Suk-Kyo Hong

Learn More
An adaptive fuzzy sliding-mode control (AFSMC) is presented for the robust antisway trajectory tracking of overhead cranes subject to both system uncertainty and actuator nonlinearity. First, a fuzzy sliding-mode control (FSMC) law is designed for the antisway trajectory tracking of the nominal plant. In association with a conventional trajectory tracking(More)
The envisioned realization of ubiquity has resulted into the emergence of new kinds of the hybrid networks. The modern hybrid networks, e.g. combination of wireless mesh and Mobile Ad-hoc Networks (MANETs), help realize ubiquity through spontaneous networking. The network management for these hybrid networks is different from conventional and infrastructure(More)
In the present paper, an adaptive fuzzy nonlinear control (AFNC) law is proposed for the anti-sway trajectory tracking of uncertain overhead cranes with high-speed hoisting motion. In the proposed AFNC, fuzzy systems are utilized in two different ways. One is for fuzzy uncertainty observer (FUO) and the other is for fuzzy nonlinear control (FNC). Two FUOs(More)
In this paper, the motion coordination algorithm using active agents (or sensor nodes) in active sensor networks is proposed to track the dynamic boundary for environmental monitoring. While most of dynamic boundary tracking algorithms in the literature were studied under the assumption that the boundary and/or its evolving rate is known a priori, the(More)
We propose a corridor lines extraction algorithm. The algorithm is based on a vision-system. It uses the patterns of slopes between two points, K-means, and least-square method. The proposed algorithm offers intersection lines between the wall and the floor. The proposed method consists of image preprocessing, noise filtering, and line extraction algorithm(More)
This paper proposes a data-mining algorithm for mobile robots in an object detection. It is important that is used to localization and map building. The proposed method uses three algorithms to divide sections. To this end, the laser scanner is used to recognized objects for mobile robots. To control the mobile robots in the researches of collision(More)
This paper presents unifying strategies of obstacle avoidance and shooting for robot soccer systems. Using a fuzzy-net based avoidance algorithm and limit-cycle based shooting algorithm, we propose two unifying schemes based on both parallel and series combination of them to achieve smooth transition between obstacle avoidance and shooting mode. Two(More)
A filtering based dither-stripping technique for ring laser gyroscopes (RLGs) requires a more reasonable mathematical model of dithering system which is used for the design of model based adaptive filters to estimate the dither signal more robustly and accurately. To this end, this paper presents dithering system model identification results. Considering(More)
We have reduced recursive parameter estimation to Kalman filtering, with a few added fixes. By incorporating projections in the parameter gain updates and parameter variance estimates, the recursive maximum likelihood method asymptotically becomes a reformulation and fix-up of the extended Kalman filter used as a parameter estimator (EKFPE), except that an(More)