A multitasking knowledge-based system for control applications

Date

1999

Author

Tolun, Mehmet
Baykal, Nazife
Abu-Shaar, S.

Metadata

Show full item record

Item Usage Stats

160
views

0
downloads

Knowledge-based systems can provide several intelligent features for control applications, which decrease their dependency on human operators. As industrial systems become more complex, the response time and the amount of thinking required to control a large number of instruments far surpass the capability of humans. This paper describes a knowledge-based tool architecture that is supported by a multitasking inference engine and an interfacing hardware for data acquisition. The tool Features a high-level language for creating rules, models and procedures. It also includes concurrent execution of rules and the ability to reason about behavior over time.

Subject Keywords

International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA 99)

URI

https://hdl.handle.net/11511/52497

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

A hybrid swarm intelligence algorithm for simultaneous feature selection and clustering Geren, Hasan; Özdemirel, Nur Evin; Department of Industrial Engineering (2022-6-20) In this study, we address the feature selection and clustering problems by using a hybrid swarm intelligence approach. We assume that the number of clusters is known, clusters can be of any shape and have different densities, but there are no outliers or noise. The data set may have high dimensionality and redundant features. We propose a swarm intelligence algorithm, namely ACOVNS, which is a hybridization of Ant Colony Optimization (ACO) and Variable Neighborhood Search (VNS). We utilize the ACO mechanism...
A Deep Incremental Boltzmann Machine for Modeling Context in Robots Doğan, Fethiye Irmak; Çelikkanat, Hande; Kalkan, Sinan (2018-05-25) Context is an essential capability for robots that are to be as adaptive as possible in challenging environments. Although there are many context modeling efforts, they assume a fixed structure and number of contexts. In this paper, we propose an incremental deep model that extends Restricted Boltzmann Machines. Our model gets one scene at a time, and gradually extends the contextual model when necessary, either by adding a new context or a new context layer to form a hierarchy. We show on a scene classific...
A behavior based robot control system using neuro-fuzzy approach Öğüt, Demet; Alpaslan, Ferda Nur; Department of Computer Engineering (2003) In autonomous navigation of mobile robots the dynamic environment is a source of problems. Because it is not possible to model all the possible conditions, the key point in the robot control is to design a system that is adaptable to different conditions and robust in dynamic environments. This study presents a reactive control system for a Khepera robot with the ability to navigate in a dynamic environment for reaching goal objects. The main motivation of this research is to design a robot control, which i...
A context-aware and workflow-based framework for pervasive environments Avenoglu, Bilgin; Eren, Pekin Erhan (2019-01-01) Using currently available infrastructure in pervasive environments it is possible to provide intelligent mechanisms that offer people help and guidance for organizing their daily activities. In this study, a framework providing such capabilities is proposed. This framework allows users to model their daily activities in the form of workflows, which are adaptable at run-time according to context information collected in pervasive environments. A workflow engine is used for modelling and management of workflo...
A shared-medium communication architecture for distributed discrete event systems Schmidt, Klaus Verner; Zaddach, J. (2007-06-29) Recently, several efficient supervisor synthesis approaches for distributed discrete event systems (DES) have been established. In this paper, the implementation of such supervisors on interacting distributed programmable logic controllers (PLCs) on a network is considered for the hierarchical and decentralized control approach elaborated in our previous work. A communication model that captures the controller behavior relevant for communication is developed, and a network architecture together with a sched...

Citation Formats

M. Tolun, N. Baykal, and S. Abu-Shaar, “A multitasking knowledge-based system for control applications,” 1999, vol. 55, p. 513, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52497.