Tadeusz Kaczorek, Krzysztof Rogowski

Fractional Linear Systems and Electrical Circuits (eBook, PDF)

• Format: PDF

Produktbeschreibung

This monograph covers some selected problems of positive and fractional

electrical circuits composed of resistors, coils, capacitors and voltage (current)

sources. The book consists of 8 chapters, 4 appendices and a list of references.

Chapter 1 is devoted to fractional standard and positive continuous-time

and discrete-time linear systems without and with delays. In chapter 2 the standard

and positive fractional electrical circuits are considered and the fractional electrical

circuits in transient states are analyzed. Descriptor linear electrical circuits and their properties are investigated in chapter 3, while chapter 4 is devoted to the stability of fractional standard and positive linear electrical circuits. The reachability, observability and reconstructability of fractional positive electrical circuits and their decoupling zeros are analyzed in chapter 5. The fractional linear electrical circuits with feedbacks are considered

in chapter 6. In chapter 7 solutions of minimum energy control for standard and fractional systems with and without bounded inputs is presented. In chapter 8 the fractional continuous-time 2D linear systems described by the Roesser type models are investigated.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 254
• Erscheinungstermin: 13. Oktober 2014
• Englisch
• ISBN-13: 9783319113616
• Artikelnr.: 44132566

Inhaltsangabe

Fractional differential equations.- Positive fractional electrical circuits.- Descriptor linear electrical circuits and their properties.- Stability of positive standard linear electrical circuits.- Reachability, observability and reconstructability.- Standard and fractional linear circuits with feedbacks.- Minimum energy control of electrical circuits.- Fractional 2D systems described by the Roesser model.- Laplace transforms and Z-transforms.- Elementary operations on matrices.- Nilpotent matrices.- Drazin inverse matrix.