Zobrazeno 1 - 10
of 265
pro vyhledávání: '"C.S.G. Lee"'
Publikováno v:
IEEE Transactions on Robotics. 23:281-293
Traditionally, simultaneous localization and mapping (SLAM) algorithms solve the localization and mapping problem in explored regions. This paper presents a prediction-based SLAM algorithm (called P-SLAM), which has an environmental-structure predict
Publikováno v:
IEEE Transactions on Robotics. 22:507-522
Mobile robots can be used in many applications, such as carpet cleaning, search and rescue, and exploration. Many studies have been devoted to the control, sensing, and communication of robots. However, the deployment of robots has not been fully add
Autor:
Jeen-Shing Wang, C.S.G. Lee
Publikováno v:
ICRA
This paper presents the utilization of a self-adaptive recurrent neuro-fuzzy control as a feedforward controller and a proportional-plus-derivative (PD) control as a feedback controller for controlling an autonomous underwater vehicle (AUV) in an uns
Autor:
Jeen-Shing Wang, C.S.G. Lee
Publikováno v:
IEEE Transactions on Fuzzy Systems. 10:790-802
This paper presents a self-adaptive neuro-fuzzy inference system (SANFIS) that is capable of self-adapting and self-organizing its internal structure to acquire a parsimonious rule-base for interpreting the embedded knowledge of a system from the giv
Publikováno v:
IEEE Journal on Selected Areas in Communications. 18:168-183
We consider the problem of multimedia synchronization in a Web environment. The workload generated by the multimedia server during a Web session exhibits variations that are quite different from the traffic fluctuation offered by a single media strea
Autor:
C.S.G. Lee, Gyoung Hwan Kim
Publikováno v:
IEEE Transactions on Robotics and Automation. 14:879-893
Focuses on the development of a learning-based heuristic for scheduling heterogeneous machines. Although list scheduling methods have been widely used for a large class of scheduling problems, including the heterogeneous machine scheduling problem, t
Autor:
C.S.G. Lee, Tang-Kai Yin
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics. 25:1606-1615
This paper proposes a fuzzy model-reference adaptive control (fuzzy-MRAC) to deal with controlling a plant with unknown parameters. The proposed method uses the fuzzy basis function expansion to represent the unknown, slowly-varying parameters in a p
Autor:
C.S.G. Lee, Chin-Teng Lin
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics. 25:660-669
The idea of a Hopfield network is based on the Ising spin glass model in which each spin has only two possible states: up and down. By introducing stochastic factors into this network and performing a simulated annealing process on it, it becomes a B
Autor:
C.S.G. Lee, Chin-Teng Lin
Publikováno v:
IEEE Transactions on Fuzzy Systems. 2:46-63
This paper proposes a reinforcement neural-network-based fuzzy logic control system (RNN-FLCS) for solving various reinforcement learning problems. The proposed RNN-FLCS is constructed by integrating two neural-network-based fuzzy logic controllers (
Autor:
C.S.G. Lee, David A. Landgrebe
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics. 23:433-444
A new feature extraction algorithm based on decision boundaries for nonparametric classifiers is proposed. It is noted that feature extraction for pattern recognition is equivalent to retaining discriminantly informative features, and a discriminantl