Spelling suggestions: "subject:"discrete time systems"" "subject:"iscrete time systems""
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Computational schemes for exact linearization of discrete-time systems using a geometric approachJayaraman, Gangadhar January 1995 (has links)
No description available.
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Polyhedral Lyapunov functions and stabilization under polyhedral constraintsMarikar, Mohamed Tariq January 1997 (has links)
No description available.
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Markov decision problem based on a two-level system /Huang, Jin. January 2003 (has links)
Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2003. / Includes bibliographical references. Also available in electronic version. Access restricted to campus users.
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Toward automatic parallelization of discrete event simulation programsTsai, Jya-Jang January 1994 (has links)
No description available.
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Intelligent modeling for control, reconfiguration and optimization of discrete event systemsMahmood, Waqar 08 1900 (has links)
No description available.
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A discrete time, on-line, identification and control algorithmFowler, James Madison 05 1900 (has links)
No description available.
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Pipelined processor modeling with finite homogeneous discrete-time Markov chain /Unwala, Ishaq Hasanali, January 1998 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 1998. / Vita. Includes bibliographical references (leaves 130-134). Available also in a digital version from Dissertation Abstracts.
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Time-optimal control of discrete-time systems with known waveform disturbancesRiffer, Jennifer Lynn. January 2009 (has links)
Thesis (M.S.)--Marquette University, 2009. / Edwin Yaz, Susan Schneider, Peter Schmidt, Advisors.
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Kalman filtering for linear discrete-time dynamic systemsSchils, George Frederick. January 1978 (has links)
Thesis (M.S.)--University of Wisconsin--Madison. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 259-264).
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Maximum likelihood identification of linear discrete-time systemsDe Glas, Michel January 1976 (has links)
The theoretical properties of the Maximum Likelihood estimator, for both single input-single output and multivariable systems, are considered. New results relative to convergence properties of some identification methods of single input-single output systems are obtained. A unified approach to the Maximum Likelihood identification method of multivariable systems is proposed. Numerical tests on a computer are performed. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate
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