A numerical algorithm for solving power-exponent type nonlinear inequalities with applications in calculating stabilizing parameters for LTI systems. Issue 3 (2022)

• Record Type: Journal Article
• Authors: Chen, Zhihua; Guo, Yong; Zhang, Kai; Xie, Yongchun
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 3(2022)
• Page Start: 263
• Page End: 268
• Publication Date: 2022
• Subjects: Power-Exponent Function -- Nonlinear Inequalities -- Solution Set -- Numerical Algorithm -- LTI Systems -- Stabilizing Parameters -- State Feedback Control -- Constrained Nonlinear Optimization -- Margin Variable; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.05.046
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The paper proposes a numerical algorithm for finding a solution set of a class of power-exponent type nonlinear inequalities. The proposed numerical algorithm applies specifically to the case when the power-exponent is positive irrational number, which can't be effectively solved by using the existing methods. Firstly, by introducing a novel concept of margin variable and using the monotonicity of power-exponent function, this paper converts the problem of solving the nonlinear inequalities into a constrained nonlinear optimization (CNO) problem. Then the obtained CNO problem is solved by using the MATLAB function fmincon . Finally, a numerical algorithm to solve this class of inequalities is obtained. The proposed algorithm can find a solution set of the considered inequalities, not just one or few solutions. Further, the derived algorithm can be easily used to calculate the stabilizing parameter ranges for LTI systems based on the Routh-Hurwitz criterion. Moreover, an example of calculating the stabilizing parameters of a LTI system and an example of solving power-exponent type nonlinear inequalities are provided to show the effectiveness of the proposed algorithm.