Disclosed in the present disclosure is a multi-parameter stability domain solving method for closed-loop stability analysis of a control system. According to the method, the flight quality requirements of the control system are converted into constraint conditions for the distribution of closed-loop poles in a complex plane, and a super-ellipsoid region is used to describe the multi-parameter stability domain of a model. Firstly, a protection mapping theory is used to calculate the stability domain of each single parameter, so as to obtain a box constraint form for all model parameters; and secondly, a multi-parameter super-ellipsoid is constructed according to the boundary values of the multi-parameter box constraint, and is marked as an initial super-ellipsoid. The value of the protection mapping is considered as an optimization target, the model parameters are considered as optimization variables, the scaling ratio of the stability domain of multiple variables is determined by constructing an optimization problem of the multiple variables within the super-ellipsoid, and finally the super-ellipsoid stability domain of the multiple variables is determined. The present invention can quantitatively determine, in the case where there are many model parameters, the change ranges of model parameters that satisfy performance indicators, and has a higher engineering application value.
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