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This paper presents a combined fault-tolerant and predictive control strategy for network-based industrial processes, utilizing a double-layer architecture to address tracking and optimization issues. The device layer employs output feedback fault-tolerant control to manage random failures and network-induced delays, while the operation layer utilizes nonlinear model predictive control to stabilize the system and maximize profit. Simulation results demonstrate the effectiveness of the proposed method in ens
- Author
- Rama Subramanian
- Language
- EN