Advanced Digital Signal Processing Methods for Filtering, Identification, and Nonlinear Systems Control - Pupeikis, Rimantas;Kazlauskas, Kazys
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This book presents a general approach to block and recursive filtering, identification, and control, using signal observations processing techniques, and provides to the reader these results:
The new version of least square algorithm that is speeded up without changing its adaptive characteristics, increasing the parallelism in algorithm.
The efficient lower triangular inverse matrix and the input signal covariance matrix computation method.
The original bias correction approach that is used to eliminate the parameter estimation bias of an iterative autoregressive system parameter…mehr

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Produktbeschreibung
This book presents a general approach to block and recursive filtering, identification, and control, using signal observations processing techniques, and provides to the reader these results:

The new version of least square algorithm that is speeded up without changing its adaptive characteristics, increasing the parallelism in algorithm.

The efficient lower triangular inverse matrix and the input signal covariance matrix computation method.

The original bias correction approach that is used to eliminate the parameter estimation bias of an iterative autoregressive system parameter estimation algorithm in the presence of additive white noise.

The discovery that nonlinear Volterra, polynomial autoregressive and bilinear systems have the same layered implementation routine, which allows us using the layered structure, the order of nonlinearity increased/decreased by adding/deleting more layers to/from the structure.

The proven statement that the modular layered structures admit the very large scale integration implementation of the polynomial nonlinear filters.

The methods and algorithms for parametrical identification of linear time-invariant systems having piecewise-linear nonlinearities consisting of two blocks (linear dynamic block and a nonlinear static one) by partitioning different segments of the linear nonlinearity.

The simple mathematical equations representing self-tuning controllers for speedy servo control of nonlinear systems with piecewise-linear nonlinearities;

The approach to be proposed here could be used not only for a potential system having the invertible piecewise nonlinearity; it is applicable for a system having noninvertible nonlinear function as well.

The technique for adaptive control of nonlinear systems, containing switched piecewise-linear nonlinearities and operating in a noisy environment.

The simulation results of control of block-oriented Wiener and Hammerstein systems, using input-noisy output observations.

The book is aimed at three major groups of readers: senior undergraduate students, graduate students, and scientific research workers in electrical engineering, computer engineering, computer science, and digital control.
Autorenporträt
In 1967, K. Kazlauskas finished Kaunas Polytechnical Institute (now Kaunas Technological University (KTU)) (Engineer of Technical Cybernetics). In 1973 at KTU, K. Kazlauskas defended PhD thesis (Cybernetics and Information Theory). In 1980 according the decision of Presidium of USSR Sciences, K. Kazlauskas was granted by the Senior Scientific Worker certificate in the field of Technical Cybernetics and Information Theory. In 1999 at Vytautas Magnus University (Kaunas) and Institute of Mathematics and Informatics (Vilnius), K. Kazlauskas defended Dr. Habilitus thesis ( Physical Sciences, Informatics). From 2000s according the decision of Vytautas Magnus University, K. Kazlauskas is a full professor (Physical Sciences, Informatics). K. Kazlauskas was a chief researcher and head of the group of Technological Processes Control at Institute of Mathematics and Informatics (1994–2015) and professor of Department of Informatics at Lithuanian University of Educology (2000–2017). Rimantas Pupeikis finished Vilnius branch of Kaunas Politechnical Institute (now Kaunas Technological University (KTU)) in 1969s. He got a speciality of mechanization and automation of machines manufacture and acquired engineer's electromechanic's degree as well. In 1969s, R.Pupeikis, as junior scientific worker, began the scientific activity in the laboratory of adaptive systems of Institute of Energetics in Kaunas. In 1979s in KTU scientific board meeting, he defended his PhD thesis in Cybernetics and Information theory. In 1994s, he prepared the Doctor Habilitus thesis in Informatics. However, the governing body of Department of Informatics of Vytautas Magnum University (VDU) in Kaunas gave rise to his dissertation requirements that were not tuned up with official ones published by Lithuanian Sciences Council. Nevertheless, the dissertation left not defended because of absence of an official support.