controlado, seleccionamos el material y excluimos algunos temas, pero indicamos referencias apropiadas para lecturas adicionales.

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Sistemas de control moderno. – 10a ed. febrero 25, 2016

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Sistemas de control moderno. – 10a ed

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Dorf, Richard C. (Autor)
Bishop , Robert H. (Autor)
Dormido Canto, Sebastián (Traductor)
Dormido Canto, Raquel (Traductor)
Dormido Bencomo, Sebastián (Revisor Técnico)

Written to be equally useful for all engineering disciplines, this text is organized around the concept of control systems theory as it has been developed in the frequency and time domains. It provides coverage of classical control, employing root locus design, frequency and response design using Bode and Nyquist plots. It also covers modern control methods based on state variable models including pole placement design techniques with full-state feedback controllers and full-state observers. Many examples throughout give students ample opportunity to apply the theory to the design and analysis of control systems.

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Simulation of Dynamic Systems : with Matlab and Simulink. – 2a ed. noviembre 13, 2015

Posted by DIRECCIÓN Y COORDINACIÓN BIBLIOTECA in Biblioteca, Ingeniería.
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Simulation of Dynamic Systems : with Matlab and Simulink. – 2a ed.

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Klee, Harold (Autor)
Allen, Randal (Autor)

Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems, and a massive transformation has occurred in the application of simulation in fields ranging from engineering and physical sciences to medicine, biology, economics, and applied mathematics. As with most things, simulation is best learned through practice—but explosive growth in the field requires a new learning approach.

A response to changes in the field, Simulation of Dynamic Systems with MATLAB® and Simulink®, Second Edition has been extensively updated to help readers build an in-depth and intuitive understanding of basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena.

Includes an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts

Accomplished experts Harold Klee and Randal Allen take readers through a gradual and natural progression of important topics in simulation, introducing advanced concepts only after they construct complete examples using fundamental methods. Presented exercises incorporate MATLAB® and Simulink®—including access to downloadable M-files and model files—enabling both students and professionals to gain experience with these industry-standard tools and more easily design, implement, and adjust simulation models in their particular field of study.

More universities are offering courses—as well as masters and Ph.D programs—in both continuous-time and discrete-time simulation, promoting a new interdisciplinary focus that appeals to undergraduates and beginning graduates from a wide range of fields. Ideal for such courses, this classroom-tested introductory text presents a flexible, multifaceted approach through which simulation can play a prominent role in validating system design and training personnel involved.

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Identification of Dynamic Systems: An Introduction with Applications noviembre 9, 2015

Posted by DIRECCIÓN Y COORDINACIÓN BIBLIOTECA in Biblioteca, Electronica.
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Identification of Dynamic Systems: An Introduction with Applications

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Isermann, Rolf (Autor)
Münchhof, Marco (Autor)

Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.

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Simulation Of Dynamic Systems mayo 25, 2015

Posted by DIRECCIÓN Y COORDINACIÓN BIBLIOTECA in Electronica, Sistemas.
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Simulation Of Dynamic Systems With Matlab And Simulink.

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Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems, and a massive transformation has occurred in the application of simulation in fields ranging from engineering and physical sciences to medicine, biology, economics, and applied mathematics. As with most things, simulation is best learned through practice—but explosive growth in the field requires a new learning approach.A response to changes in the field, Simulation of Dynamic Systems with MATLAB® and Simulink®, Second Edition has been extensively updated to help readers build an in-depth and intuitive understanding of basic concepts, mathematical tools, and the common principles of various simulation models for different phenomena.

Includes an abundance of case studies, real-world examples, homework problems, and equations to develop a practical understanding of concepts

Klee, Harold (Autor)
Allen, Randal (Autor)

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