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Linear Dynamic Systems and Signals

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Author :
Release : 2003
Genre : Linear systems
Kind : eBook
Book Rating : 549/5 ( reviews)

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Book Synopsis Linear Dynamic Systems and Signals by : Zoran Gajic

Download or read book Linear Dynamic Systems and Signals written by Zoran Gajic. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt: The author's twelve years of experience with linear systems and signals are reflected in this comprehensive book. The book contains detailed linear systems theory essentials. The intent of this book is to develop the unified techniques to recognize and solve linear dynamical system problems regardless of their origin. Includes Space state techniques as the time domain approach for studying linear systems. Provides a solid foundation on linear dynamic systems and corresponding systems using the dynamic system point of view. Parallels continuous- and discrete-time linear systems throughout to help users grasp the similarities and differences of each. Three part organization: Part I covers frequency-domain approach to linear dynamic systems, Part II covers the time-domain approach to linear dynamic systems, and Part III discusses the linear system approach to electrical engineering, to allow the user to focus of the subject matter as it pertains to their needs. For anyone interested in linear systems and signals

Linear Systems Signals

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Release : 2003-06-01
Genre :
Kind : eBook
Book Rating : 122/5 ( reviews)

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Book Synopsis Linear Systems Signals by : Gajic

Download or read book Linear Systems Signals written by Gajic. This book was released on 2003-06-01. Available in PDF, EPUB and Kindle. Book excerpt:

Identification of Dynamic Systems

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Author :
Release : 2010-11-22
Genre : Technology & Engineering
Kind : eBook
Book Rating : 794/5 ( reviews)

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Book Synopsis Identification of Dynamic Systems by : Rolf Isermann

Download or read book Identification of Dynamic Systems written by Rolf Isermann. This book was released on 2010-11-22. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Analysis of Linear Dynamic Systems

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Author :
Release : 1977
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Analysis of Linear Dynamic Systems by : John Barkley Lewis

Download or read book Analysis of Linear Dynamic Systems written by John Barkley Lewis. This book was released on 1977. Available in PDF, EPUB and Kindle. Book excerpt:

Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals

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Release : 2018-08-09
Genre : Technology & Engineering
Kind : eBook
Book Rating : 027/5 ( reviews)

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Book Synopsis Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals by : Ju H. Park

Download or read book Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals written by Ju H. Park. This book was released on 2018-08-09. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.

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