ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Adaptive Multi-Model CMAC-Based Supervisory Control for Uncertain MIMO Systems
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Optimal adaptive fuzzy control for a class of unknown nonlinear systems
WSEAS Transactions on Systems and Control
Decentralized adaptive fuzzy control for a class of nonlinear systems
WSEAS Transactions on Systems and Control
Model predictive control using fuzzy decision functions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Hybrid compensation control for affine TSK fuzzy control systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Predictive functional control based on fuzzy model for heat-exchanger pilot plant
IEEE Transactions on Fuzzy Systems
Fuzzy predictive control of a solar power plant
IEEE Transactions on Fuzzy Systems
An optimal T-S model for the estimation and identification of nonlinear functions
WSEAS Transactions on Systems and Control
Stabile algorithms switching for multiple models control systems
WSEAS TRANSACTIONS on SYSTEMS
PSO based single and two interconnected area predictive automatic generation control
WSEAS Transactions on Systems and Control
WSEAS TRANSACTIONS on SYSTEMS
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In this paper, a novel generalized predictive control (GPC) strategy using multiple models approach has been presented. The proposed strategy is realized based on the Takagi-Sugeno-Kang (TSK) fuzzy-based modeling for control of a tubular heat exchanger system. In this strategy, different operating environments of the system with varying parameters are first identified. Then for each environment, a linear model and its corresponding fuzzy predictive controller are designed. For demonstrating the effectiveness of the proposed approach, simulations are done and the results are compared with those obtained using the single model predictive control approach. The results can verify the validity of the proposed control scheme.