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This paper proposes an event-triggered course-tracking control approach of marine surface vessels based on output reference tracking method. Throughout this work, a reference system, which consists in the continuously controlled version of the system understudy, is employed. Based on the difference between the state of the event-triggered system and that of the reference system, a Lyapunov-like function...
Synchrotron X-ray microdiffraction has been successfully used to unravel how stresses evolve both in Cu through silicon via (TSV) as well as in silicon surrounding it. These findings have led to much improvements in solving the integration issues (pop-up/bulging of TSV during annealing, silicon delamination/fracture, etc.) as well as enhancing reliability and performance (reducing the “keep-away zone...
We studied finite-time function projective synchronization of unknown delayed Cohen-Grossberg neural networks with stochastic disturbance. A hybrid control scheme is proposed to let the drive-response networks synchronize and have a scaling function relation in finite time with topology identification by using the finite-time stability theory. Furthermore, we estimate the high bounds of the synchronization...
In this paper, we design an image-based robust controller to compensate uncertainties with image Jacobian and robot dynamics due to uncertain depth measurement and load variations. The proposed controller with eye-in-hand structure has separate terms to compensate each of uncertainties. The ultimately uniform boundedness of the closed-loop system is proved by the Lyapunov method. The performance of...
This paper proposes multiple self-organizing maps (SOMs) for control of a visuo-motor system that consists of a redundant manipulator and multiple cameras in an unstructured environment. The maps control the manipulator so that it reaches its end-effector to targets given in the camera images. Also the maps make the manipulator take obstacle free poses. Multiple cameras are introduced to avoid occlusions...
This paper proposes an improved method to modeling the dynamic process of basic oxygen furnace (BOF) and the main idea is simplification. Aiming at the problem that it is usually difficult to build a precise endpoint dynamic model because of the high dimensional input variables which affect the final results - carbon content and temperature, this paper builds endpoint carbon content prediction model...
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