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4 edition of A self-contained, automated methodology for optimal flow control validated for transition delay found in the catalog.
A self-contained, automated methodology for optimal flow control validated for transition delay
Published 1995 by Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, National Technical Information Service, distributor in Hampton, VA, [Springfield, Va .
Statement Ronald D. Joslin ... [et al.].
Series ICASE report -- no. 95-64., NASA contractor report -- 198215., NASA contractor report -- NASA CR-198215.
Contributions Joslin, Ronald D., Institute for Computer Applications in Science and Engineering.
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Traditional approaches are often based on methodology known as preimage planning, which involves worst-case analysis. The authors have developed a gen eral framework for determining feedback strategies by blending ideas from stochastic optimal control and dynamic game theory with traditional preimage planning concepts. on the control and automation fields, sometimes it is necessary to upgrade the existing system to prevent major downtimes due to e.g. threats on cyber security. In Gearless Mill Drives application, the Cycloconverter that drives the ring motor has a control system that, in the recent case of Barrick Goldstrike, had to undergo a control upgrade.
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A self-contained, automated methodology for optimal flow control validated for transition delay Download PDF EPUB FB2
Get this from a library. A self-contained, automated methodology for optimal flow control validated for transition delay. [Ronald D Joslin; Institute for Computer Applications in Science and Engineering.;]. A self-contained, automated methodology for active flow control is described, which couples the time-dependent Navier-Stokes system with an adjoint Navier-Stokes system and optimality conditions.
Linear optimal control theory is used for obtaining stabilizing feedback control systems. An expression for the region of stability of the system is derived. A Self-Contained, Automated Methodology for Optimal Flow Control Validated for Transition Delay," AIAA J., 35, pp.
Cited by: Active control of instabilities in laminar boundary-layer flow -- part II: use of sensors and spectral 16 controller. AIAA Journal, 33, Joslin, R., Eriebacher, G., & Hussaini, M. Active control of instabilities in laminar boundary-layer flow -- overview and concept validation.
JOURNAL OF FLUIDS ENGINEERING, A reduced finite difference scheme based on singular value decomposition and proper orthogonal decomposition for Burgers equation M.Y.
HussainiA self-contained automated methodology for optimal flow control validated for transition delay. AIAA Journal, 35 (), pp. Cited by: Review of Some Fundamentals of Data Processing. Authors; Authors and affiliations; A reduced-order approach for optimal control of fluids using proper orthogonal decomposition, Int.
Numer. A self-contained, automated methodology for optimal flow control validated for transition delay, ICASE Rep.1–31 () Google Scholar. A Self-Contained, Automated Methodology for Optimal Flow Control Validated for Transition Delay (ICASE Report ).
Nasa Langley Research Center. Eidson, T. M., & Erlebacher, G. The remaining chapters provide self-contained investigations of the G-machine, SKI combinator reduction, and the data flow approach for implementing the functional programming paradigm.
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Institute of Electrical and Electronics Engineers Inc., Cited by: This book presents a framework for the reuse-based design of AMS circuits. The framework is founded on three key elements: (1) a CAD-supported hierarchical design flow; (2) a complete, clear definition of the AMS reusable block; (3) the design for a reusability set of tools, methods, and guidelines.
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A self-contained automated methodology for optimal flow control validated for transition delay. AIAA J,[13] Ly H V, Tran H T. Proper orthogonal decomposition for flow calculations and optimal control in a horizontal CVD reactor.
Quart Appl Math,Cited by: 9.Provided is a system and method for centralizing common messaging functionality across a plurality of heterogeneous Mobile data processing System (MS) applications, and for synergistically bringing new messaging functionality to those applications.
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When he isn't working on a deep learning project, you'll find him outdoors running, hiking, or enjoying a good cup of coffee with a great book.
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