in this research, recognition of karstic water-bearing zones using the management of exploration data in kal-qorno valley, situated in the tepal area of shahrood, has been considered. for this purpose, the sequential exploration method was conducted using geological evidences and applying remote sensing and geoelectrical resistivity methods in two major phases including the regional and local s...

This paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. The proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. This kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...

in this paper, a complete model of an electro hydraulic driven dry clutch along with its performance evaluation has elucidated. through precision modeling, a complete nonlinear physical and full order sketch of clutch has drawn. ultimate nonlinearities existent in the system prohibits it from being controlled by conventional linear control algorithms and to compensate the behavior of the system...

In this paper, a complete model of an electro hydraulic driven dry clutch along with its performance evaluation has elucidated. Through precision modeling, a complete nonlinear physical and full order sketch of clutch has drawn. Ultimate nonlinearities existent in the system prohibits it from being controlled by conventional linear control algorithms and to compensate the behavior of the sy...

In this paper, a new data-driven methodology for the Internal Model Control controller tuning based on the Virtual Reference Feedback Tuning method is presented. Taking advantage of the characteristics of the Internal Model Control structure, a robustness test is presented and analyzed using only the available data taken in an open-loop experiment. Examples are provided to show the application ...

This paper develops a method to learn optimal controls from data for bilinear systems without priori knowledge of the system dynamics. Given an unknown system, we first characterize when available is suitable solve control problem. characterization leads us propose online experiment design procedure that guarantees any input/state trajectory can be represented as linear combination collected ma...