Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161082
Y. Mutoh, P. Nikiforuk
A design method for an exact model matching control (EMMC) system which reduces the effect of measurement noise on the plant output is presented. This method uses the freedom of controller parameters achieved by increasing the degree of the observer polynomial. For some fixed degree of the observer polynomial, the controller for this EMMC is obtained as a solution of a simple optimization problem. It is shown that the effect of the measurement noise on the plant output becomes smaller as the degree of the observer polynomial is increased. This method is applied to a MRACS for a plant with measurement noise.<>
{"title":"Design of exact model matching control systems for a plant with measurement noise and its application to MRACS","authors":"Y. Mutoh, P. Nikiforuk","doi":"10.1109/ICSYSE.1991.161082","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161082","url":null,"abstract":"A design method for an exact model matching control (EMMC) system which reduces the effect of measurement noise on the plant output is presented. This method uses the freedom of controller parameters achieved by increasing the degree of the observer polynomial. For some fixed degree of the observer polynomial, the controller for this EMMC is obtained as a solution of a simple optimization problem. It is shown that the effect of the measurement noise on the plant output becomes smaller as the degree of the observer polynomial is increased. This method is applied to a MRACS for a plant with measurement noise.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133316752","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161080
S. Immel, J. A. De Abreu-Garcia, S. Kline
The analysis, design, and simulation of a load control system for an industrial tie tester are discussed. A nonlinear state-space-like representation of the system is developed for system evaluation and design. It is shown that a linearizing feedback control law may be obtained using linear system theory. Simulation results are included to demonstrate the tractability of the control system design being proposed.<>
{"title":"Load control system design","authors":"S. Immel, J. A. De Abreu-Garcia, S. Kline","doi":"10.1109/ICSYSE.1991.161080","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161080","url":null,"abstract":"The analysis, design, and simulation of a load control system for an industrial tie tester are discussed. A nonlinear state-space-like representation of the system is developed for system evaluation and design. It is shown that a linearizing feedback control law may be obtained using linear system theory. Simulation results are included to demonstrate the tractability of the control system design being proposed.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115458926","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161081
R. Chen, K. Loparo
Closed-loop control of linear stochastic control systems with unknown parameters is studied using a dual-control approach. At each state, the cost functional associated with the system objective is decomposed into a certainty equivalence cost and a dual cost. The dual cost is appropriately expressed in terms of filter variables in algebraic form, and it appears to be a sum of dual costs of each future state. It is shown that the dual cost at the next immediate stage dominates the future uncertainties, and the resulting optimal control problem is solved in closed form using this property.<>
{"title":"Dual control of linear stochastic systems with unknown parameters","authors":"R. Chen, K. Loparo","doi":"10.1109/ICSYSE.1991.161081","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161081","url":null,"abstract":"Closed-loop control of linear stochastic control systems with unknown parameters is studied using a dual-control approach. At each state, the cost functional associated with the system objective is decomposed into a certainty equivalence cost and a dual cost. The dual cost is appropriately expressed in terms of filter variables in algebraic form, and it appears to be a sum of dual costs of each future state. It is shown that the dual cost at the next immediate stage dominates the future uncertainties, and the resulting optimal control problem is solved in closed form using this property.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123085011","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161138
A. Iftar
Decentralized optimal output feedback controller design is considered within the framework of extension and overlapping decompositions. It is shown that an overlapping decentralized output feedback control law which stabilizes the system and satisfies the necessary conditions of optimality for the original system can be obtained by simply contracting a decentralized nonoverlapping output feedback control law which achieves stability and satisfies the necessary conditions of optimality for the expanded system. The details of overlapping controller design for a particular pattern of overlapping are presented.<>
{"title":"Decentralized optimal control with overlapping decompositions","authors":"A. Iftar","doi":"10.1109/ICSYSE.1991.161138","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161138","url":null,"abstract":"Decentralized optimal output feedback controller design is considered within the framework of extension and overlapping decompositions. It is shown that an overlapping decentralized output feedback control law which stabilizes the system and satisfies the necessary conditions of optimality for the original system can be obtained by simply contracting a decentralized nonoverlapping output feedback control law which achieves stability and satisfies the necessary conditions of optimality for the expanded system. The details of overlapping controller design for a particular pattern of overlapping are presented.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"101-102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121578829","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161115
S. Chakravarti, T. Jung, S. Ahalt, A. Krishnamurthy
An overview of ongoing research related to the development of an image data compression algorithm using artificial neural networks (ANNs) is presented. The data compression technique under study uses an ANN to perform vector quantization (VQ). A good predictor is one of the essential components of the image compression technique being explored. The performance of the various predictors are compared including an average predictor, a median predictor, a recurrent artificial neural network (RANN) predictor, and a second-order optimal linear predictor. It is shown that, for some cases, a relatively simple recurrent artificial neural network predictor performs close to the second-order optimal linear predictor and better than the average and the median predictors.<>
{"title":"Comparison of prediction methods for differential image processing applications","authors":"S. Chakravarti, T. Jung, S. Ahalt, A. Krishnamurthy","doi":"10.1109/ICSYSE.1991.161115","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161115","url":null,"abstract":"An overview of ongoing research related to the development of an image data compression algorithm using artificial neural networks (ANNs) is presented. The data compression technique under study uses an ANN to perform vector quantization (VQ). A good predictor is one of the essential components of the image compression technique being explored. The performance of the various predictors are compared including an average predictor, a median predictor, a recurrent artificial neural network (RANN) predictor, and a second-order optimal linear predictor. It is shown that, for some cases, a relatively simple recurrent artificial neural network predictor performs close to the second-order optimal linear predictor and better than the average and the median predictors.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"5 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113939669","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161104
C. Peck, L. Arata, A. Dhawan
A spatially iterated multidimensional Fourier interpolation method (SIMFI) is presented. The method interpolates a multidimensional object from one or sets of parallel biplanes. It may be applied in medical tomographic imaging where a full-resolution, three-dimensional reconstruction is desired, but, due to time and radiation constraints, the data acquired from the scanner are limited to one or more sets of planar slices with large interspatial domain information. The data sets of parallel hyperplanes are used to compute an estimate of the Fourier domain of the object being reconstructed. After inverting the Fourier domain estimate into the spatial domain, the principle of projections onto convex sets (POCS) is used to further improve the reconstruction. This method is applied to a three-dimensional phantom and to a two-dimensional MRI image of the brain. The Fourier interpolation provides a good initial estimate for the iterative POCS technique.<>
{"title":"A new interpolation technique for orthogonal sets of tomographic medical images","authors":"C. Peck, L. Arata, A. Dhawan","doi":"10.1109/ICSYSE.1991.161104","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161104","url":null,"abstract":"A spatially iterated multidimensional Fourier interpolation method (SIMFI) is presented. The method interpolates a multidimensional object from one or sets of parallel biplanes. It may be applied in medical tomographic imaging where a full-resolution, three-dimensional reconstruction is desired, but, due to time and radiation constraints, the data acquired from the scanner are limited to one or more sets of planar slices with large interspatial domain information. The data sets of parallel hyperplanes are used to compute an estimate of the Fourier domain of the object being reconstructed. After inverting the Fourier domain estimate into the spatial domain, the principle of projections onto convex sets (POCS) is used to further improve the reconstruction. This method is applied to a three-dimensional phantom and to a two-dimensional MRI image of the brain. The Fourier interpolation provides a good initial estimate for the iterative POCS technique.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116765589","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161088
G. Bartolini, A. Ferrara
A simplified solution to the problem of adaptive pole assignment is presented, and the consequent reduction of the orders of the state variable filters which constitute the controller is outlined. It can be shown that the approach described can be used to deal with plants with unmodeled dynamics, but, contrary to most previous results, it does not require a perfect separation between fast and slow modes of the plant. The neglected modes can be also placed at the intermediate frequencies.<>
{"title":"A reduced-order adaptive control scheme for plants with inaccessible states","authors":"G. Bartolini, A. Ferrara","doi":"10.1109/ICSYSE.1991.161088","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161088","url":null,"abstract":"A simplified solution to the problem of adaptive pole assignment is presented, and the consequent reduction of the orders of the state variable filters which constitute the controller is outlined. It can be shown that the approach described can be used to deal with plants with unmodeled dynamics, but, contrary to most previous results, it does not require a perfect separation between fast and slow modes of the plant. The neglected modes can be also placed at the intermediate frequencies.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126496763","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161160
Z. Bhatti, S. Bibyk
Simulation of the Herault-Jutten (H-J) algorithm and its hardware implementation are discussed. Since the algorithm is general and realizable in hardware, numerous applications exist. Results shown that the circuit is effective for channel separation and works very well for separating individual speech from mixed-speech signals, i.e. speech enhancement in a multispeaker environment. When signals received from multiple sensors are mixed in an unknown manner because the sensors are dependent on more than one variable, the H-J algorithm is capable of separating them into the original uncorrupted signals for both linear and nonlinear mixing.<>
{"title":"Adaptive analog circuits to perform signal separation of multidimensional sensor signals","authors":"Z. Bhatti, S. Bibyk","doi":"10.1109/ICSYSE.1991.161160","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161160","url":null,"abstract":"Simulation of the Herault-Jutten (H-J) algorithm and its hardware implementation are discussed. Since the algorithm is general and realizable in hardware, numerous applications exist. Results shown that the circuit is effective for channel separation and works very well for separating individual speech from mixed-speech signals, i.e. speech enhancement in a multispeaker environment. When signals received from multiple sensors are mixed in an unknown manner because the sensors are dependent on more than one variable, the H-J algorithm is capable of separating them into the original uncorrupted signals for both linear and nonlinear mixing.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128365539","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161100
J. Farison, Young-In Shin, J.W.V. Miller
Linearly additive spatially invariant image sequences are defined, and an explicit mathematical model for describing them is presented. In such a sequence, all objects are positionally invariant in each image of the sequence but have varying gray-scale contributions to the successive images of the sequence. Three important types of spatially invariant image sequences are functional, parametric, and multispectral. The various components (features or processes) of the scene or object contribute additively to each image of the sequence, but each component has a characteristic variation (signature) from image to image due to the variation of the function, parameter, or spectral band over the sequence. Also presented are the general formulation, derivation, and explicit expression for the linear filter, called the simultaneous-diagonalization filter, that calculates a single new image from the sequence such that a desired process is emphasized and any number of undesired processes is suppressed in the filtered image.<>
{"title":"Explicit mathematical results for the representation and filtering of spatially-invariant image sequences","authors":"J. Farison, Young-In Shin, J.W.V. Miller","doi":"10.1109/ICSYSE.1991.161100","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161100","url":null,"abstract":"Linearly additive spatially invariant image sequences are defined, and an explicit mathematical model for describing them is presented. In such a sequence, all objects are positionally invariant in each image of the sequence but have varying gray-scale contributions to the successive images of the sequence. Three important types of spatially invariant image sequences are functional, parametric, and multispectral. The various components (features or processes) of the scene or object contribute additively to each image of the sequence, but each component has a characteristic variation (signature) from image to image due to the variation of the function, parameter, or spectral band over the sequence. Also presented are the general formulation, derivation, and explicit expression for the linear filter, called the simultaneous-diagonalization filter, that calculates a single new image from the sequence such that a desired process is emphasized and any number of undesired processes is suppressed in the filtered image.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"314 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132162412","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}
Pub Date : 1900-01-01DOI: 10.1109/ICSYSE.1991.161073
C. Stewart, V. Larson
The acoustic emission from a twin propeller aircraft is analyzed in the frequency domain. The time-varying power spectrum estimate of the signal is generated. The approach is to generate frequency spectra for fixed time segments of the signal using the Welch method. A confidence interval is calculated, and if the confidence interval is too wide, the power spectrum estimate is not incorporated into the detection decision. The spectral peaks in the power spectrum estimate are identified by thresholding with a local mean. An algorithm to detect and classify the aircraft based on these spectral peaks is proposed.<>
{"title":"Detection and classification of acoustic signals from fixed-wing aircraft","authors":"C. Stewart, V. Larson","doi":"10.1109/ICSYSE.1991.161073","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161073","url":null,"abstract":"The acoustic emission from a twin propeller aircraft is analyzed in the frequency domain. The time-varying power spectrum estimate of the signal is generated. The approach is to generate frequency spectra for fixed time segments of the signal using the Welch method. A confidence interval is calculated, and if the confidence interval is too wide, the power spectrum estimate is not incorporated into the detection decision. The spectral peaks in the power spectrum estimate are identified by thresholding with a local mean. An algorithm to detect and classify the aircraft based on these spectral peaks is proposed.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"03 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127454612","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}
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