{"title":"A simulation for dynamic timing analysis","authors":"D. A. Bertke","doi":"10.1109/ICSYSE.1990.203193","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203193","url":null,"abstract":"BARSIM, a simulation that enables dynamic timing analysis to be performed on a system at all stages of its life cycle, is presented. This simulation permits design engineers to explore the dynamic effects of the design through various usage scenarios to identify the critical components of the architecture. As the design matures and implementation decisions are made, the simulation can confirm operational suitability. During systems integration, the simulation provides an initial baseline for measuring performance and operational capability. After completion, the simulation provides a very cost effective tool for evaluating changes to the system, before committing to purchase options. This simulation and its applicability to system design, development, integration, and modification are described","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133382275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A multigrid approach to object support estimation from diffraction-limited images","authors":"A. Tewfik","doi":"10.1109/ICSYSE.1990.203216","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203216","url":null,"abstract":"A procedure for object support estimation from diffraction-limited images is developed under the assumptions that the (not necessarily spatially invariant) point spread function of the imaging system and the object location are known. The problem is formulated as a generalized hypothesis-testing problem with unequal a priori probabilities. The a priori probabilities are determined in such a way as to minimize the probability of incorrectly identifying the object support. This formulation leads to a sequence of statistical hypothesis tests which involve projections of the observed noisy image on the null spaces of certain matrices derived from the point spread function of the imaging system. The projections are computed using a multigrid iterative scheme. The statistical tests are done in an optimal order to minimize the total number of tests that have to be performed","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132395297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robustness analysis for real-time simulation","authors":"X. Niu, J. A. De Abreu-Garcia, T. Hartley","doi":"10.1109/ICSYSE.1990.203115","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203115","url":null,"abstract":"A stability bound for linear continuous systems subject to nonlinear perturbations is derived. This bound guarantees that systems being simulated using two-step integrators remain stable under such perturbations. A numerical example is used to illustrate the effect of the sampling time on the bound","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131308821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experiments on identification and control of flexible structures using an ultrasonic ranging system","authors":"E. Barbieri, F. Figueroa","doi":"10.1109/ICSYSE.1990.203089","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203089","url":null,"abstract":"A technique based on an ultrasonic ranging system (URS) that yields a simple and accurate way of identifying the vibration modes of a flexible structure is introduced. Preliminary results are reported which are concentrated on some design issues of the URS and its use as a potential displacement measuring device for flexible structures. The URS accurately distinguishes four vibration frequencies of a simple clamped-mass aluminum beam, the highest frequency being near 50 Hz. A 3-D version of the system can be used as a vibration sensor in the evaluation stages of the feedback control schemes of large flexible space structures","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133743347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"New adaptive online modeling technique for active noise control systems","authors":"J. Tapia, S. Kuo","doi":"10.1109/ICSYSE.1990.203151","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203151","url":null,"abstract":"An adaptive online modeling technique for active noise control systems is presented and discussed. Changes in the environment produced by different extreme weather conditions and aged transducers make online modeling necessary in order to make the system track and compensate for those changes. This technique does not use an auxiliary source for modeling, and the introduced complexity is manageable for real-time implementations. Real-time experimental results obtained using this technique are presented to show the effectiveness of the method","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114519875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incorporating global information into local nonlinear controllers","authors":"C.G. Stewart, E. Baumann","doi":"10.1109/ICSYSE.1990.203224","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203224","url":null,"abstract":"An approximation scheme that allows the incorporation into nonlinear controllers of control information that improves the global response while still providing the desired local response is developed. The extended-linearization method for designing local nonlinear controllers is summarized. The extent to which global information can be incorporated into the local controller is discussed. The specific approximation scheme considered is discussed. Simulation results for a chemical reactor example are given. Future directions for research indicated by the preliminary results are discussed","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117066084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computer processing of high resolution radar data at Naval Ocean Systems Center","authors":"S.T. Tran","doi":"10.1109/ICSYSE.1990.203199","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203199","url":null,"abstract":"The signal processing aspects of high-resolution radar (HRR) systems are discussed. Motion compensation techniques are included in the discussion. A general description is given of the computer equipment, the data products, and their applications at the US Naval Ocean Systems center. High-resolution radar data collection systems using stepped-frequency waveforms at S, X and Ku bands have been implemented. The targets are operational ships and aircraft. Computer processing of HRR data generates data products which include high-resolution range profiles and inverse synthetic aperture radar (ISAR) images","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"600 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116283919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multivariate autoregressive model applied to conditioned spectral analysis of complex systems","authors":"R. Suoranta, S. Rantala","doi":"10.1109/ICSYSE.1990.203130","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203130","url":null,"abstract":"A method of performing out conditioned spectral analysis without the drawbacks of traditional Fourier-transform-based methods is introduced. The method is based on the estimation of the multivariate autoregressive (MAR) model. Because the MAR model is a black-box model and can describe systems with feedback loops, it is a suitable tool for the analysis of complex systems. Two different approaches for the conditioned spectral matrix in the context of the MAR model are presented. They are the reduced conditioned spectral matrix and the noise conditioned spectral matrix. These spectral quantities offer possibilities in the analysis of systems where no exact prior knowledge about internal structures is available","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124649012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Target motion prediction and tracking by bi-directional dynamic associative neural network","authors":"Q. Zhu","doi":"10.1109/ICSYSE.1990.203169","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203169","url":null,"abstract":"Derived from simple neural network models, a bidirectional dynamic associative neural network for tracking and predicting target motion is presented. The network applies a retrospective autoregression model for continual updating of the network parameters and computing the future motion states of the target. Simulation results show improvements over previous models in the accuracy of prediction","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127154774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Direct model reference adaptive control in large space structures using hyperstability","authors":"S.-C. Liang, M. Balas","doi":"10.1109/ICSYSE.1990.203101","DOIUrl":"https://doi.org/10.1109/ICSYSE.1990.203101","url":null,"abstract":"A direct model reference adaptive control based on a reduced-order model for a large space structure is obtained. The hyperstability theory is used for stability analysis. This approach provides greater flexibility in choosing adaptive laws and avoids the shortcomings of Lyapunov's method. For improving the sensor and actuator noncollocated problem, the almost strict positive realness condition is established. The design and test of an adaptive controller are discussed","PeriodicalId":259801,"journal":{"name":"1990 IEEE International Conference on Systems Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1990-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130086975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}