“…Linear and nonlinear matrix equations have been widely used for solving many problems in several areas such as control theory, optimal control, optimization control, stability theory, communication system, dynamic programming, signal processing, and stochastic filtering and statistics, [1][2][3]. Many authors studied the existence of solutions for several classes of the matrix equations (see, e.g., [4][5][6][7][8][9][10][11][12][13][14]), in particular, Lyapunov matrix equation [15], Sylvester matrix equations [11,14], algebraic Riccati equations [3], some special case of linear and nonlinear matrix equations [16][17][18][19][20][21], and coupled matrix equations [22][23][24].…”