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| http://dx.doi.org/10.1128/JB.188.6.2025-2026.2006 | DOI Listing |
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Enhanced Control of Nonlinear Systems Under Control Input Constraints and Faults: A Neural Network-Based Integral Fuzzy Sliding Mode Approach.
Entropy (Basel)
December 2024
Department of Mathematics, Faculty of Science, Assiut University, Assiut 71516, Egypt.
Many existing control techniques proposed in the literature tend to overlook faults and physical limitations in the systems, which significantly restricts their applicability to practical, real-world systems. Consequently, there is an urgent necessity to advance the control and synchronization of such systems in real-world scenarios, specifically when faced with the challenges posed by faults and physical limitations in their control actuators. Motivated by this, our study unveils an innovative control approach that combines a neural network-based sliding mode algorithm with fuzzy logic systems to handle nonlinear systems.
View Article and Find Full Text PDFNovel sliding mode control of the manipulator based on a nonlinear disturbance observer.
Sci Rep
December 2024
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, 100048, China.
To achieve high-performance trajectory tracking for a manipulator, this study proposes a novel sliding mode control strategy incorporating a nonlinear disturbance observer. The observer is designed to estimate unknown models in real-time, enabling feedforward compensation for various uncertainties such as modeling errors, joint friction, and external torque disturbances. The control law is formulated by integrating the Backstepping method, Lyapunov theory, and global fast terminal sliding mode theory, ensuring global convergence to zero within finite time and enhancing system robustness.
View Article and Find Full Text PDFResearch on the influence of cutter overhang length on robotic milling chatter stability.
Sci Rep
October 2024
Mechanical Electrical Engineering School, Beijing Information Science & Technology University, No.12 East Qinghexiaoying Road, Beijing, 100192, China.
Serial industrial robots are widely in demand in the field of large-scale component processing and manufacturing. However, the structure characteristic of serial robots makes it easy to generate chatter during milling and the overhang length of milling cutter has an important influence on the stability of robotic milling. Milling cutter overhang length refers to the length from the tip of the cutter to the protrusion of the spindle, to study the influence of milling cutter overhang length on the stability behavior of robotic milling, the modal parameters of milling cutter under different overhang length were obtained by hammer experiment, and its dynamic characteristics were analyzed.
View Article and Find Full Text PDFGreen synthesized iron oxide nanoparticles as a potential regulator of callus growth, plant physiology, antioxidative and microbial contamination in Oryza sativa L.
BMC Plant Biol
October 2024
Depatment of Plant Sciences, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan.
Article Synopsis
- - The study focuses on improving plantlet regeneration in tissue culture by utilizing iron oxide nanoparticles (FeO-NPs) as a nutrient source in Murashige and Skoog (MS) media to enhance callus formation and control contamination.
- - The results showed that FeO-NPs significantly increased callus induction and regeneration rates compared to regular MS media, with notable improvements in callus weight, diameter, and root/shoot numbers, indicating a more effective growth environment.
- - Applying FeO-NPs as a foliar spray led to substantial increases in biomass, height, and chlorophyll content in two rice varieties, while also enhancing enzymatic activities that help plants respond to stress, suggesting that this approach could be beneficial for
Application of sliding mode variable structure control algorithm in PMSM vector control system in complex environment.
PLoS One
September 2024
College of Information Science and Engineering, Northeastern University, Shenyang, China.
In order to meet the increasing demand of high-performance control in industrial production, a new sliding mode variable structure control algorithm, Asymptotic Sliding Mode Control (ASMC), is designed in this study to solve the serious chattering problem of sliding mode control. Firstly, a traditional sliding mode exponential approximation law control model and a state space and control function are constructed based on sliding mode control. Secondly, by eliminating the jitter factor, ASMC algorithm is combined with sliding mode control to achieve precise control of permanent magnet synchronous motor (PMSM) and improve its performance.
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