Multiple fuzzy model-based temperature predictive control for HVAC systems
Information Sciences: an International Journal
Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system
AEE'08 Proceedings of the 7th WSEAS International Conference on Application of Electrical Engineering
Fuzzy multiple modeling and fuzzy predictive control of a tubular heat exchanger system
ACACOS'08 Proceedings of the 7th WSEAS International Conference on Applied Computer and Applied Computational Science
Fault Tolerant Control of a Three Tank Benchmark Using Weighted Predictive Control
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Multiple modeling and fuzzy predictive control of a tubular heat exchanger system
WSEAS Transactions on Systems and Control
LMI based design of constrained fuzzy predictive control
Fuzzy Sets and Systems
Fault tolerant control using a fuzzy predictive approach
Expert Systems with Applications: An International Journal
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Fuzzy predictive control integrates conventional model predictive control with techniques from fuzzy multicriteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the (fuzzy) goals and the (fuzzy) constraints of the control problem is combined by using a decision function from the theory of fuzzy sets. This paper investigates the use of fuzzy decision making (FDM) in model predictive control (MPG), and compares the results to those obtained from conventional MPG. Attention is also paid to the choice of aggregation operators for fuzzy decision making in control. Experiments on a nonminimum phase, unstable linear system, and on an air-conditioning system with nonlinear dynamics are studied. It is shown that the performance of the model predictive controller can be improved by the use of fuzzy criteria in a fuzzy decision making framework