Expert System Intervention Research Articles

Expert adaptive control applied to turbogenerator systems

Deficiencies in the performance of conventional controllers has led to the development of self-tuning strategies for excitation control of turbogenerator systems. However, before such schemes can be implemented substantial monitoring or jacketing software is required. An expert system is proposed to perform these duties, allowing a distinction to be made between the control and identification algorithms and the accompanying supervisory functions. Test results on a laboratory microalternator are presented, illustrating the advantages of self-tuning control and how expert system intervention enhances controller performance and robustness.

Latent transition analysis for longitudinal data

Assessing outcome is a critical problem for the study of addictive behaviors. Traditional approaches often lack power and sensitivity. Latent Transition Analysis is an alternative procedure that is applicable to categorical latent variable models such as stage models. The method involves four different types of parameters, each of which may be relevant to different research questions. Two examples that employ the Stages of Change construct are used to illustrate the method. In the first example, three different models of longitudinal change are compared. In the second example, the effects of an expert system intervention for smoking is compared to a control condition. The method permits the investigation of a series of specific comparisons: (1) the effectiveness of the intervention for individuals in different stages can be assessed; (2) the effectiveness of the intervention can be evaluated for different time intervals; and (3) the effects of intervention on both progression through the stages and regression through the stages or relapse can be assessed. Other potential applications of the method are also discussed.

Latent transition analysis for longitudinal data

Assessing outcome is a critical problem for the study of addictive behaviors. Traditional approaches often lack power and sensitivity. Latent Transition Analysis is an alternative procedure that is applicable to categorical latent variable models such as stage models. The method involves four different types of parameters, each of which may be relevant to different research questions. Two examples that employ the Stages of Change construct are used to illustrate the method. In the first example, three different models of longitudinal change are compared. In the second example, the effects of an expert system intervention for smoking is compared to a control condition. The method permits the investigation of a series of specific comparisons: (1) the effectiveness of the intervention for individuals in different stages can be assessed; (2) the effectiveness of the intervention can be evaluated for different time intervals; and (3) the effects of intervention on both progression through the stages and regression through the stages or relapse can be assessed. Other potential applications of the method are also discussed.

Expert Self-Tuning Control for an Automatic Voltage Regulator

The practical application of adaptive controllers requires the addition of substantial supervision strategies in the form of jacketing software. An elegant approach introduces an expert system to perform all monitoring functions, creating a distinction between the identification and control algorithms. A self-tuning automatic voltage regulator has been established on an industry standard VME platform linked to a network of Inmos transputers. Test results on a 3 kVA laboratory micromachine system are presented, illustrating how the performance and robustness of the adaptive controller can be greatly enhanced through expert system intervention

Expert control of a self-tuning automatic voltage regulator

The practical implementation of self-tuning controllers normally requires the incorporation of substantial monitoring/jacketing software schemes. By introducing an expert system to perform such duties, a distinction can be made between control and identification algorithms, and their associated supervisory functions. The adaptive controller has been established on an industry-standard VME platform linked to a network of Inmos transputers. Illustrations are given of how the performance and robustness of the self-tuning automatic voltage regulator can be significantly improved, through expert-system intervention, on a 3-kVA laboratory micromachine system.

Self-tuning expert control for turbogenerator systems

Practical application of adaptive controllers necessitates the incorporation of substantial monitoring or jacketing software. An expert system is proposed to perform such duties, allowing a distinction to be made between the control and identification algorithms, and the accompanying supervisory functions. The implications of employing expert systems for real-time environments are outlined, along with their consequences for control of a turbogenerator excitation system. An industry standard VME platform linked to a network of Inmos T800 transputers is used to establish the self-tuning expert controller. Illustrations are given of how the performance and robustness of the adaptive controller can be greatly improved through expert system intervention, both in simulation and on a laboratory micromachine system.

An expert system intervention for smoking cessation.

Intervention efficacy can be increased when the treatment is maximally matched to the needs of the client. One means of achieving such matching is through use of an expert system, a computer-based decision-making system designed to utilize client information to produce unique, matched information and interventions. An expert system can combine the individual matching possible in a clinic-based intervention and the low cost associated with a public health approach. This paper begins by discussing several alternative implementations of the expert system approach within the general context of communication theory. Second, the theoretical model and related empirical evidence which form the basis of the expert system is described briefly. Third, the details of a computer-driven, expert system intervention specifically developed for smoking cessation is described. Finally, empirical results from a study comparing the expert system intervention to three alternative interventions for smoking cessation are presented. In general, the expert system approach can provide a cost effective, viable, and efficacious means of intervening in a specific problem behavior area. Implications and potential areas of development are discussed.

Expert systems and information retrieval

The existing bibliographic retrieval systems are too complex to permit direct on-line access by untrained end users. Expert system approaches have been introduced in the hope of simplifying the document indexing, search and retrieval operations and rendering these operations accessible to end users. The expert system approach is examined briefly in this note and the conclusion is reached that expert systems are unlikely to provide much relief in ordinary retrieval environments. Simpler and more effective retrieval systems than those currently in use can be implemented by falling back on methodologies proposed and evaluated over twenty years ago that operate without expert system intervention.