Robust and optimal control abril 5, 2017
Posted by DIRECCIÓN Y COORDINACIÓN BIBLIOTECA in Biblioteca.Tags: Algebras Lineales, Optimización matemática, sistemas dinamicos, Teoria del control, transformaciones lineales
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Robust and optimal control
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.
Simulation of Dynamic Systems : with Matlab and Simulink. – 2a ed. noviembre 13, 2015
Posted by DIRECCIÓN Y COORDINACIÓN BIBLIOTECA in Biblioteca, Ingeniería.Tags: Análisis de sistemas, Cuadratura de gauss, Integración numérica, MATLAB, Optimización matemática, Realidad virtual, Simulación por computadores, SIMULINK, sistemas dinamicos
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Simulation of Dynamic Systems : with Matlab and Simulink. – 2a ed.
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.
