Modeling and Simulation: Proceedings of the Annual Pittsburgh ConferenceInstrument Society of America, 1979 - Computer simulation |
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Contents
PART | i |
SPATIAL VISION | ii |
ADVANCES AND CASE STUDIES | 277 |
Copyright | |
18 other sections not shown
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Common terms and phrases
acceleration adaptive filter air cargo aircraft algorithm analysis application approach approximation arrivals assumed calculated components cost covariance covariance matrix defined derived developed distribution dynamic economic eigenvalues Engineering equations error estimation evaluation failure feedback fire control system flight forecasting freight frequency function Gaussian given IEEE IFRA initial condition input integral interval Kalman filter Kalman-Bucy Filter kernel Lainiotis Lainiotis Filter linear Linear Filtering M-digraph maneuver matrix measurement method minimax minimize missile mode Monte Carlo method motion MTBF nonlinear obtained operation optimal optimal control output parameters performance phase position prediction probability problem procedure process noise queues radar random random variable reliability Research reticle Riccati equation shown in Figure signal simulation model solution stability statistical stiction stochastic target techniques terminal tion Tomcat weapon system tracker tracking traffic trajectory University variables vector vehicle velocity Volterra kernel zero
Bibliographic information
| Title | Modeling and Simulation: Proceedings of the Annual Pittsburgh Conference Volume 10, Issue 2 of Modeling and simulation : proceedings of the ... annual Pittsburgh Conference |
| Contributors | University of Pittsburgh. School of Engineering, Institute of Electrical and Electronics Engineers. Pittsburgh Section, Instrument Society of America. Pittsburgh Section |
| Publisher | Instrument Society of America, 1979 |
| Original from | the University of California |
| Digitized | Oct 17, 2008 |
| Export Citation | BiBTeX EndNote RefMan |