We consider the problem of control error of a fuzzy system with feedback. The system consists of a plant, linear or nonlinear, fuzzy controller, and feedback loop. As controller we use both PD and PI fuzzy type controllers. We apply different t-norm and co-norm: logic, algebraic, Yager, Hamacher, bounded, drastic, etc. in the process of fuzzy reasoning. Triangular shape of membership functions is supposed, but we generalize the results obtained. Steady-state error of a system is calculated. We have obtained very interesting results. The steady-state error is identical for pairs of triangular t- and co-norms.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/3477.735395 | DOI Listing |
Vision Res
January 2025
Pacific University, College of Optometry, Forest Grove, OR, United States. Electronic address:
Individuals with mild traumatic brain injury (mTBI) exhibit significant accommodative abnormalities. Accommodation microfluctuation (MFs) plays an important role in the accommodation steady-state control. This study was set to investigate the characteristics of the MFs in mTBI subjects and whether chromatic filter (CF) or neutral density filter (ND) would impact these parameters.
View Article and Find Full Text PDFISA Trans
January 2025
School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, BT9 5BN Belfast, United Kingdom. Electronic address:
In recent years, exoskeleton robots have attracted great interest from researchers in the area of robotics due to their ability to assist human functionality improvement. A wearable lower limb exoskeleton is aimed at supporting the limb functionality rehabilitation process and to assist physical therapists. Development of a stable and robust control system for multi-joint rehabilitation robots is a challenging task due to their non-linear dynamic systems.
View Article and Find Full Text PDFSci Rep
January 2025
State Key Laboratory of Metallurgical Intelligent Manufacturing System, Beijing, 100071, China.
At present, the parameters of the controllers in hot rolling roughing microtension control systems are not adaptively adjustable to variations in working conditions, which compromises both width accuracy and production stability. To address this issue, this paper introduces an ATKB-PID adaptive micro tension control method. This method incorporates a linear attention layer and utilizes a K-Nearest Neighbors (KNN) algorithm to predict the optimal learning rate and inertia coefficient under actual operating conditions.
View Article and Find Full Text PDFSci Rep
January 2025
ENET Centre, VSB-Technical University of Ostrava, Ostrava, 708 00, Czech Republic.
Steam condensers are vital components of thermal power plants, responsible for converting turbine exhaust steam back into water for reuse in the power generation cycle. Effective pressure regulation is crucial to ensure operational efficiency and equipment safety. However, conventional control strategies, such as PI, PI-PDn and FOPID controllers, often struggle to manage the nonlinearities and disturbances inherent in steam condenser systems.
View Article and Find Full Text PDFSci Rep
January 2025
Electrical Power and Machines Department, Egyptian Chinese University, Cairo, Egypt.
This research is dedicated to improving the control system of wind turbines (WT) to ensure optimal efficiency and rapid responsiveness. To achieve this, the fuzzy logic control (FLC) method is implemented to control the converter in the rotor side (RSC) of a doubly fed induction generator (DFIG) and its performance is compared with an optimized proportional integral (PI) controller. The study demonstrated an enhancement in the performance of the DFIG through the utilization of the proposed FLC, effectively overcoming limitations and deficiencies observed in the conventional controllers, this approach significantly improved the performance of the wind turbine.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!