Reconfiguration control strategy using Takagi–Sugeno model predictive control for network control systems – a magnetic levitation case study
Héctor Benítez‐Pérez, Jorge Luis Ortega-Arjona, F. Cárdenas-Flores, Pedro Quinones-Reyes · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering · 2010
This paper presents a reconfiguration control strategy for network control systems that makes use of a fuzzy Takagi–Sugeno model for predictive control. The dynamic behaviour of a network control system is modelled by using a real-time implementation of the scheduling algorithm. Here, this is applied for a magnetic levitation system, as a plant that is also modelled using a fuzzy Takagi–Sugeno approach. Thus, this paper covers several design issues, such as how to model a computer network, a plant, and a reconfiguration control strategy, as well as how the reconfiguration control strategy is modified using the fuzzy approach.