论文信息 - Comments on "A new approach to adaptive fuzzy control: the controller output error method"

Comments on "A new approach to adaptive fuzzy control: the controller output error method"

For original paper see ibid., vol 27, p. 686-91, Aug. 1997. In the above paper, a novel algorithm for adaptively updating the parameters of a fuzzy controller was proposed. The purpose of this letter is to point out that this algorithm, and its use, are well known. The authors of the above paper acknowledge the previous use of similar concepts, however this letter draws attention to a particularly clear description of the algorithm.

Donald S. Reay

[1] Devendra P. Garg,et al. Training backpropagation and CMAC neural networks for control of a SCARA robot , 1993 .

[2] A. Sideris,et al. A multilayered neural network controller , 1988, IEEE Control Systems Magazine.

[3] Martin Brown,et al. Neurofuzzy adaptive modelling and control , 1994 .

[4] James S. Albus,et al. Data Storage in the Cerebellar Model Articulation Controller (CMAC) , 1975 .

[5] Y. Jin,et al. Stable neural network control for manipulators , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[6] Filson H. Glanz,et al. Application of a General Learning Algorithm to the Control of Robotic Manipulators , 1987 .

[7] A. C. Tsoi,et al. A new approach to adaptive fuzzy control: the controller output error method , 1997, IEEE Trans. Syst. Man Cybern. Part B.

[8] Li-Xin Wang,et al. Adaptive fuzzy systems and control - design and stability analysis , 1994 .

[9] W. Thomas Miller,et al. Real-time dynamic control of an industrial manipulator using a neural network-based learning controller , 1990, IEEE Trans. Robotics Autom..