Linear Time-Invariant Systems, Behaviors and Modules
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Beschreibung
This book comprehensively examines various significant aspects of linear time-invariant systems theory, both for continuous-time and discrete-time. Using a number of new mathematical methods it provides complete and exact proofs of all the systems theoretic and electrical engineering results, as well as important results and algorithms demonstrated with nontrivial computer examples. The book is intended for readers who have completed the first two years of a university mathematics course. All further mathematical results required are proven in the book.
This book comprehensively examines various significant aspects of linear time-invariant systems theory, both for continuous-time and discrete-time. Using a number of new mathematical methods it provides complete and exact proofs of all the systems theoretic and electrical engineering results, as well as important results and algorithms demonstrated with nontrivial computer examples. The book is intended for readers who have completed the first two years of a university mathematics course. All further mathematical results required are proven in the book.
Provides a comprehensive survey of significant aspects of linear time-invariant systems theory Presents new methods to obtain complete and exact proofs of results Features results accompanied by constructive algorithms that are demonstrated by nontrivial computer examples
Autor*in
Ulrich Oberst
Themen in »Linear Time-Invariant Systems, Behaviors and Modules«
linear time-invariant system transfer matrix schwartz distribution impulse response laplace transform electrical network stabilizing compensator fractional calculus matrix theory partial differential equations ordinary differential equations
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“This 700-plus page book provides a multifaceted introduction to linear time-invariant (LTI) systems theory, both for continuous-time and discrete-time. … In my view, this book is interesting and can be helpful to students and researchers interested in LTI systems theory.” (Jin Liang, zbMATH 1478.93003, 2022)
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