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140122 ||| eng |
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|a 9783642807350
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| 100 |
1 |
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|a Saeks, R.
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| 245 |
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|a Resolution Space, Operators and Systems
|h Elektronische Ressource
|c by R. Saeks
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| 250 |
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|a 1st ed. 1973
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1973, 1973
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| 300 |
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|a X, 270 p
|b online resource
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| 505 |
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|a 1. Causality -- A. Resolution Space -- B. Causal Operators -- C. Closure Theorems -- D. The Integrals of Triangular Truncation -- E. Strictly Causal Operators -- F. Operator Decomposition -- G. Problems and Discussion -- 2. Feedback Systems -- A. Well-Posedness -- B. Stability -- C. Sensitivity -- D. Optimal Controllers -- E. Problems and Discussion -- 3. Dynamical Systems -- A. State Decomposition -- B. Controllability, Observability and Stability -- C. The Regulator Problem -- D. Problems and Discussion -- 4. Time-Invariance -- A. Uniform Resolution Space -- B. Spaces of Time-Invariant Operators -- C. The Fourier Transform -- D. The Laplace Transform -- E. Problems and Discussion -- Appendices -- A. Topological Groups -- A. Elementary Group Concepts -- B. Character Groups -- C. Ordered Groups -- D. Integration on (LCA) Groups -- E. Differentiation on (LCA) Groups -- B. Operator Valued Integration -- A. Operator Valued Measures -- B. The Lebesgue Integral -- C. The Cauchy Integrals -- D. Integration over Spectral Measures -- C. Spectral Theory -- A. Spectral Theory for Unitary Groups -- B. Spectral Multiplicity Theory -- C. Spectral Theory for Contractive Semigroups -- D. Representation Theory -- A. Resolution Space Representation Theory -- B. Uniform Resolution Space Representation Theory -- References
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| 653 |
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|a Computer science
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| 653 |
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|a Computer Science
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
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|a Lecture Notes in Economics and Mathematical Systems
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| 028 |
5 |
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|a 10.1007/978-3-642-80735-0
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| 856 |
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|u https://doi.org/10.1007/978-3-642-80735-0?nosfx=y
|x Verlag
|3 Volltext
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|a 004
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| 520 |
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|a If one takes the intuitive point of view that a system is a black box whose inputs and outputs are time functions or time series it is natural to adopt an operator theoretic approach to the stUdy of such systems. Here the black box is modeled by an operator which maps an input time function into an output time function. Such an approach yields a unification of the continuous (time function) and discrete (time series) theories and simultaneously allows one to formulate a single theory which is valid for time-variable distributed and nonlinear systems. Surprisingly, however, the great potential for such an approach has only recently been realized. Early attempts to apply classical operator theory typically having failed when optimal controllers proved to be non-causal, feedback systems unstable or coupling networks non-lossless. Moreover, attempts to circumvent these difficulties by adding causality or stability constraints to the problems failed when it was realized that these time based concepts were undefined and; in fact, undefinable; in the Hilbert and Banach spaces of classical operator theory
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