{"title":"Intelligent systems for reliability","authors":"K. Aboura, N. Singpurwalla, R. Soyer","doi":"10.1109/ISIC.1988.65413","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65413","url":null,"abstract":"The authors discuss the use of expert opinion in reliability assessment. They present an approach for the analysis of life-length data that can be described by a Weibull distribution. They address the problem of predicting the number of defects due to fatigue in a railroad track. In both cases, a Bayesian approach is taken and procedures are developed and implemented on a personal computer.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129295372","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":"Approaches on multi-sensor fusion under time-evolving conditions","authors":"R. Luo, W.S. Yang, M.-H. Lin","doi":"10.1109/ISIC.1988.65423","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65423","url":null,"abstract":"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.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126647477","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":"Maintainability analysis for intelligent controls","authors":"D. Raheja, G. Raheja","doi":"10.1109/ISIC.1988.65462","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65462","url":null,"abstract":"The issue of software maintainability analysis for intelligent controls is discussed. Software maintainability can be expressed as the probability that the downtime caused by software error shall be no more than a specified time when maintenance action is performed in accordance with the prescribed procedures and resources. The proposed approach makes use of systematic analysis such as failure modes, effects, and criticality analysis (FMECA) or an equivalent methodology. The purpose is to predict missing requirements that could help in reducing the downtime. The procedure used involves constructing the program instruction flow chart, documenting maintainability requirements, and software failure mode and effects analysis. Examples of the development of requirements are presented.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123189047","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":"On a robust model-reference adaptive control system","authors":"J. Bialasiewicz, J. Proano","doi":"10.1109/ISIC.1988.65496","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65496","url":null,"abstract":"A new type of model-reference adaptive control system is presented. The system state estimator of this adaptive system is described by the differential equation of the reference model with the feedback speeding up the estimator action during the tuning-up of the controller parameters and vanishing when the system performance approaches that of the reference model. This model-reference adaptive control system can be used to obtain the requested dynamics of the closed-loop system, which can be chosen within a wide range of speed with respect to the dynamics of the plant. Results of a simulation study show that the proposed controller can be used to control an unstable plant as well as to get a fast and well-damped response of a plant with a very small damping ratio and relatively high undamped natural frequency. The proposed approach to the estimation of the system state results in very fast estimator performance during the tuning process of the controller and in an estimation error approaching zero. This is because the estimated system performance and the estimator performance both approach that of the reference model.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211468","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":"Applying intelligent robotics and vision to mail processing","authors":"J. Lee, F. Glickman","doi":"10.1109/ISIC.1988.65521","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65521","url":null,"abstract":"The vision-guided robotic irregular parcels and pieces singulation (generalized bin-picking) and address block location technologies are described. The technological requirements and limitations are examined and discussed. Other mail singulation technologies for letters and flats that use vision-guided intelligent robots and computer-controlled intelligent mechanisms are reviewed.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115311273","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":"Real time experiments in neural network based learning control during high speed nonrepetitive robotic operations","authors":"W. Miller, R. Hewes","doi":"10.1109/ISIC.1988.65484","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65484","url":null,"abstract":"A learning control technique which uses an extension of the CMAC (cerebellar model articulation controller) network developed by J.S. Albus is discussed, and the results of real-time control experiments which involved learning the dynamics of a five-axis industrial robot during high-speed, nonrepetitive movements are presented. During each control cycle, a training scheme was used to adjust the weights in the network in order to form an approximate dynamic model of the robot in appropriate regions of the control space. Simultaneously, the network was used during each control cycle to predict the actuator drives required to follow a desired trajectory, and these drives were used as feedforward terms in parallel to a fixed gain linear feedback controller. Trajectory tracking errors were found to converge to low values within a few training trails for both repetitive and nonrepetitive operations.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121199213","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":"Design of an intelligent robotic system using microprocessor based configuration and logic design techniques","authors":"P. H. Yuan, K. Valavanis","doi":"10.1109/ISIC.1988.65501","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65501","url":null,"abstract":"An architectural model is proposed for intelligent robotic systems (IRSs). Specific hardware mechanisms are described for the organization and coordination levels using microprocessor-based and discrete logic design techniques. The overall system is modeled as a loosely coupled parallel distributed processing system which is shown to preserve the hierarchical structure and the principle of increasing intelligence with decreasing precision. Modifications can be performed within one or more of the subsystems without violation of the overall system structure. In addition, the scheme provides flexibility, incorporating functionality for various application domains without modifications of the configuration of the overall IRS. Intensive calculations are distributed among different parts of the machine, resulting in higher performance.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123647089","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":"Integrated architecture for intelligent control","authors":"M. Rao, T. Jiang, J. Tsai","doi":"10.1109/ISIC.1988.65409","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65409","url":null,"abstract":"A novel architecture for controlling and managing large-scale intelligent systems is presented, in which the different expert systems and numerical computation routines are coordinated by a metasystem. These expert systems and numerical routines may be written in different languages or programming tools, debugged and used separately. In this way, it is possible to easily add new programs and reduce the scope of rule search to enhance efficiency. Moreover, the optimal solution can be selected among the conflict results, and parallel processing become feasible in the integrated intelligent system. It is concluded that this architecture can serve as a universal configuration to develop high-performance intelligent systems for many complicated industrial applications in real-world domains.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125234172","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":"An intelligent dynamic simulation environment: an object-oriented approach","authors":"J. Robinson, R. Kisner","doi":"10.1109/ISIC.1988.65514","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65514","url":null,"abstract":"The authors present a prototype simulation environment for nuclear power plants which illustrate the application of object-oriented programming within a LISP environment to process simulation. Systems are modeled using this technique as a collection of objects which communicate via message passing. The environment allows users to build simulation models by selecting iconic representations of plant components from a menu and connecting them with the aid of a mouse. Models can be modified graphically at any time, even as the simulation is running, and the results can be observed immediately via real-time graphics. Advantages of an object-oriented approach to simulation include a high degree of modularity, the data abstraction afforded by classes, code reusability due to inheritance, and the ability to exploit the polymorphic nature of message passing to build very generic procedures. The interpretive nature of LISP eliminates the tedious compile-link-run cycle and allows dynamic, reconfigurable models to be built in a highly interactive manner.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126343596","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":"Motion control with process abstraction","authors":"J. Kearney, D.H. Lee","doi":"10.1109/ISIC.1988.65464","DOIUrl":"https://doi.org/10.1109/ISIC.1988.65464","url":null,"abstract":"Abstract control processes are introduced as a means of achieving robust device-independent control of articulated objects. The goal is to relax the binding between abstract motion constraints and physical actuators. The motion of a control process that encapsulates an abstract constraint on an articulated body is introduced. Logically independent constraints are represented by separate, concurrently executing processes. Embedded in the definition of a process is a specification of the resources needed to accomplish its goals. A process manager distributes resources (e.g. actuators) to active processes. The specific set of actuators controlled by a process may change from moment to moment as other processes are activated and deactivated. As an illustration of this technique, a method for balancing a multilinked figure in the Newton simulation system is presented.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129291177","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}