{"title":"Process knowledge acquisition and control by quantitative and qualitative complementarity","authors":"T. Nakagawa , Y. Sawaragi , Y. Yagihara","doi":"10.1016/S0066-4138(09)91058-8","DOIUrl":"10.1016/S0066-4138(09)91058-8","url":null,"abstract":"<div><p>Even when an autoregressive model[1,2] is created and computer control is effected based on it, the subsequent measured values are sometimes imperfect due to disturbances in the process and noise in the measurements. This paper proposes an approach for overcoming this drawback of tight control by an AR model when it is impossible to carry out computer online control based on an autoregressive model. This approach in the broad sense of the term involves robust control in which model-based deep knowledge based on an existing AR model or mathematical model is used and converted to fuzzy qualitative oontrol. As an actual example we discuss a cement rotary kiln process, and we present an approach for process disturbances and incomplete measured values by transforming quantitative control into qualitative control and also making use of hidden information that cannot be abstracted without sensor fusion. As a feature of this method we discuss the effectiveness and purpose of the paradigm in which one does not quantify a qualitative model but rather goes in the opposite direction of qualitizing a quantitative model.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 353-358"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91058-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116865267","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-line residual compensation in robust fault diagnosis of dynamic systems","authors":"R.J. Patton, J. Chen","doi":"10.1016/S0066-4138(09)91037-0","DOIUrl":"10.1016/S0066-4138(09)91037-0","url":null,"abstract":"<div><p>This paper deals with the robust fault diagnosis problem for systems with unstructured uncertainties, for which disturbance de-coupling methods are not applicable. A technique for compensating the residual is proposed. By compensation, the effects of modelling errors on the residual will not adversely affect the detection and isolation of faults. The idea is to estimate approximately the bias term in the residuals due to modelling errors, then compensate it on-line. These estimates are used to form a compensated residual to decrease the effect of modelling errors on the residuals. The compensated residuals are then used to make the fault diagnosis decision. Simulation results illustrate the effect of incipient faults in sensors of a complex jet engine can be reliably detected with the method developed.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 221-227"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91037-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115686938","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":"Adaptive and supplementary intelligent control of power system stabilizers","authors":"J. Heydeman, G. Honderd","doi":"10.1016/S0066-4138(09)91030-8","DOIUrl":"10.1016/S0066-4138(09)91030-8","url":null,"abstract":"<div><p>The presentation is devoted to the methodology of design of an adaptive control algorithm combined with knowledge-based rules to improve the robustness of power-voltage control under variable load conditions and with a variable number of turbogenerators, which are connected to the tie line system.</p><p>This presentation is centered around a control-research project in the Netherlands. The power-generator system is modeled and field tests are carried out for verification. The purpose of the research project is to design and to implement an adaptive algorithm, based upon the PSS-approach, combined with observer filters.</p><p>Because of the fact that already a power system consisting of a cluster of generators with variable load conditions, operating in an isolated area, has several well-known boundary conditions, related to different operating points, the MRAC adaptive control algorithm has to be supervised by a set of rules, governed by a knowledge base. This expert-oriented knowledge is based upon the normal “intelligent” control actions as they are carried out by the unit operators. These rules are non-analytic and can be described by fuzzy membership functions.</p><p>In the presentation this fuzzy-set approach, in this project used to improve the adaptive-controlled behaviour, will be explained.</p><p>Experimental results of the total system will be presented.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 177-182"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91030-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114615264","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":"Genetic algorithms for processs control: A survey","authors":"J.M. Renders , J.P. Nordvik , H. Bersini","doi":"10.1016/S0066-4138(09)91053-9","DOIUrl":"10.1016/S0066-4138(09)91053-9","url":null,"abstract":"<div><p>This paper presents a survey of the potential use of Genetic Algorithms (GAs) for process control. GAs are a family of iterative search algorithms based on an analogy with the process of natural selection and evolutionary genetic. Application to off-line control is first envisaged, where GAs are used for task scheduling, calculation of optimal set points and design of optimal control strategies. Then application to on-line control is considered, focusing on system identification and enhancement of existing controllers, two problems for which GAs seem to offer the most promising results. After the description of possible applications of GAs to supervisory problem, the general advantages, drawbacks and limitations of applying GAs to process control are discussed, and further lines of research are drawn.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 323-328"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91053-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226980","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":"Supervision and control of an exothermic batch process","authors":"R. Perne","doi":"10.1016/S0066-4138(09)91041-2","DOIUrl":"10.1016/S0066-4138(09)91041-2","url":null,"abstract":"<div><p>A model based supervision and control system has been designed for exothermic chemical reactions, and batch processes in particular. Adaptive, extended Kalman filters reconstuct process states as well as reaction parameters and a Bayes-Markov process allows to discriminate between normal and unwanted process states. The new concept considerably reduces the time for one batch and warns of hazardous states at a very early stage, leaving enough time for counter actions.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 247-251"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91041-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125898687","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 knowledge acquisition and processing strategy based on formal concept analysis","authors":"G. Nowinski, V. Krebs","doi":"10.1016/S0066-4138(09)91018-7","DOIUrl":"https://doi.org/10.1016/S0066-4138(09)91018-7","url":null,"abstract":"<div><p>A new method for knowledge acquisition and processing is developed by using the mathematical theory of formal concept analysis. First it is demonstrated how a decision table for a process control problem (distillation column) is obtained by a dialogue between the expert and the computer. Then the concept analysis approach is briefly outlined. This enables an optimization of conventional expert systems. However, more important for practical real time applications is the direct processing of the knowledge contained in a decision table by combining concept analysis with Shannon's entropy. Thus the resulting knowledge based system is optimal in an information theoretical view. It can be implemented in a procedural language and therefore simply be embedded into existing process control systems.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 103-108"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91018-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138372230","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":"Architectures and techniques of artificial intelligence in process control","authors":"J. Efstathiou","doi":"10.1016/S0066-4138(09)91061-8","DOIUrl":"10.1016/S0066-4138(09)91061-8","url":null,"abstract":"<div><p>Artificial Intelligence has been applied in process control, using a range of AI techniques, such as rules, fuzzy logic and neural nets, and architectures, including blackboards, layered architectures and, most recently, distributed and multi-agent architectures. In the early days, expert systems in process control were seen as a way of possibly removing the operator from the control loop. But as applications have become more complex and the processes are becoming managed rather than merely controlled, the role of the operator has changed. It was never possible to define permanently the operator's role when supported by an intelligent machine, so now are we are seeing the emergence of negotiation and dialogue between operator and machine for dynamic allocation of control tasks?</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 371-376"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91061-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132709","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":"Model-based diagnosis for continuous process supervision: The Alexip experience","authors":"S. Cauvin, B. Braunschweig, P. Galtier, Y. Glaize","doi":"10.1016/S0066-4138(09)91068-0","DOIUrl":"10.1016/S0066-4138(09)91068-0","url":null,"abstract":"<div><p>The Alexip knowledge-based system uses model-based reasoning to analyse Alphabutol petrochemical units' dynamic behaviour. A good understanding of what is going on is needed to suggest the corrective actions which must be taken to maintain the unit in a desirable state. This means, as a number of variables are involved, that the system must be able to take into account factors such as time-delays, combination of upsets, noisy data. In this paper we discuss the diagnostic part of the knowledge-based system. The method we present involves a qualitative description of single events that may occur in the process unit and a general reasoning mechanism (written in first-order logic) that achieves diagnosis based on the qualitative description. Since the reasoning is totally general, the method is generic and can be applied to any process. Events will only need to be described according to the procedure we define.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 415-421"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91068-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124539088","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":"Predicting and improving response-times of perfect-models","authors":"J.M.A. Sassen , A. Ollongren , R.B.M. Jaspers","doi":"10.1016/S0066-4138(09)91083-7","DOIUrl":"10.1016/S0066-4138(09)91083-7","url":null,"abstract":"<div><p>PERFECT (Programming EnviRonment For Expertsystems Constrained in reasoning Time) aims at supporting knowledge engineers during the development of real-time knowledge based systems (RTKBS). It provides support at the knowledge level (Newell, 1981) in offering guidance in modeling complex industrial processes, and in supplying ways to use this knowledge model during problem solving. Apart from support in modeling, PERFECT also provides support at the level of (real-time) software engineering by means of an analyzer that predicts the response-time of the knowledge model at run-time. In case the response-times are not as required, the analyzer proposes an alternative structure for the knowledge model.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"17 ","pages":"Pages 515-520"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0066-4138(09)91083-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116377572","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":"Development of a workstation environment for the assessment of a stormwater drainage fee","authors":"E.H Kienegger","doi":"10.1016/0066-4138(92)90004-9","DOIUrl":"10.1016/0066-4138(92)90004-9","url":null,"abstract":"<div><p>The design and development of a workstation for the assessment of a stormwater drainage fee based on built-up surfaces is described. The work was performed under contract to the City and County of Denver, Colorado, USA.</p><p>The requirement for such a system was prompted by the City's decision to institute a fee for the expansion and maintenance of the City's stormwater drainage system. This fee should be based on the total amount of impervious surfaces (i.e. buildings, driveways, sidewalks) on the different properties. To determine the impervious areas on a parcel by parcel basis a method was selected that employs aerial photography in combination with existing property boundaries available on hand drawn assessor maps.</p><p>Project requirements, setup and organization, and the implementation of the user requirements are briefly described. Subsequently, the strengths and weaknesses of the chosen approach are reviewed followed by a discussion of the experiences gained after more than three years of operation at the user's site.</p></div>","PeriodicalId":100097,"journal":{"name":"Annual Review in Automatic Programming","volume":"16 ","pages":"Pages 21-27"},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0066-4138(92)90004-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"100422232","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}