Spelling suggestions: "subject:"discrete time systems"" "subject:"iscrete time systems""
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Stochastic bounded control for a class of discrete systems.Desjardins, Nicole. January 1971 (has links)
No description available.
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Frequency domain analysis of sampled-data control systemsBraslavsky, Julio Hernán. January 1995 (has links)
"The Department of Electrical and Computer Engineering, the University of Newcastle." Includes index. Bibliography: p. [137]-143.
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Existence and uniqueness results for ��� -optimal linear dynamic controllers for discrete time SISO systemsAlpay, Mehmet Emin 30 May 1995 (has links)
Graduation date: 1996
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Neural network control of nonlinear discrete time systemsZakrzewski, Radoslaw Romuald 21 December 1994 (has links)
The main focus of this work is on the problem of existence of nonlinear optimal controllers
realizable by artificial neural networks. Theoretical justification, currently
available for control applications of neural networks, is rather limited. For example,
it is unclear which neural architectures are capable of performing which control
tasks. This work addresses applicability of neural networks to the synthesis of approximately
optimal state feedback. Discrete-time setting is considered, which brings
extra regularity into the problem and simplifies mathematical analysis. Two classes
of optimal control problems are studied: time-optimal control and optimal control
with summable quality index. After appropriate relaxation of the optimization problem,
the existence of a suboptimal feedback mapping is demonstrated in both cases.
It is shown that such a feedback may be realized by a multilayered network with
discontinuous neuron activation functions. For continuous networks, similar results
are obtained, with the existence of suboptimal feedback demonstrated, except for
a set of initial states of an arbitrarily small measure. The theory developed here
provides basis for an attractive approach of the synthesis of near-optimal feedback
using neural networks trained on optimal trajectories generated in open loop. Potential
advantages of control based on neural networks are illustrated on application
to stabilization of interconnected power systems. A nearly time-optimal controller is
designed for a single-machine system using neural networks. The obtained controller
is then utilized as an element of a hierarchical control architecture used for stabilization
of a multimachine power transmission system. This example demonstrates
applicability of neural control to complicated, nonlinear dynamic systems. / Graduation date: 1995
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Discrete control of continuous processesJanuary 1980 (has links)
Timothy L. Johnson, Martin E. Kaliski. / Final Technical Report. / Bibliography: leaf 17a. / Prepared for Air Force Office of Scientific Research Contract F49620-80-C-0002.
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An interim report of research on discrete control of continuous processesJanuary 1981 (has links)
Timothy Johnson, Martin E. Kaliski. / Interim report. / Bibliography: leaf 3. / "June 8, 1981." / AFOSR Contract F49620-80-C-0002
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The digital implementation of control compensators : the coefficient wordlength issueJanuary 1979 (has links)
by Paul Moroney, Alan S. Willsky, Paul K. Houpt. / Bibliography: leaves 32-34. / "October, 1979." / NASA Ames Grant NGL-22-009-124
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On the numerical solution of the discrete time algebraic Riccati equationJanuary 1979 (has links)
by T. Pappas, A.J. Laub, N.R. Sandell, Jr. / Bibliography: leaf 38. / "May 1979." / Contract ERDA-E(49-18)-2087 Contract No. DAAG29-79-C-0031
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Realization of A/D and D/A codersJanuary 1981 (has links)
D.G. Wimpey, T.L. Johnson, M.E. Kaliski. / Bibliography: p. 6. / "April, 1981." / U.S. Air Force Office of Scientific Research contract F49620-80-C-0002
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Analytic models of multitask processesJanuary 1981 (has links)
Timothy L. Johnson. / Bibliography: p. 7. / "April, 1981"--report documentation page. "20th CDC." / U.S. Air Force Office of Scientific Research contract F49620-80-C-0002
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