Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Adaptive Control
Stable fuzzy control system design with pole-placement constraint: an LMI approach
Computers in Industry
Fuzzy identification of a greenhouse
Applied Soft Computing
Static output feedback controller design for fuzzy systems: An ILMI approach
Information Sciences: an International Journal
Stability analysis for a class of Takagi--Sugeno fuzzy control systems with PID controllers
International Journal of Approximate Reasoning
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
IEEE Transactions on Computers
Perspectives of fuzzy systems and control
Fuzzy Sets and Systems
An approach to fuzzy control of nonlinear systems: stability and design issues
IEEE Transactions on Fuzzy Systems
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This paper proposes a control strategy for complex and nonlinear systems, based on a parallel distributed compensation (PDC) controller. A solution is presented to solve a stability problem that arises when dealing with a Takagi-Sugeno discrete system with great numbers of rules. The PDC controller will use a classical controller like a PI, PID, or RST in each rule with a pole placement strategy to avoid causing instability. The fuzzy controller presented combines the multicontrol approach and the performance of the classical controllers to obtain a robust nonlinear control action that can also deal with time-variant systems. The presented method was applied to a small greenhouse to control its inside temperature by variation in ventilation rate inside the process. The results obtained will show the efficiency of the adopted method to control the nonlinear and complex systems.