Petri nets: an introduction
A coordination theory for intelligent machines
Automatica (Journal of IFAC)
Fuzzy-neural control: principles, algorithms and applications
Fuzzy-neural control: principles, algorithms and applications
Industrial intelligent control: fundamentals and applications
Industrial intelligent control: fundamentals and applications
Realtime systems
Elements of distributed algorithms: modeling and analysis with Petri nets
Elements of distributed algorithms: modeling and analysis with Petri nets
Data reconciliation & gross error detection: an intelligent use of process data
Data reconciliation & gross error detection: an intelligent use of process data
Intelligent Control: Principles, Techniques and Applications
Intelligent Control: Principles, Techniques and Applications
Advances in Intelligent Control
Advances in Intelligent Control
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Computer Organization
Intelligent Supervisory Control: A Qualitative Bond Graph Reasoning Approach
Intelligent Supervisory Control: A Qualitative Bond Graph Reasoning Approach
Intelligent Adaptive Control: Industrial Applications
Intelligent Adaptive Control: Industrial Applications
Data Processing and Reconciliation for Chemical Process Operations
Data Processing and Reconciliation for Chemical Process Operations
Primer in Petri Net Design
A Concept of Hierarchical Petri Nets with Building Blocks
Papers from the 12th International Conference on Applications and Theory of Petri Nets: Advances in Petri Nets 1993
Timing Requirements for Time-Driven Systems Using Augmented Petri Nets
IEEE Transactions on Software Engineering
Artificial intelligence for monitoring and supervisory control of process systems
Engineering Applications of Artificial Intelligence
Conceptual design of remote monitoring and fault diagnosis systems
Information Systems
Expert Systems with Applications: An International Journal
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Until recently the concept of an integrated framework for coordinating operational tasks in industrial plants has not been possible due to technological limitations. Integration of functions within an intelligent system architecture would result in improved plant performance, safety and an increase in production. As a result of increased computing power and powerful memory systems, a fully computer integrated system is now possible, however, achieving an integrated framework for operational tasks is quite complex. Problems of task integration include not only the consideration of information flow and timing for a continuously changing environment, but the integration of various problem-solving methodologies. Integration frameworks proposed in the past fail to provide for a fully integrated system. A new approach to accommodate the changing dynamics of a plant's operation is now possible with the Coordinated Knowledge Management method. This paper reviews the components that need to be integrated to encompass intelligent process operation. It also reviews various integration frameworks outlining limitations and presents a proposed method of integration based on knowledge management.