The paper introduces the concept of input-to-output practical stability (IOpS), a generalization of input-to-state stability (ISS) proposed by Sontag. The authors establish two key results: first, that the interconnection of two IOpS systems remains an IOpS system if the composition of their gain functions is smaller than the identity function; second, they provide an example of gain function assignment through feedback. These results are applied to address the problem of global asymptotic stabilization via partial-state feedback for linear systems with nonlinear, stable dynamic perturbations and systems with a particular disturbed recurrent structure. The paper also discusses the robust stabilization of uncertain dynamical systems using partial-state feedback and generalizes the "adding one integrator" technique. Key concepts include input-to-state stability, nonlinear systems, partial-state feedback, and global stability. The main theorems and proofs are detailed in Section 5.The paper introduces the concept of input-to-output practical stability (IOpS), a generalization of input-to-state stability (ISS) proposed by Sontag. The authors establish two key results: first, that the interconnection of two IOpS systems remains an IOpS system if the composition of their gain functions is smaller than the identity function; second, they provide an example of gain function assignment through feedback. These results are applied to address the problem of global asymptotic stabilization via partial-state feedback for linear systems with nonlinear, stable dynamic perturbations and systems with a particular disturbed recurrent structure. The paper also discusses the robust stabilization of uncertain dynamical systems using partial-state feedback and generalizes the "adding one integrator" technique. Key concepts include input-to-state stability, nonlinear systems, partial-state feedback, and global stability. The main theorems and proofs are detailed in Section 5.