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Journal articles on the topic 'SMC Method'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Guo, Yanjun, Terri Starman, and Charles Hall. "Growth, Quality, and Economic Value Responses of Bedding Plants to Reduced Water Usage." HortScience 54, no. 5 (2019): 856–64. http://dx.doi.org/10.21273/hortsci13793-18.

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This study analyzed the effects of two ranges of drying down of substrate moisture content (SMC) before re-watering on plant growth and development, postproduction quality, and economic value of bedding plants grown in 1.67-L containers during greenhouse production. The two SMC treatments were wide-range (WR) SMC (WR-SMC) for dry-down from container capacity (CC) of 54% SMC dried down to 20% SMC or narrow-range (NR) SMC (NR-SMC) for dry-down from CC of 54% SMC dried down to 40% SMC. Six bedding plant cultivars were used [Solenostemon scutellarioides ‘French Quarter’ (coleus); Petunia ×hybrida

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Wang, Liangliang, Shijia Wang, and Alexandre Bouchard-Côté. "An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics." Systematic Biology 69, no. 1 (2019): 155–83. http://dx.doi.org/10.1093/sysbio/syz028.

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Abstract We describe an “embarrassingly parallel” method for Bayesian phylogenetic inference, annealed Sequential Monte Carlo (SMC), based on recent advances in the SMC literature such as adaptive determination of annealing parameters. The algorithm provides an approximate posterior distribution over trees and evolutionary parameters as well as an unbiased estimator for the marginal likelihood. This unbiasedness property can be used for the purpose of testing the correctness of posterior simulation software. We evaluate the performance of phylogenetic annealed SMC by reviewing and comparing wi

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Abbasi, Saad Jamshed, Won Jae Kim, Jaehyung Kim, Min Cheol Lee, Byeong Ju Lee, and Myung Jun Shin. "Robust Control Design of a Human Heart Rate System for Cardiac Rehabilitation Exercise." Electronics 11, no. 24 (2022): 4081. http://dx.doi.org/10.3390/electronics11244081.

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Automatic, precise, and accurate heart rate control during treadmill exercise is an interesting topic among researchers. The human heart is a highly nonlinear system. Conventional control techniques are not sufficient and it is difficult to accurately model the human heart. Two different robust controllers were designed for this nonlinear system. Firstly, sliding mode control (SMC) was implemented; SMC is robust against parametric uncertainties and external disturbance but its robustness is not guaranteed during the reaching phase, especially in heart rate control, and implementation of SMC re

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Xing, Minfeng, Lin Chen, Jinfei Wang, Jiali Shang, and Xiaodong Huang. "Soil Moisture Retrieval Using SAR Backscattering Ratio Method during the Crop Growing Season." Remote Sensing 14, no. 13 (2022): 3210. http://dx.doi.org/10.3390/rs14133210.

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Soil moisture content (SMC) is an indispensable basic element for crop growth and development in agricultural production. Obtaining accurate information on SMC in real time over large agricultural areas has important guiding significance for crop yield estimation and production management. In this study, the paper reports on the retrieval of SMC from RADARSAT-2 polarimetric SAR data. The proposed SMC retrieval algorithm includes vegetation correction based on a ratio method and roughness correction based on the optimal roughness method. Three vegetation description parameters (i.e., RVI, LAI,

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Pošković, Emir, Fausto Franchini, Luca Ferraris, Federico Carosio, and Marco Actis Grande. "Rapid Characterization Method for SMC Materials for a Preliminary Selection." Applied Sciences 11, no. 24 (2021): 12133. http://dx.doi.org/10.3390/app112412133.

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In electrical machines, laminated steels are commonly adopted as soft magnetic materials, while for permanent magnets, sintered ferrites and NdFeB are the most common solutions. On the other hand, the growing demand for volume reduction with the increment of efficiency leads to the necessity of exploring other magnetic materials able to face the challenge better than the traditional ones. Bonded magnets have been used to replace sintered magnets, obtaining a better use of space and particular magnetic properties. Instead, for the magnetic circuit, Soft Magnetic Composites (SMC) allow realizing

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Kolesnikov, A. A., and A. A. Kuz’menko. "Sliding Mode Control Laws Design by the ADAR Method with Subsequent Invariant Manifolds Aggregation." Mekhatronika, Avtomatizatsiya, Upravlenie 20, no. 8 (2019): 451–60. http://dx.doi.org/10.17587/mau.20.451-460.

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Sliding mode control (SMC) laws are commonly used in engineering to make a system robust to parameters change, external disturbances and control object unmodeled dynamics. State-of-the-art capabilities of the theory of adaptive and robust control, the theory of fuzzy systems, artificial neural networks, etc., which are combined with SMC, couldn’t resolve current issues of SMC design: vector design and stability analysis of a closed-loop system with SMC are involved with considerable complexity. Generally the classical problem of SMC design consists in solving subtasks for transit an object fro

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Li, Zhi, Bo You, Liang Ding, Haibo Gao, and Fengxiang Huang. "Trajectory Tracking Control for WMRs with the Time-Varying Longitudinal Slippage Based on a New Adaptive SMC Method." International Journal of Aerospace Engineering 2019 (August 20, 2019): 1–13. http://dx.doi.org/10.1155/2019/4951538.

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Wheeled mobile robots (WMRs) in real complex environments such as on extraterrestrial planets are confronted with uncertain external disturbances and strong coupling of wheel-ground interactions while tracking commanded trajectories. Methods based on sliding mode control (SMC) are popular approaches for these situations. Traditional SMC has some potential problems, such as slow convergence, poor robustness, and excessive output chattering. In this paper, a kinematic-based feed-forward control model is designed for WMRs with longitudinal slippage and applied to the closed-loop control system fo

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Doğan, Mustafa, and Ümit Önen. "TRAJECTORY TRACKING CONTROL OF A TWO WHEELED SELF-BALANCING ROBOT BY USING SLIDING MODE CONTROL." Konya Journal of Engineering Sciences 12, no. 3 (2024): 652–70. http://dx.doi.org/10.36306/konjes.1425949.

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Two-Wheeled Self-Balancing Robots are widely used in various fields today. These systems have a highly unstable nature due to their underactuated structures. On the other hand, parameter uncertainties and external disturbances significantly affect their control performance. The best way to deal with parameter uncertainties that can easily lead controllers to instability is to use robust control methods. Dealing with these uncertainties is particularly crucial in control of underactuated and unstable systems such as Two-Wheeled Self-Balancing Robots. In this study, trajectory tracking control o

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Li, Zeyu, Weidong Liu, Le Li, Wenbo Zhang, and Liwei Guo. "Path following method for AUV based on Q-Learning and RBF neural network." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 3 (2021): 477–83. http://dx.doi.org/10.1051/jnwpu/20213930477.

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In the underwater docking process, the oscillation on AUV velocity brings extra challenge on AUV path following. A Q-learning based Sliding Mode Control (SMC) method to increase the path following performances is proposed. Firstly, AUV guidance law is designed to reduce the path following error. Heading and depth sliding mode controllers are designed to track the guidance law. Then, according to AUV velocity, tracking error and the first derivative, the control parameters of SMC are optimized via Q-learning network. RBF neural network is built to accelerate the offline learning rate. Finally,

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Farhat, Maissa, and Oscar Barambones. "Advanced Control Scheme Optimization for Stand-Alone Photovoltaic Water Pumping Systems." Computation 12, no. 11 (2024): 224. http://dx.doi.org/10.3390/computation12110224.

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This study introduces a novel method for controlling an autonomous photovoltaic pumping system by integrating a Maximum Power Point Tracking (MPPT) control scheme with variable structure Sliding Mode Control (SMC) alongside Perturb and Observe (P&O) algorithms. The stability of the proposed SMC method is rigorously analyzed using Lyapunov’s theory. Through simulation-based comparisons, the efficacy of the SMC controller is demonstrated against traditional P&O methods. Additionally, the SMC-based system is experimentally implemented in real time using dSPACE DSP1104, showcasing its robu

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Sheikhi Jouybary, Homa, Davood Arab Khaburi, Ahmed El Hajjaji, and Augustin Mpanda Mabwe. "Optimal Sliding Mode Control of Modular Multilevel Converters Considering Control Input Constraints." Energies 18, no. 11 (2025): 2757. https://doi.org/10.3390/en18112757.

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This paper investigates the optimal sliding mode control (SMC) of modular multilevel converters (MMCs) by considering control input constraints. Conventional SMC methods for MMCs typically overlook the system’s constraints. To address this, an optimal SMC approach that incorporates control input constraints through quadratic programming (QP) is proposed. The control design problem is formulated in a constrained optimization framework and solved using the infeasible active-set (IAS) method to efficiently achieve the optimal solution. By applying optimal SMC, this work contributes to the advance

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Suprapto, Suprapto, Masduki Zakarijah, and Muslikhin Muslikhin. "Adaptive fuzzy sliding mode controller for a single-stage inverted pendulum." International Journal of Advances in Applied Sciences 11, no. 4 (2022): 324. http://dx.doi.org/10.11591/ijaas.v11.i4.pp324-334.

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Sliding mode controller (SMC) has become a popular traditional control method in industries due to the most effective control strategies employing nonlinear control and the ability to reject disturbances, particularly for line trajectory control. However, this control method has chattering problems due to high-frequency switching. To cope with the shortcoming, an artificial intelligence (AI) method is utilized in the traditional SMC to eliminate or reduce this chattering problem. This paper investigates an adaptive fuzzy logic system combined with SMC algorithm to alleviate the problem. Fuzzy

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Suprapto, Zakarijah Masduki, and Muslikhin. "Adaptive fuzzy sliding mode controller for a single-stage inverted pendulum." International Journal of Advances in Applied Sciences (IJAAS) 11, no. 4 (2022): 324–34. https://doi.org/10.11591/ijaas.v11.i4.pp324-334.

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Sliding mode controller (SMC) has become a popular traditional control method in industries due to the most effective control strategies employing nonlinear control and the ability to reject disturbances, particularly for line trajectory control. However, this control method has chattering problems due to high-frequency switching. To cope with the shortcoming, an artificial intelligence (AI) method is utilized in the traditional SMC to eliminate or reduce this chattering problem. This paper investigates an adaptive fuzzy logic system combined with SMC algorithm to alleviate the problem. Fuzzy

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Li, Wangyang, Youzhen Xiang, Xiaochi Liu, et al. "Estimation of Soil Moisture Content Based on Fractional Differential and Optimal Spectral Index." Agronomy 14, no. 1 (2024): 184. http://dx.doi.org/10.3390/agronomy14010184.

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Applying hyperspectral remote sensing technology to the prediction of soil moisture content (SMC) during the growth stage of soybean emerges as an effective approach, imperative for advancing the development of modern precision agriculture. This investigation focuses on SMC during the flowering stage under varying nitrogen application levels and film mulching treatments. The soybean canopy’s original hyperspectral data, acquired at the flowering stage, underwent 0–2-order differential transformation (with a step size of 0.5). Five spectral indices exhibiting the highest correlation with SMC we

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Cha, Hyun Rok, K. S. Lee, Cheol Ho Yun, Hyeon Taek Son, and Tea Uk Jung. "A Considering Method of Density Distribution Factor for the Ceramic Motor with Soft Magnetic Composite Core." Key Engineering Materials 368-372 (February 2008): 211–14. http://dx.doi.org/10.4028/www.scientific.net/kem.368-372.211.

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In this paper, we suggested the new standards of motor design in using of Soft magnetic composite (SMC) material. Previous motor design in using of SMC material executed the same procedures of silicon steel. These procedures assumed that all places of material have the same density distribution and B-H curves. But we showed that the SMC material has inequality density distribution. By using powder forming analysis with FEM analysis, we showed that difference of density distribution could not be avoided because of the shear stress on powder, surface of the mold and punch. Therefore the magnetic

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Yao, Yadong, Jixuan Yan, Guang Li, et al. "A GNSS-IR Soil Moisture Inversion Method Considering Multi-Factor Influences Under Different Vegetation Covers." Agriculture 15, no. 8 (2025): 837. https://doi.org/10.3390/agriculture15080837.

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The Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) has demonstrated significant potential for soil moisture content (SMC) monitoring due to its high spatiotemporal resolution. However, GNSS-IR inversion experiments are notably influenced by vegetation and meteorological factors. To address these challenges, this study proposes a multi-factor SMC inversion method. Six GNSS stations from the Plate Boundary Observatory (PBO) were selected as study sites. A low-order polynomial was applied to separate the reflected signals, extracting parameters such as phase, frequency

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Tang, Aihua, Lin Yang, Tao Zeng, and Quanqing Yu. "Cascade Control Method of Sliding Mode and PID for PEMFC Air Supply System." Energies 16, no. 1 (2022): 228. http://dx.doi.org/10.3390/en16010228.

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Proton exchange membrane fuel cells (PEMFC) are vulnerable to oxygen starvation when working under variable load. To address these issues, a cascade control strategy of sliding mode control (SMC) and Proportion Integration Differentiation (PID) control is proposed in this study. The goal of the control strategy is to enhance the PEMFC’s net power by adjusting the oxygen excess ratio (OER) to the reference value in the occurrence of a load change. In order to estimate the cathode pressure and reconstruct the OER, an expansion state observer (ESO) is developed. The study found that there is a ma

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Wei, Yuhao, Li Sun, and Zhongxian Chen. "An Improved Sliding Mode Control Method to Increase the Speed Stability of Permanent Magnet Synchronous Motors." Energies 15, no. 17 (2022): 6313. http://dx.doi.org/10.3390/en15176313.

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A permanent magnet synchronous motor (PMSM) plays an important role in the operation performance of an electric vehicle. In order to increase the speed stability of PMSMs, an improved sliding mode control (SMC) method is proposed in this paper. Firstly, the control process of a PMSM is divided into parts, which are the torque closed-loop control and speed closed-loop control. Secondly, an integrated control method with proportional integral (PI) and inverter switching frequency is adopted in order to increase the torque performance of the PMSM. Lastly, compared with the traditional SMC method,

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Hou, Xianmin, and Songyu Wang. "Composite Learning Sliding Mode Control of Nonlinear Systems Subject to Actuator Failures." Journal of Mathematics 2020 (December 7, 2020): 1–7. http://dx.doi.org/10.1155/2020/6665599.

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This article focuses on controlling single-input-single-output (SISO) nonlinear systems with actuator failures via sliding mode control (SMC) and composite learning SMC (CLSMC). In the design of the SMC, an integer-order sliding surface is proposed, and an adaptive law is constructed to update the parameter evaluation in the actuator failure. The SMC method can achieve the tracking error approaching zero if a strict permanent excitation (PE) condition is satisfied. To mitigate this requirement, by using all data recorded while the controller works, we construct prediction errors that are utili

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Deng, Yue, Yongzhen Pei, Changguo Li, and Bin Zhu. "Model Selection and Parameter Estimation for an Improved Approximate Bayesian Computation Sequential Monte Carlo Algorithm." Discrete Dynamics in Nature and Society 2022 (June 30, 2022): 1–14. http://dx.doi.org/10.1155/2022/8969903.

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Model selection and parameter estimation are very important in many fields. However, the existing methods have many problems, such as low efficiency in model selection and inaccuracy in parameter estimation. In this study, we proposed a new algorithm named improved approximate Bayesian computation sequential Monte Carlo algorithm (IABC-SMC) based on approximate Bayesian computation sequential Monte Carlo algorithm (ABC-SMC). Using the IABC-SMC algorithm, given data and the set of two models including logistic and Gompertz models of infectious diseases, we obtained the best fitting model and th

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Vo, Hau Huu. "Sliding Mode Speed Controller Design for Field Oriented Controlled PMSM Drive of an Electric Vehicle." Journal of Advanced Engineering and Computation 7, no. 3 (2023): 164. http://dx.doi.org/10.55579/jaec.202373.414.

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The paper deals with an application of sliding mode control (SMC) in speed controller of field oriented controlled permanent magnet synchronous motor (PMSM) for a simplified model of an electrical vehicle. For the simplified one, zero-pole elimination method is utilized to design speed controller because of its simplicity. However, the method brings large integral constant time that makes speed response slow. In order to provide fast and robust-to-noise speed one, the SMC method is utilized to replace the zero-pole elimination (ZPE) one. Simulations at wide range of reference speed and load to

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Zhou, Tao, and Xi Feng Liang. "Position Sliding Mode Control of Manipulator Joint Based on Genetic Algorithm." Advanced Materials Research 912-914 (April 2014): 727–31. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.727.

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In order to improve the control performance of position trajectory tracking of manipulator joint, a sliding mode control (SMC) method based on genetic algorithm(GA) is proposed in this paper. In this method, the performance of SMC algorithm is improved through adjusting the parameters of switching function and exponential approach law by genetic algorithm. The method was applied to accomplish the precise position control of manipulator joint. Simulation experiments show that the response time in manipulator joint control system by the SMC method based on GA is reduced 0.62s than the ordinary S

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Ge, Xiangyu, Jingzhe Wang, Jianli Ding, et al. "Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring." PeerJ 7 (May 3, 2019): e6926. http://dx.doi.org/10.7717/peerj.6926.

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Soil moisture content (SMC) is an important factor that affects agricultural development in arid regions. Compared with the space-borne remote sensing system, the unmanned aerial vehicle (UAV) has been widely used because of its stronger controllability and higher resolution. It also provides a more convenient method for monitoring SMC than normal measurement methods that includes field sampling and oven-drying techniques. However, research based on UAV hyperspectral data has not yet formed a standard procedure in arid regions. Therefore, a universal processing scheme is required. We hypothesi

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Li, Bin, Jiahao Zhu, Ranran Zhou, and Guoxing Wen. "Adaptive Neural Network Sliding Mode Control for a Class of SISO Nonlinear Systems." Mathematics 10, no. 7 (2022): 1182. http://dx.doi.org/10.3390/math10071182.

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In this article, a sliding mode control (SMC) is proposed on the basis of an adaptive neural network (NN) for a class of Single-Input–Single-Output (SISO) nonlinear systems containing unknown dynamic functions. Since the control objective is to steer the system states to track the given reference signals, the SMC method is considered by employing the adaptive neural network (NN) strategy for dealing with the unknown dynamic problem. In order to compress the impaction coming from chattering phenomenon (which inherently exists in most SMC methods because of the discontinuous switching term), the

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Huang, Jiacai, Hongsheng Li, YangQuan Chen, and Qinghong Xu. "Robust Position Control of PMSM Using Fractional-Order Sliding Mode Controller." Abstract and Applied Analysis 2012 (2012): 1–33. http://dx.doi.org/10.1155/2012/512703.

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A new robust fractional-order sliding mode controller (FOSMC) is proposed for the position control of a permanent magnet synchronous motor (PMSM). The sliding mode controller (SMC), which is insensitive to uncertainties and load disturbances, is studied widely in the application of PMSM drive. In the existing SMC method, the sliding surface is usually designed based on the integer-order integration or differentiation of the state variables, while in this proposed robust FOSMC algorithm, the sliding surface is designed based on the fractional-order calculus of the state variables. In fact, the

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Liu, Chengcheng, Gang Lei, Bo Ma, Youguang Guo, and Jianguo Zhu. "Robust Design of a Low-Cost Permanent Magnet Motor with Soft Magnetic Composite Cores Considering the Manufacturing Process and Tolerances." Energies 11, no. 8 (2018): 2025. http://dx.doi.org/10.3390/en11082025.

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This paper uses the Taguchi method to optimize the manufacturing process and robust design of a low-cost permanent magnet motor with soft magnetic composite (SMC) cores. For the manufacturing process, SMC cores are produced by using the molding technology without any wire cutting costs. To maximize the relative permeability and minimize the core loss, the Taguchi method is employed to identify the best control factor values for the heat treatment of SMC cores based on a series of experimental results. Due to the manufacturing tolerances, there are significant uncertainties in the core densitie

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Du, Mingcheng, Jianyun Zhang, Amgad Elmahdi, et al. "Variation Characteristics and Influencing Factors of Soil Moisture Content in the Lime Concretion Black Soil Region in Northern Anhui." Water 13, no. 16 (2021): 2251. http://dx.doi.org/10.3390/w13162251.

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Soil moisture content (SMC) is an important factor affecting crop growth. Based on the field SMC data measured at the Wudaogou experimental station from 1989 to 2019, two typical crop types, wheat and maize, were selected. By combining the groundwater depth, crop growth period, and meteorological factors in the same period, and using classical statistics and redundant analysis (RDA) methods, the characteristics and influencing factors of SMC changes in vertical profiles of different crops were compared and analyzed. The results showed that the SMC and average daily water storage of wheat were

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Sato, Hayaho, Akito Maruo, and Hajime Igarashi. "Analysis of nonlinear magnetic properties of soft magnetic composite using 2D and 3D discrete element methods." International Journal of Applied Electromagnetics and Mechanics 64, no. 1-4 (2020): 483–92. http://dx.doi.org/10.3233/jae-209355.

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This paper presents the three-dimensional modeling of soft magnetic composite (SMC) based on the discrete element method. The proposed method makes it possible to take the possible contact among the magnetic particles in SMC as well as the distributed particle size into consideration. Based on this modeling, the macroscopic B-H characteristics is computed with the finite element method considering magnetic saturation. It is shown that the three-dimensional model of SMC can have larger initial permeability in comparison with the two-dimensional model even if they have the same filling factor.

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Zhang, Bing, Kang Nie, Xinglong Chen, and Yao Mao. "Development of Sliding Mode Controller Based on Internal Model Controller for Higher Precision Electro-Optical Tracking System." Actuators 11, no. 1 (2022): 16. http://dx.doi.org/10.3390/act11010016.

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The electro-optical tracking system (ETS) on moving platforms is affected by the vibration of the moving carrier, the wind resistance torque in motion, the uncertainty of mechanisms and the nonlinear friction between frames and other disturbances, which may lead to the instability of the electro-optical tracking platform. Sliding mode control (SMC) has strong robustness to system disturbances and unknown dynamic external signals, which can enhance the disturbance suppression ability of ETSs. However, the strong robustness of SMC requires greater switching gain, which causes serious chattering.

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Wang, Zhen. "Synchronization of an Uncertain Fractional-Order Chaotic System via Backstepping Sliding Mode Control." Discrete Dynamics in Nature and Society 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/732503.

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Backstepping control approach combined with sliding mode control (SMC) technique is utilized to realize synchronization of uncertain fractional-order strict-feedback chaotic system. A backstepping SMC method is presented to compensate the uncertainty which occurs in the slave system. Moreover, the newly proposed control scheme is applied to implement synchronization of fractional-order Duffing-Holmes system. The simulation results demonstrate that the backstepping SMC method is robust against the modeling uncertainties and external disturbances.

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Fazilat, Mehdi, and Nadjet Zioui. "Quantum-Inspired Sliding-Mode Control to Enhance the Precision and Energy Efficiency of an Articulated Industrial Robotic Arm." Robotics 14, no. 2 (2025): 14. https://doi.org/10.3390/robotics14020014.

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Maintaining precise and robust control in robotic systems, particularly those with nonlinear dynamics and external disturbances, is a significant challenge in robotics. Sliding-mode control (SMC) is a widely used technique to tackle these issues; however, it is plagued by chattering and computational complexity, which limit its effectiveness in high-precision environments. This study aims to develop and assess a quantum-inspired sliding-mode control (QSMC) strategy to enhance the SMC’s robustness, precision, and computational efficiency, specifically in controlling a six-jointed articulated ro

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Alnami, Hashim, Sultan H. Hakmi, Saad A. Mohamed Abdelwahab, et al. "Enhanced Adaptive Dynamic Surface Sliding Mode Control for Optimal Performance of Grid-Connected Photovoltaic Systems." Sustainability 16, no. 13 (2024): 5590. http://dx.doi.org/10.3390/su16135590.

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This study presents an enhanced, adaptive, and dynamic surface sliding mode control (SMC), a cutting-edge method for improving grid-connected photovoltaic (PV) system performance. The suggested control approach uses dynamic SMC and adaptive approaches to enhance the robustness and efficiency of a system. Proportional–integral (PI) and SMC, two control systems for maximum power point tracking (MPPT) in PV systems, are compared in this paper. This study finds that the SMC system is a more effective and efficient MPPT approach for PV systems compared to the conventional PI control system. The SMC

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Toni, Tina, David Welch, Natalja Strelkowa, Andreas Ipsen, and Michael P. H. Stumpf. "Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems." Journal of The Royal Society Interface 6, no. 31 (2008): 187–202. http://dx.doi.org/10.1098/rsif.2008.0172.

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Approximate Bayesian computation (ABC) methods can be used to evaluate posterior distributions without having to calculate likelihoods. In this paper, we discuss and apply an ABC method based on sequential Monte Carlo (SMC) to estimate parameters of dynamical models. We show that ABC SMC provides information about the inferability of parameters and model sensitivity to changes in parameters, and tends to perform better than other ABC approaches. The algorithm is applied to several well-known biological systems, for which parameters and their credible intervals are inferred. Moreover, we develo

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Tian, Miao Miao, Chao Yang Guo, Jin Yan, and Ya Fei Li. "Mix Design Method of the SMC Cold Temperature Modified Asphalt Mixture." Key Engineering Materials 744 (July 2017): 185–89. http://dx.doi.org/10.4028/www.scientific.net/kem.744.185.

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The SMC cold temperature asphalt mixture consumed less energy and harmful emission compares with the traditional HMA and WMA, and it can be worked at the subzero temperature or after a long time storage, which makes the construction and maintenance of the asphalt pavement in a special environment (low temperature) and special conditions (without a hot mix station) come true. It has been widely used in Beijing, Xinjiang, Sichuan, Tibet, etc. with a satisfied performance. Highway construction and maintenance technology level of China would be positively promoted by using the SMC asphalt mixtures

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Neupane, Kuldip. "Leadership and Management Trait of SMC Members in School Governance." Siddhajyoti Interdisciplinary Journal 4, no. 1 (2023): 69–80. http://dx.doi.org/10.3126/sij.v4i1.54135.

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Among various school governing bodies, the School Management Committee (SMC) is the leading one that designs the vision and missions for the school. Nepalese education policy has given SMC the duty of school improvement. The theory of governance explains leadership and management quality in its process. So, SMC, from the viewpoint of governance theory, better performs when possesses leadership and management knowledge. This mixed method research explored these qualities in the SMC of Kanchanjunga Secondary School. The qualities are explored from the viewpoints of students and the SMC chair bot

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Islam, Shafiqul, and Peter X. Liu. "Output feedback sliding mode control for robot manipulators." Robotica 28, no. 7 (2010): 975–87. http://dx.doi.org/10.1017/s0263574709990816.

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SUMMARYIn this work, we propose an output feedback sliding mode control (SMC) method for trajectory tracking of robotic manipulators. The design process has two steps. First, we design a stable SMC controller by assuming that all state variables are available. Then, an output feedback version of this SMC design is presented, which incorporates a model-free linear observer to estimate unknown velocity signals. We then show that the tracking performance under the output feedback design can asymptotically converge to the performance achieved under state-feedback-based SMC design. A detailed stabi

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Huang, Jie, and Gang Li. "An Expansion Method of Reliable Data Transmission of the Short-Message Communication on Satellite Network." Advanced Engineering Forum 4 (June 2012): 3–8. http://dx.doi.org/10.4028/www.scientific.net/aef.4.3.

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Short-message communication mechanism is one of the most frequently methods used on the field of satellite data transmission. Under the existing satellite network, we provide an expansion method of reliable data transmission of short message communication named EMRDT-SMC, which solves negative compression problem of transmission capacity expansion when the amount of short message is below normal, and also solves reliable data transmission problem while satellite microwave transmission causes short message loss. Based on the measurement over a small test-bed, it shows that the method EMRDT-SMC

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Mehedi, Fayçal, Rachid Taleb, Abdelkadir Belhadj Djilali, and Adil Yahdou. "SMC based DTC-SVM control of five-phase permanent magnet synchronous motor drive." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 100. http://dx.doi.org/10.11591/ijeecs.v20.i1.pp100-108.

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<span>This article presents an improved Direct Torque Control (DTC) technique with space vector modulation (SVM) for a five-phase permanent magnet synchronous motor (PMSM) using a sliding mode speed control (SMC).The proposed control scheme of the five-phase PMSM combines the advantages of SMC control and the SVM algorithm. The SMC method insensitive to uncertainties, in particular external disturbances and parameter variations. In this paper, the SMC controller is used to control the rotor speed of the five-phase PMSM based on DTC-SVM. The rotor speed response, torque and stator flux ar

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Fayçal, Mehedi Rachid Taleb, Belhadj Djilali Abdelkadir, and Yahdou Adil. "SMC based DTC-SVM control of five-phase permanent magnet synchronous motor drive." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 1 (2020): 100–108. https://doi.org/10.11591/ijeecs.v20.i1.pp100-108.

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This article presents an improved Direct Torque Control (DTC) technique with space vector modulation (SVM) for a five-phase permanent magnet synchronous motor (PMSM) using a sliding mode speed control (SMC). The proposed control scheme of the five-phase PMSM combines the advantages of SMC control and the SVM algorithm. The SMC method insensitive to uncertainties, in particular external disturbances and parameter variations. In this paper, the SMC controller is used to control the rotor speed of the five-phase PMSM based on DTC-SVM. The rotor speed response, torque and stator flux are determine

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Chung, Jin Hyun, Hye Ryeon Lim, Tek Hyung Lee, et al. "Growth of Smooth Muscle Cell and Endothelial Cell on PLGA Film Containing EGCG." Key Engineering Materials 342-343 (July 2007): 93–96. http://dx.doi.org/10.4028/www.scientific.net/kem.342-343.93.

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Poly (D,L-latic-co-glycolic acid) (PLGA) has been used as the artificial scaffold for blood vessel formation. In order to hinder smooth muscle cell (SMC) angiogenesis, new scaffold design method of loading Epigallocatechin 3-O-gallate (EGCG) on PLGA film was introduced. PLGA and EGCG were dissolved in acetone and film-shape scaffold was manufactured. Antiangiogenetic effect of EGCG released on scaffold was analyzed for SMC and human umbilical vein endothelial cell (HUVEC) and method for selective inhibition from the difference of growth of SMC and HUVEC was suggested.

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Bonfig, Teresa, Simon Wehler, and Lothar Kroll. "Radar sensor integration and quality testing of sheet moulding compound parts in the automotive frequency range." Technologies for Lightweight Structures (TLS) 5, no. 1 (2022): 123–30. http://dx.doi.org/10.21935/tls.v5i1.167.

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Sheet moulding compounds (SMC), a type of fiber-reinforced polymers with discontinuous fibers, are a highly used lightweight material due to their cost efficiency and processability. Since the use of radar sensors behind structural skin body parts for advanced drivers assistant systems in the automobile industry is increasing, the usability of this kind of material as a radar cover is examined. Additionally, a method for the analysis of SMC parts with radar measurement methods in the Gigahertz area is introduced. The hereby considered parameters are the fiber orientation, fiber volume content,

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Ali, Hazem, Azhar Jabbar Abdulridha, Rawaa Khaleel, and Kareem Kareem A. Hussein. "LQR/Sliding Mode Controller Design Using Particle Swarm Optimization for Crane System." Al-Nahrain Journal for Engineering Sciences 23, no. 1 (2020): 45–50. http://dx.doi.org/10.29194/njes.23010045.

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In this work, the design procedure of a hybrid robust controller for crane system is presented. The proposed hybrid controller combines the linear quadratic regulator (LQR) properties with the sliding mode control (SMC) to obtain an optimal and robust LQR/SMC controller. The crane system which is represented by pendulum and cart is used to verify the effectiveness of the proposed controller. The crane system is considered one of the highly nonlinear and uncertain systems in addition to the under-actuating properties. The parameters of the proposed LQR/SMC are selected using Particle Swarm Opti

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Eddine, Kerrouche Kamel Djamel, Wang Lina, Seddjar Abderrahmane, Bensaada Messaoud, Pedro Henrique de Oliveira Nogueira, and Kerrouche Mustapha Boualem. "Comprehensive Analysis and Design of Electrical Power Systems for Nanosatellite Platforms: A Focus on Robust MPPT Control Using Sliding Mode Control Method." International Journal of Energy Research 2024 (April 17, 2024): 1–32. http://dx.doi.org/10.1155/2024/4879696.

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This paper is aimed at performing a comprehensive review of the approaches employed in nanosatellite platforms, specifically 1 U and 3 U, for electrical power systems (EPS). Moreover, it seeks to develop a robust maximum power point tracking (MPPT) controller using the sliding mode control (SMC) method. The proposed control strategy is intended to monitor the solar panel’s maximum power point (MPP) and adapt to changes in temperatures and solar irradiance in low Earth orbit (LEO). The EPS model, designed with the proposed sizing method, is built in MATLAB-Simulink and integrates a solar panel,

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Köse, Ercan, and Aydın Mühürcü. "Comparative Controlling of the Lorenz Chaotic System Using the SMC and APP Methods." Mathematical Problems in Engineering 2018 (December 6, 2018): 1–9. http://dx.doi.org/10.1155/2018/9612749.

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The Lorenz chaotic system is based on a nonlinear behavior and this causes the system to be unstable. Therefore, two different controller models were developed and named as the adaptive pole placement and sliding mode control (SMC) methods for the establishment of continuous time nonlinear Lorenz chaotic system. In order to achieve this, an improved controller structure was developed first theoretically for both the controller methods and then tested practically using the numerical samples. During the establishment of adaptive pole placement method for the Lorenz chaotic system, various stages

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Govor, G. A., O. F. Demidenko, A. R. Normirzaev, and M. A. Tukhtabayev. "Properties of a composite magnetically soft material based on coated iron powders." E3S Web of Conferences 365 (2023): 05001. http://dx.doi.org/10.1051/e3sconf/202336505001.

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A method has been developed to study the properties of composite SMC materials based on high-purity iron powders, the lowest carbon content materials, for example, ABC100.30 iron powder, have higher values of magnetic parameters and minimal losses. The structure and morphology of the surface of the obtained composite materials were studied. The results of the influence on the properties of SMC materials of various insulating coatings were obtained, and SMC materials with titanium oxide coatings had better characteristics. The influence of the thickness of the oxide coating on the decrease in m

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Liu, Qixin, Xingfa Gu, Xinran Chen, et al. "Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization." Sensors 22, no. 4 (2022): 1611. http://dx.doi.org/10.3390/s22041611.

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Soil moisture content (SMC) plays an essential role in geoscience research. The SMC can be retrieved using an artificial neural network (ANN) based on remote sensing data. The quantity and quality of samples for ANN training and testing are two critical factors that affect the SMC retrieving results. This study focused on sample optimization in both quantity and quality. On the one hand, a sparse sample exploitation (SSE) method was developed to solve the problem of sample scarcity, resultant from cloud obstruction in optical images and the malfunction of in situ SMC-measuring instruments. Wit

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Li, Limin, Zhaoyang Guo, and Yuliang Lin. "A Design Method of Styreneic Methyl Copolymers Normal Temperature Modified Asphalt Mixture Based on Performance Balance." Materials 15, no. 18 (2022): 6193. http://dx.doi.org/10.3390/ma15186193.

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The objective of this research was to develop a solution for the deterioration effect on the high-temperature rutting performance and water stability of SMC. This research proposed a method for designing an SMC normal temperature modified asphalt mixture based on the existing findings, experimental research and the performance balance. First, the power function curve model of the aggregate gradation was put forward. The 0.075 mm, 4.75 mm and nominal maximum particle size were the key points of the aggregate gradation, and their passing rate was about 6%, 30%, and 95% respectively. Then, on the

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Dai, Yong, and Duo Wang. "A Tube Model Predictive Control Method for Autonomous Lateral Vehicle Control Based on Sliding Mode Control." Sensors 23, no. 8 (2023): 3844. http://dx.doi.org/10.3390/s23083844.

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This paper aims to enhance the lateral path tracking control of autonomous vehicles (AV) in the presence of external disturbances. While AV technology has made significant strides, real-world driving scenarios often pose challenges such as slippery or uneven roads, which can adversely affect the lateral path tracking control and reduce driving safety and efficiency. Conventional control algorithms struggle to address this issue due to their inability to account for unmodeled uncertainties and external disturbances. To tackle this problem, this paper proposes a novel algorithm that combines rob

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Truong, Thanh Nguyen, Anh Tuan Vo, Hee-Jun Kang, and Ic-Pyo Hong. "A Novel Model-Free Nonsingular Fixed-Time Sliding Mode Control Method for Robotic Arm Systems." Mathematics 13, no. 10 (2025): 1579. https://doi.org/10.3390/math13101579.

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This paper introduces a novel model-free nonsingular fixed-time sliding mode control (MF-NFxTSMC) strategy for precise trajectory tracking in robot arm systems. Unlike conventional sliding mode control (SMC) approaches that require accurate dynamic models, the proposed method leverages the time delay estimation (TDE) approach to effectively estimate system dynamics and external disturbances in real-time, enabling a fully model-free control solution. This significantly enhances its practicality in real-world scenarios where obtaining precise models is challenging or infeasible. A significant in

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Liu, Zhenhua, Li Zhao, Yiping Peng, Guangxing Wang, and Yueming Hu. "Improving Estimation of Soil Moisture Content Using a Modified Soil Thermal Inertia Model." Remote Sensing 12, no. 11 (2020): 1719. http://dx.doi.org/10.3390/rs12111719.

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There has been substantial research for estimating and mapping soil moisture content (SMC) of large areas using remotely sensed images by developing models of soil thermal inertia (STI). However, it is still a great challenge to accurately estimate SMC because of the impact of vegetation canopies and vegetation-induced shadows in mixed pixels on the estimates. In this study, a new method was developed to increase the estimation accuracy of SMC for an irrigated area located in YingKe of Heihe, China, using ASTER data. In the method, an original model of estimating bare STI was modified by decom

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