Fuzzy relation matrix model control system for indoor thermal comfort
室内热舒适环境的模糊关系矩阵模型控制系统

For nonlinear control systems with multiple outputs which cannot be decoupled, we make use of the sampling data of the real system to obtain a fuzzy relation matrix model via the semi-tensor product (STP) operation of matrices, and design a novel fuzzy controller based on this model. In this method, the traditional fuzzy logic-reasoning and fuzzy rulebuilding in the fuzzy control system are converted into matrix algebraic computations, effectively reducing the complexity in modeling and control. This method has been applied to design the controller for indoor thermal comfort control. On the basis of the indoor and outdoor temperature, humidity etc., we calculate the fuzzy relation matrix and build the fuzzy controller. Experiments and simulation results show that this fuzzy controller can realize the optimal control of the thermal comfort system, without the need of decoupling multiple outputs.