A colored Petri net (CPN) model of a cell controller capable of real-time control and monitoring of multiple workstations is described. The need to incorporate the ideas of both computer integrated manufacturing (CIM)...
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A colored Petri net (CPN) model of a cell controller capable of real-time control and monitoring of multiple workstations is described. The need to incorporate the ideas of both computer integrated manufacturing (CIM) and flexible manufacturing systems (FMS) is discussed, and the controller is based on these concepts. The CPN for the cell controller is presented and described. The controller in this case controls two workstations: the Cincinnati Milacron 5VC machining center and a robotic assembly workstation using an Adept.robot. An analysis of the net is performed, and relevant portions are presented. A data structure for implementing this type of a CPN is given. The code for the controller is divided into application-dependent and -independent code. An execution algorithm is provided. The conclusions emphasize the advantages of CPNs in modeling and analysis for discrete-event control of manufacturing systems.< >
A solution is presented to the L/sup 1/ minimization problem for plants with commensurate delays. In the special case where the weight has one pole, the problem can be solved by a single linear programming problem. Ot...
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A solution is presented to the L/sup 1/ minimization problem for plants with commensurate delays. In the special case where the weight has one pole, the problem can be solved by a single linear programming problem. Other special cases are also presented. A method for computing the optimal performance and a characterization of minimizing solutions are given.< >
A paradigm for optimum estimation of fused multiple sensor data is developed in order to best use the sensor information in the time evolving environment. Two basic approaches have been developed: dynamic moving quadr...
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A paradigm for optimum estimation of fused multiple sensor data is developed in order to best use the sensor information in the time evolving environment. Two basic approaches have been developed: dynamic moving quadratic curve fitting and weighted least mean square error. These two approaches are shown to be advantageous in terms of accuracy, speed, and versatility. The theoretical frameworks presented are supported by sets of simulation data.< >
The Laplacian of Gaussian (LoG) operator is one of the most popular operators used in edge detection. This operator, however, has some problems: zero-crossings do not always correspond to edges, and edges with an asym...
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The Laplacian of Gaussian (LoG) operator is one of the most popular operators used in edge detection. This operator, however, has some problems: zero-crossings do not always correspond to edges, and edges with an asymmetric profile introduce a symmetric bias between edge and zero-crossing locations. The authors offer solutions to these two problems. First, for one-dimensional signals, such as slices from images, they propose a simple test to detect true edges, and, for the problem of bias, they propose different techniques: the first one combines the results of the convolution of two LoG operators of different deviations, whereas the others sample the convolution with a single LoG filter at two points besides the zero-crossing. In addition to localization, these methods allow them to further characterize the shape of the edge. The authors present an implementation of these techniques for edges in 2-D images.< >
A decentralized adaptive control is proposed to stabilize and track the nonlinear interconnected subsystems with unknown parameters. The adaptation of the controller gain is derived by using model reference adaptive c...
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A decentralized adaptive control is proposed to stabilize and track the nonlinear interconnected subsystems with unknown parameters. The adaptation of the controller gain is derived by using model reference adaptive control theory based on Lyapunov's direct method. The adaptive gains consist of sigma , proportional, and integral combination of the measured and reference values of the corresponding subsystem. The proposed control is applied to the joint control of a two-link robot manipulator, and the performance in computer simulation corresponds with what is expected in theoretical development.< >
作者：
Franklin, Wm. RandolphElectrical
Computer and Systems Engineering Dept. 6026 J.E.C. Rensselaer Polytechnic Institute TroyNY12180 United States
Calculating properties of polyhedra given only the set of the locations and neighborhoods of the verticesis easy. Possible properties include volume, surface area, and point containment testing. No global topological ...
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Serial correlation coefficients are useful measures of the interdependence of successive waiting times. Potential applications include the development of linear predictors and determining simulation run lengths. This ...
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The interface recombination velocity at n+ GaAs/n GaAs and n+ Al.15Ga.85As/n GaAs are reported for various dopings. It is seen that with an n+ GaAs cap layer it is possible to reduce the interface recombination veloci...
The interface recombination velocity at n+ GaAs/n GaAs and n+ Al.15Ga.85As/n GaAs are reported for various dopings. It is seen that with an n+ GaAs cap layer it is possible to reduce the interface recombination velocity to ~ 4.4×10−3 cm/s. This can be further reduced by employing an AlGaAs cap, due to the increased barrier caused by the valence band discontinuity.
A scheme is proposed for image decomposition into components having spatial frequency band and orientation selectivity characteristic of the visual system. The Hexagonal-discrete-Fourier-transform (HDFT) of an hexagon...
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The paper presents a frequency-domain estimator which can identify both a nominal model of a plant as well as a frequency-domain bounding function on the modeling error associated with this nominal model. This estimat...
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The paper presents a frequency-domain estimator which can identify both a nominal model of a plant as well as a frequency-domain bounding function on the modeling error associated with this nominal model. This estimator, which we call a robust estimator, can be used in conjunction with a robust control-law redesign algorithm to form a robust adaptive controller.
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