In this study, an integral augmented sliding mode control (SMC+ I) has been proposed to
improve control performance of systems. Stability of the closed-loop system is guaranteed in …

This review paper introduces the modeling, measurement, identification and control of direct
current motors based on the state space modeling and the transfer function representation …

This study proposes a two-step identification method for estimating the four parameters of a
nonlinear model of a position-controlled servomechanism. In the first step, the proposed …

Conventional controllers are generally used to control the speed of the separately excited
DC motors in various industrial applications. It is found to be simple and high effective if the …

System modeling is a set of mathematical equations that describe the dynamical behavior of
a system. It is considered as a primary concern in determining a suitable controller to meet …

This paper considers the model discrimination problem among a finite number of models in
safety–critical systems that are subjected to constraints that can be disjunctive and where …

This paper presents a novel on-line closed-loop parameter identification algorithm for
second order nonlinear systems. Parameter convergence of the proposed methodology is …

Parameter identification is a major problem in industrial environments where it might be
difficult or even impossible in some situations. Moreover, non-measurable and unknown …

Sliding mode control (SMC) method is one of the robust control methods to handle systems
with model uncertainties, parameter variations and disturbances. In this study, a sliding …

Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a
selftuning control algorithm using pole placement and recursive identification is presented. A …