Article
Computer Science, Artificial Intelligence
Xiaojie Su, Yao Wen, Peng Shi, Shuoyu Wang, Wudhichai Assawinchaichote
Summary: This article presents a novel continuous-time dynamic sliding mode control method for Takagi-Sugeno fuzzy nonlinear systems based on an event-triggered mechanism. By establishing a new sliding mode dynamic system and utilizing a new Lyapunov function and reciprocally convex method, the asymptotic stability of the constructed network sliding mode dynamics is ensured. The explicit expression of the desired sliding mode controller is given in the form of linear matrix inequalities, and the applicability and effectiveness of the proposed design techniques are demonstrated through a numerical example.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Theory & Methods
Xiaofei Fan, Zhanshan Wang, Zhan Shi
Summary: This paper investigates an event-triggered integral sliding mode controller design for uncertain T-S fuzzy systems. Through a novel triggering condition and controller design, the system trajectory can converge to a bounded region and the Zeno phenomenon can be avoided.
FUZZY SETS AND SYSTEMS
(2021)
Article
Automation & Control Systems
Xingjian Sun, Haobo Kang, Hongjun Ma
Summary: This article focuses on sensor fault estimation and fault-tolerant controller design for IT2 fuzzy systems using a sliding mode approach. A novel sliding mode observer and a sliding mode controller in the form of an IT2 fuzzy model are introduced to accurately estimate system states, eliminate sensor faults, and stabilize closed-loop systems. An example of a bolt-tightening tool model is used to demonstrate the validity of the proposed results.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Behrooz Rahmani, Ali Ziaiefar, Shamsedin Hashemi
Summary: This research explores a model-free control strategy for vibration suppression of base-isolated structures under earthquake excitation. A semi-active base isolated system with a magnetorheological (MR) damper is used, and the displacement of the base isolator is measured by a linear variable differential transformer (LVDT). An adaptive fuzzy sliding mode observer is implemented to estimate the vector of state tracking error, which is then utilized by an adaptive fuzzy sliding mode control scheme to calculate the input voltage of the MR damper. Numerical simulations are conducted to evaluate the effectiveness of the implemented model-free control strategy, highlighting its flexibility and robustness against disturbance rejection and model uncertainty.
Article
Computer Science, Information Systems
Guozhong Yao, Xianxiang Wang, Zhengjiang Wang, Yuhan Xiao
Summary: This paper addresses the problems of sliding mode observer, such as strong parameter dependency, large overshoot, and severe inherent sliding mode chattering, by studying fuzzy control and designing a new type of fuzzy sliding mode observer using a sigmoid function. The new method incorporates adaptive sliding mode gain adjustment and PLL technology for rotor position information. Experimental verification and comparison with traditional sliding mode observer showed that the new fuzzy sliding mode observer can more accurately estimate rotor position and speed, with reduced errors, overshoot, and chattering.
Article
Automation & Control Systems
Jinhui Zhang, Duanduan Chen, Ganghui Shen, Zhongqi Sun, Yuanqing Xia
Summary: In this paper, disturbance observer based adaptive sliding mode control approaches are proposed for Takagi-Sugeno fuzzy systems with unknown external disturbance. By designing novel dynamic sliding surfaces and adaptive laws, both state- and output-based controllers are designed without input matrix constraints, incorporating disturbance estimates to achieve active disturbance rejection. The effectiveness of the proposed control approaches is demonstrated through numerical examples.
Article
Computer Science, Information Systems
Xingjian Sun, Lei Zhang, Juping Gu
Summary: In this study, the adaptive sliding mode control (ASMC) strategy is investigated for complex nonlinear systems with matched and unknown nonlinearities and external disturbances. A Gaussian radial basic neural network is used to approximate the nonlinearities and external disturbances. A Takagi-Sugeno (T-S) fuzzy model based integral switching function is introduced to solve the ASMC problem and eliminate the constraint on input gains. The switching control term is represented as a proportional integral (PI) control format to reduce chattering phenomenon and the Lyapunov theory is used to guarantee the stability of the control systems. An experimental simulation is conducted to verify the effectiveness of the proposed sliding mode control (SMC) strategy.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Irfan Sami, Shafaat Ullah, Nasim Ullah, Jong-Suk Ro
Summary: This paper presents a high-performance control system for wind power generation based on fuzzy fractional-order terminal sliding mode control, which achieves a balance between control performance and chattering elimination through the boundary layer approach. Additionally, a novel wind speed estimation technique based on Gaussian process regression is proposed.
Article
Energy & Fuels
Aqeel Ur Rahman, Syeda Shafia Zehra, Iftikhar Ahmad, Hammad Armghan
Summary: Hydrogen-based electric vehicles are essential for clean energy systems, especially in addressing CO2 emissions and fuel economy crises. This paper presents a supertwisting sliding mode control based nonlinear controller for the hybrid energy storage system of FHEVs, along with a fuzzy logic-based energy management unit to reduce hydrogen consumption. Global stability of the system is ensured using Lyapunov based analysis. The proposed approach successfully reduces hydrogen fuel consumption by 29% compared to existing FHEVs, while also demonstrating robustness to parametric variations through tests. Hardware-in-the-loop experiments validate the effectiveness of the proposed framework.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Mathematics
Mai The Vu, Khalid A. Alattas, Yassine Bouteraa, Reza Rahmani, Afef Fekih, Saleh Mobayen, Wudhichai Assawinchaichote
Summary: This paper proposes an optimal fuzzy enhanced sliding mode control approach for a Stewart parallel robot platform, which achieves optimum performance and minimum control effort by designing a table of rules for the fuzzy system to provide the required coefficients of the sliding mode controller. The proposed approach reduces chattering and effectively responds to control energy demands, while preventing actuator saturation.
Article
Engineering, Electrical & Electronic
Tianyu Ouyang, Fengying Ma, Baolong Zhu, Peng Ji, Lei Lian
Summary: In this study, a sliding mode controller and a fuzzy sliding mode control method were designed to address the issue of high susceptibility to external disturbances in microbial fuel cells. Simulation results demonstrated that the designed methods exhibited smaller steady-state error and overshoot compared to other control approaches.
Article
Computer Science, Information Systems
Shenhui Du, Yang Liu, Yao Wang, Ying Li, Zhibang Yan
Summary: This paper proposes an improved sliding mode observer (ISMO) compound control scheme combined with a disturbance observer to solve the chattering and anti-disturbance problems of the traditional sliding mode observer (SMO) for permanent magnet synchronous motor (PMSM) in a sensorless control system. The proposed ISMO replaces the sign function with an exponential type input function and introduces fuzzy control rules and integral sliding mode surface to improve the system observation accuracy and reduce chattering. The stability of the proposed ISMO is proved using Lyapunov's law. Furthermore, an improved sliding mode disturbance observer (ISMDO) is constructed as a feed-forward compensator to optimize the dynamic performance of the improved observation system and ensure system robustness.
Letter
Automation & Control Systems
Huayang Sai, Zhenbang Xu
Summary: A flaw is identified in the proof of a central result (Theorem 2) in a recent paper by Zhang et al. (2021).
Article
Engineering, Electrical & Electronic
Gang Chen, Yichen Jiang, Keyi Guo, Liangmo Wang
Summary: This paper proposes a speed tracking method for unmanned driving robot vehicles by adjusting the sliding mode gains using a fuzzy adaptive system. The effectiveness and stability of the proposed method is demonstrated through model establishment and control law derivation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Civil
Jinghua Guo, Wenchang Li, Jingyao Wang, Yugong Luo, Keqiang Li
Summary: This paper proposes an adaptive cruise control framework considering regenerative braking to improve safety and energy efficiency of IEVs during the car-following process. The framework includes a coupled and nonlinear dynamic model of IEVs system, an adaptive fuzzy sliding mode high-level controller, and traction control, brake control, and a regenerative braking strategy in the lower-level controller. Simulation results demonstrate excellent performance in longitudinal tracking and braking energy recovery without safety loss.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Business
Chia-Wen Chang, Heng-Chiang Huang
Summary: This study investigates the relationship between global mindset, relational capability, bricolage capability, innovation, and export performance in exporting firms. The findings show that global mindset positively influences relational and bricolage capabilities, which in turn have a significant impact on innovation. Innovation is found to be positively associated with export performance. This study contributes to the understanding of the important role of global mindset in capability-building and the mediating effect of innovation on export performance.
JOURNAL OF BUSINESS & INDUSTRIAL MARKETING
(2022)
Article
Chemistry, Analytical
Chia-Wen Chang, Yu-Hsuan Lin, Cheng-Han Tsai, Sivasankar Kulandaivel, Yi-Chun Yeh
Summary: A novel heat-stable enzyme was developed for a protein-and cell-based biosensor, enabling the detection of L-DOPA for the first time. The detection of L-DOPA was achieved through a red fluorescent signal within 30 minutes. Furthermore, a sequential analysis method using dual-fluorescent signals was developed for the sensitive detection of dopamine and L-DOPA coexistence, allowing for monitoring of the therapy for Parkinson's disease patients treated with L-DOPA.
ANALYTICA CHIMICA ACTA
(2022)
Article
Psychology, Multidisciplinary
Chiu-Ping Hsu, Chia-Wen Chang
Summary: This study examines the relationship between online social capital and psychological capital, finding that learning and social interactions play a crucial role in helping players establish online social capital, thus improving their psychological capital.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Article
Business
Chia-Wen Chang, Chiu-Ping Hsu
Summary: This study provides a conceptual framework for examining the relationship between online game product engagement and online brand community engagement, and how they affect offline benefits for customers and online and offline benefits for companies. The findings highlight the role of learning, entertainment, flow, and social interaction in explaining online game product engagement. Additionally, online game product engagement positively influences online brand community engagement, which in turn drives offline benefit for customers and online and offline benefits for firms. The study contributes by exploring both online and offline benefits for companies and customers, investigating two types of customer engagement, and using the concept of virtual experience to explore the antecedents of online game product engagement.
JOURNAL OF PRODUCT AND BRAND MANAGEMENT
(2022)
Article
Chemistry, Applied
Yu-San Chien, Chia-Wen Chang, Chia-Chi Huang
Summary: We report the fabrication of a SERS sensor using alumina beads as the solid support and demonstrate its high sensitivity with the model analyte 4-APDS. The key to sensitivity is a hydrophilic-hydrophobic surface gradient constructed by sequentially coating with surfactant and fluorous silane. The practicality of the sensor beads is evidenced by successfully tracking the SERS fingerprints of five food colorant standards.
Article
Engineering, Multidisciplinary
Chia-Wen Chang
Summary: An adaptive quantized fuzzy backstepping controller (AQFBC) is proposed for a strict state feedback nonlinear system with quantized input signal and uncertainties. The controller utilizes backstepping technique and adaptive law to estimate unknown parameters, and introduces fuzzy compensator to guarantee system stability.
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
(2022)
Article
Engineering, Chemical
Chia-Wen Chang, Chin-Wang Tao
Summary: This paper presents a fuzzy motion control algorithm for a monocular vision system in a cooperative transportation system of two humanoid robots. The algorithm includes three stages: object searching, walking towards the transported object, and cooperating to move the object. The algorithm utilizes fuzzy techniques for synchronous movement control.
Article
Chemistry, Analytical
Yeong-Hwa Chang, Ya-Ying Zhang
Summary: With the rapid development of artificial intelligence, the attention on deep learning has increased. In this paper, a lightweight learning algorithm YOLOv5s is introduced for the recognition of clothing styles. Experimental results show that YOLOv5s outperforms other learning algorithms in terms of recognition accuracy and detection speed.
Article
Biotechnology & Applied Microbiology
Jacob C. C. Holter, Chia-Wen Chang, Alex Avendano, Ayush A. A. Garg, Ajeet K. K. Verma, Manish Charan, Dinesh K. K. Ahirwar, Ramesh K. K. Ganju, Jonathan W. W. Song
Summary: This study reveals the significant role of fibroblast-secreted CXCL12 in promoting increased vascular permeability in tumors, but autocrine CXCL12 is not the primary trigger for fibroblast contraction.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Review
Neurosciences
Chia-Wen Chang, Hsin-Ya Tzeng, Ching-Yuan Ma, Shih-Ting Li, Kuan-Jung Chen, Hui-Hsun Chiang
Summary: This study conducted a systematic review and meta-analysis to investigate the effect of exercise on the quality of life in patients with traumatic brain injury. The findings suggest that exercise can improve the quality of life in these patients, but further long-term research is needed to confirm these results.
Article
Public, Environmental & Occupational Health
Chun-Yen Huang, Jia-In Lee, Chia-Wen Chang, Yao-Hua Liu, Shu-Pin Huang, Szu-Chia Chen, Jiun-Hung Geng
Summary: The study found a significant association between CKD and the probability of developing cataracts, with a higher incidence of cataracts in the CKD group in the validation cohort. Therefore, CKD patients and their primary physicians should be aware of the possible relationship between CKD and cataracts.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Energy & Fuels
Yeong-Hwa Chang, Yu-Chen Hsieh, Yu-Hsiang Chai, Hung-Wei Lin
Summary: This paper aims to establish a predictive model for battery lifetime using data analysis. The procedure of model establishment is illustrated in detail, including the data pre-processing, modeling, and prediction. The characteristics of lithium-ion batteries are introduced. In this study, data analysis is performed with MATLAB, and the open-source battery data are provided by NASA. The addressed models include the decision tree, nonlinear autoregression, recurrent neural network, and long short-term memory network. In the part of model training, the root-mean-square error, integral of the squared error, and integral of the absolute error are considered for the cost functions. Based on the defined health indicator, the remaining useful life of lithium-ion batteries can be predicted. The confidence interval can be used to describe the level of confidence for each prediction. According to the test results, the long short-term memory network provides the best performance among all addressed models.
Article
Medicine, General & Internal
Hui-Hsin Yang, Chia-Wen Chang, Tai-Di Chen
Summary: Nivolumab, an immune checkpoint inhibitor (ICI), can rarely cause kidney injury, with acute interstitial nephritis (AIN) being the most common form. A 58-year-old woman with gastric cancer developed an increase in serum creatinine (Cr) to 5.94 mg/dL after 2 cycles of nivolumab and co-administration of acemetacin. A kidney biopsy revealed acute tubular injury (ATI). Nivolumab rechallenge resulted in further worsening of Cr, and lymphocyte transformation test (LTT) showed a strong positive for nivolumab. Although rare, ATI caused by ICIs cannot be ruled out, and LTT is a useful tool to identify the responsible agent.
CLINICAL CASE REPORTS
(2023)
Article
Chemistry, Multidisciplinary
Yi-Shan Hung, Chia-Wen Chang, Yi Chen Shen, Yun-Chi Yu, Wei-Lun Huang, Chia-Chi Huang
Summary: This study investigates the effect of fluorescent carbon nanodots on the surface electromagnetic field of photoexcited silver nanoparticles. It is found that fluorescent carbon nanodots can mediate the aggregation of silver nanoparticles of matching size and shape to form nano-size conical structures, leading to enhanced electromagnetic field in proximity to the silver surface. The elevated energy state is confirmed by strengthening of the SERS signal and molecular spectroscopy studies.
Proceedings Paper
Engineering, Industrial
Chi-Min Cheng, Hsi-Wei Chao, Chu-Chiao Yen, Kun-Ting Chiang, Wei-Yao Chang, Chia-Wen Chang, Ya-Ping Chen, Hsien-Wei Ho, Chun-Yu Ko, Chun-Liang Kuo
Summary: With the fast development of technology, the use and demand for handheld devices are increasing, resulting in quicker development and launch of new tech products. Solder joint reliability plays a crucial role in ensuring the durability of handheld devices, which undergo various movements, falls, and temperature changes. Furthermore, it is significant to identify critical factors during the design development phase and meet market demands.
2022 17TH INTERNATIONAL MICROSYSTEMS, PACKAGING, ASSEMBLY AND CIRCUITS TECHNOLOGY CONFERENCE (IMPACT)
(2022)
