“…The most important control objectives that have been considered in the control of dynamic systems are improving the robustness of systems, improving transient responses, and reducing the steady-state error. To achieve the desired characteristic of the control system, there are several control methods such as sliding mode control (Binazadeh and Shafiei, 2013, 2014; Dastaviz and Binazadeh, 2019, 2020; Mohammadpour and Binazadeh, 2018; Shtessel et al, 2014), Lyapunov redesign (Binazadeh and Rahgoshay, 2016; Kamarudin et al, 2019), H ∞ control (Gholami and Binazadeh, 2019; Aidoud and Sedraoui 2018; Saravanakumar et al, 2018), adaptive control (Adloo and Shafiei 2019; Azhdari and Binazadeh, 2020; Guo and Wen, 2011) and Linear matrix inequality (LMI)-based control (Asadinia and Binazadeh, 2019; Baleghi and Shafiei, 2018; Motahhari and Shafiei, 2020) that focus on the robustness of the closed-loop systems in the presence of uncertain terms and/or external disturbances. These methods have usually been designed based on Lyapunov analysis to meet the desired system performances that lead to the elimination of steady-state error in tracking or regulation problems.…”