1、3200 英文单词， 1.5 万英文字符 ，中文 4700 字 文献出处： Boldbaatar E A, Lin C M. Self-learning fuzzy sliding-mode control for a water bath temperature control systemJ. International Journal of Fuzzy Systems, 2015, 17(1): 31-38. Self-Learning Fuzzy Sliding-Mode Control for a Water Bath Temperature Control System Enkh-
2、Amgalan Boldbaatar； Chih-Min Lin Abstract A self-learning fuzzy sliding-mode controller (SLFSMC) is proposed to control the temperature of a water bath. The SLFSMC system automatically tunes the rule bases using a rule modifier and the updating value of each rule is based on the fuzzy firing weight.
3、 In addition, this controller can be used for on-line learning in real-time control systems. In order to illustrate the performance of the proposed control method, it is compared with a proportional derivative-type fuzzy control (PDFC) and a gain- tuning fuzzy control (GTFC). These three algorithms
4、are applied to a water bath temperature control and are simulated under the same conditions. The effect of load disturbance, the response to control, the tracking performance, and suitable sampling time are determined for each system. The simulation results show that the SLFSMC has superior characte
5、ristics, is more simple to use and has a fast response, so the SLFSMC performs better than the PDFC and GTFC. Keywords： Fuzzy control; Sliding-mode control; Self- learning algorithm ;Water bath temperature control 1. Introduction Industrial processes are usually controlled by a conventional PID cont
6、roller since it is easy to use. However, a PID controller cannot precisely control nonlinear systems. It is better to use modern control techniques for nonlinear systems, but these require a lot of computational time for a real-time system 1, 2. This also increases the cost of manufacturing in an industrial process. Temperature control problems often involve a time delay and the control method must be easily implemented. Previously, a robust self-tuning PD-type fuzzy controller (PDFC) ha
