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Institution

Naval Postgraduate School

EducationMonterey, California, United States
About: Naval Postgraduate School is a education organization based out in Monterey, California, United States. It is known for research contribution in the topics: Tropical cyclone & Nonlinear system. The organization has 5246 authors who have published 11614 publications receiving 298300 citations. The organization is also known as: NPS & U.S. Naval Postgraduate School.


Papers
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Proceedings ArticleDOI
01 Oct 1973
TL;DR: A technique is presented for global analysis of program structure in order to perform compile time optimization of object code generated for expressions that includes constant propagation, common subexpression elimination, elimination of redundant register load operations, and live expression analysis.
Abstract: A technique is presented for global analysis of program structure in order to perform compile time optimization of object code generated for expressions. The global expression optimization presented includes constant propagation, common subexpression elimination, elimination of redundant register load operations, and live expression analysis. A general purpose program flow analysis algorithm is developed which depends upon the existence of an "optimizing function." The algorithm is defined formally using a directed graph model of program flow structure, and is shown to be correct. Several optimizing functions are defined which, when used in conjunction with the flow analysis algorithm, provide the various forms of code optimization. The flow analysis algorithm is sufficiently general that additional functions can easily be defined for other forms of global code optimization.

960 citations

Journal ArticleDOI
TL;DR: In this article, a sliding-mode autopilot is designed for the combined steering, diving, and speed control functions of an AUV, assuming decoupled modeling, and the influence of speed, modeling nonlinearity, uncertainty, and disturbances can be effectively compensated.
Abstract: A six-degree-of-freedom model for the maneuvering of an underwater vehicle is used and a sliding-mode autopilot is designed for the combined steering, diving, and speed control functions. In flight control applications of this kind, difficulties arise because the system to be controlled is highly nonlinear and coupled, and there is a good deal of parameter uncertainty and variation with operational conditions. The development of variable-structure control in the form of sliding modes has been shown to provide robustness that is expected to be quite remarkable for AUV autopilot design. It is shown that a multivariable sliding-mode autopilot based on state feedback, designed assuming decoupled modeling, is quite satisfactory for the combined speed, steering, and diving response of a slow AUV. The influence of speed, modeling nonlinearity, uncertainty, and disturbances, can be effectively compensated, even for complex maneuvering. Waypoint acquisition based on line-of-sight guidance is used to achieve path tracking. >

917 citations

Journal ArticleDOI
TL;DR: In this article, a simple and relatively efficient method for simulating one-dimensional and two-dimensional nonhomogeneous Poisson processes is presented, which is applicable for any rate function and is based on controlled deletion of points in a Poisson process whose rate function dominates the given rate function.
Abstract: : A simple and relatively efficient method for simulating one- dimensional and two-dimensional nonhomogeneous Poisson processes is presented. The method is applicable for any rate function and is based on controlled deletion of points in a Poisson process whose rate function dominates the given rate function. In its simplest implementation, the method obviates the need for numerical integration of the rate function, for ordering of points, and for generation of Poisson variates.

890 citations

Journal ArticleDOI
TL;DR: Three new heuristics, one for batch mode and two for immediate mode, are introduced as part of this research, revealing that the choice of which dynamic mapping heuristic to use in a given heterogeneous environment depends on parameters such as the structure of the heterogeneity among tasks and machines and the arrival rate of the tasks.

828 citations

Journal ArticleDOI
06 Oct 2005
TL;DR: This work advocate a complete refactoring of the functionality and proposes three key principles--network-level objectives, network-wide views, and direct control--that it believes should underlie a new architecture, called 4D, after the architecture's four planes: decision, dissemination, discovery, and data.
Abstract: Today's data networks are surprisingly fragile and difficult to manage. We argue that the root of these problems lies in the complexity of the control and management planes--the software and protocols coordinating network elements--and particularly the way the decision logic and the distributed-systems issues are inexorably intertwined. We advocate a complete refactoring of the functionality and propose three key principles--network-level objectives, network-wide views, and direct control--that we believe should underlie a new architecture. Following these principles, we identify an extreme design point that we call "4D," after the architecture's four planes: decision, dissemination, discovery, and data. The 4D architecture completely separates an AS's decision logic from pro-tocols that govern the interaction among network elements. The AS-level objectives are specified in the decision plane, and en-forced through direct configuration of the state that drives how the data plane forwards packets. In the 4D architecture, the routers and switches simply forward packets at the behest of the decision plane, and collect measurement data to aid the decision plane in controlling the network. Although 4D would involve substantial changes to today's control and management planes, the format of data packets does not need to change; this eases the deployment path for the 4D architecture, while still enabling substantial innovation in network control and management. We hope that exploring an extreme design point will help focus the attention of the research and industrial communities on this crucially important and intellectually challenging area.

805 citations


Authors

Showing all 5313 results

NameH-indexPapersCitations
Mingwei Chen10853651351
O. C. Zienkiewicz10745571204
Richard P. Bagozzi104347103667
Denise M. Rousseau8421850176
John Walsh8175625364
Ming C. Lin7637023466
Steven J. Ghan7520725650
Hui Zhang7520027206
Clare E. Collins7156021443
Christopher W. Fairall7129319756
Michael T. Montgomery6825814231
Tim Li6738316370
Thomas M. Antonsen6588817583
Nadia Magnenat-Thalmann6552114850
Johnny C. L. Chan6126114886
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022151
2021321
2020382
2019352
2018362