On the control of discrete-event systems
Three decades of mathematical system theory
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Formal Specification and Synthesis of Procedural Controllers for Process Systems
Formal Specification and Synthesis of Procedural Controllers for Process Systems
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Introduction to Discrete Event Systems
Introduction to Discrete Event Systems
Control of systems integrating logic, dynamics, and constraints
Automatica (Journal of IFAC)
| Hi-index | 0.00 |
This paper presents a supervisory control scheme based on the hybrid systems theory and fuzzy events detection approach presented in [1]. The fuzzy event detector is a linguistic model, which synthesizes complex relations between process variables and process events incorporating experts' knowledge about the process operation. The detection feature allows the anticipation of appropriate control actions, which depend upon the selected membership functions used to characterize the process under scrutiny. Additionally, it is also proposed a fuzzy logic based intelligent hierarchical system, which assigns priorities among simultaneous generated events in complex processes. The performance of the suggested scheme is applied to a theoretical evaporation system in terms of computational simulation results.