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.1991.161115
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.1991.161089
M. A. Unseren
The dynamic coupling effects in the modeling and control of a multiple-joint serial-link manipulator turning a crank mechanism are considered. By dynamically distributing the load, i.e., the crank, the generalized contact forces are decomposed into internal stress and motion components. A rigid body model for the entire closed-chain system is developed. It is shown that a subset of the internal stress contact forces may be explicitly controlled while simultaneously and independently controlling the position of the system.<>
{"title":"Dynamic coupling effects in modeling and control of hard contact motion of a manipulator","authors":"M. A. Unseren","doi":"10.1109/ICSYSE.1991.161089","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161089","url":null,"abstract":"The dynamic coupling effects in the modeling and control of a multiple-joint serial-link manipulator turning a crank mechanism are considered. By dynamically distributing the load, i.e., the crank, the generalized contact forces are decomposed into internal stress and motion components. A rigid body model for the entire closed-chain system is developed. It is shown that a subset of the internal stress contact forces may be explicitly controlled while simultaneously and independently controlling the position of the system.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"38 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":"124962010","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.1991.161118
P. A. Ramamoorthy, S. Huang
It is pointed out that by merging the advantages of fuzzy expert systems and neural networks one can arrive at a more powerful yet more flexible system for inferencing and learning. The advantages of fuzzy expert systems are their ability to provide nonlinear mapping through the membership functions and fuzzy rules, and the ability to deal with fuzzy information and incomplete and/or imprecise data. The merger of these two concepts is explained using the truck backer-upper control problem. Novel network architectures obtained by merging these two concepts and simulation results for the truck backer-upper problem using the architecture are shown.<>
{"title":"Fuzzy expert systems vs. neural networks-truck backer-upper control revisited","authors":"P. A. Ramamoorthy, S. Huang","doi":"10.1109/ICSYSE.1991.161118","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161118","url":null,"abstract":"It is pointed out that by merging the advantages of fuzzy expert systems and neural networks one can arrive at a more powerful yet more flexible system for inferencing and learning. The advantages of fuzzy expert systems are their ability to provide nonlinear mapping through the membership functions and fuzzy rules, and the ability to deal with fuzzy information and incomplete and/or imprecise data. The merger of these two concepts is explained using the truck backer-upper control problem. Novel network architectures obtained by merging these two concepts and simulation results for the truck backer-upper problem using the architecture are shown.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"19 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":"127555850","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.1991.161133
E. Kolesar, R. Reston, D. G. Ford, R. Fitch
A two-dimensional, electrically multiplexed robotic tactile sensor fabricated by coupling a piezoelectric polyvinylidene fluoride (PVDF) polymeric film to a monolithic silicon integrated circuit (IC) is discussed. The integrated circuit incorporates 25 sensor electrodes arranged in a symmetrical 5*5 matrix. Each electrode occupies a 600- mu m by 600- mu m square area. A 25- mu m-thick PVDF film was attached to the electrode array with a nonconductive adhesive. The response of the tactile sensor is essentially linear for loads spanning 0.8 to 60 grams of force (GMF). The response bandwidth is 33 Hz, the hysteresis level is very small, and taxel crosstalk is not a significant problem. A precharge bias scheme has been implemented to stabilize the pre- and post-load sensor response. A simple tactile object image measurement process was evaluated to recognize the shapes of circular, rectangular, toroidal, and hexagonal loads.<>
{"title":"Object imaging with a multiplexed piezoelectric polymer tactile sensor","authors":"E. Kolesar, R. Reston, D. G. Ford, R. Fitch","doi":"10.1109/ICSYSE.1991.161133","DOIUrl":"https://doi.org/10.1109/ICSYSE.1991.161133","url":null,"abstract":"A two-dimensional, electrically multiplexed robotic tactile sensor fabricated by coupling a piezoelectric polyvinylidene fluoride (PVDF) polymeric film to a monolithic silicon integrated circuit (IC) is discussed. The integrated circuit incorporates 25 sensor electrodes arranged in a symmetrical 5*5 matrix. Each electrode occupies a 600- mu m by 600- mu m square area. A 25- mu m-thick PVDF film was attached to the electrode array with a nonconductive adhesive. The response of the tactile sensor is essentially linear for loads spanning 0.8 to 60 grams of force (GMF). The response bandwidth is 33 Hz, the hysteresis level is very small, and taxel crosstalk is not a significant problem. A precharge bias scheme has been implemented to stabilize the pre- and post-load sensor response. A simple tactile object image measurement process was evaluated to recognize the shapes of circular, rectangular, toroidal, and hexagonal loads.<<ETX>>","PeriodicalId":250037,"journal":{"name":"IEEE 1991 International Conference on Systems Engineering","volume":"26 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":"128259633","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.1991.161073
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}
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}
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