Article
Engineering, Biomedical
Ehsan Jafari, Abbas Erfanian
Summary: This paper proposes a distributed cooperative control framework based on an adaptive higher-order sliding mode (AHOSM) controller to address the challenges of disturbance and stimulation pattern design in functional electrical stimulation (FES) cycling. Simulation studies and experiments show that the proposed control strategy significantly improves the efficiency and accuracy of motor-assisted FES cycling and reduces power consumption compared to traditional controllers.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Article
Automation & Control Systems
Hanlin Dong, Xuebo Yang, Huijun Gao, Xinghuo Yu
Summary: This article proposes a new terminal sliding-mode control method that can stabilize second-order systems within a finite time and reduce friction. The method has a fast dynamic response and local high gain characteristics, and the required time to slide into a preset small neighborhood of the origin can be calculated. In addition, experiments verify the superiority of this control method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Chemistry, Multidisciplinary
Suhun Jung, Jae Hwan Bong, Seung-Jong Kim, Shinsuk Park
Summary: A novel machine-learning-based FES control algorithm was proposed in this study to enhance gait rehabilitation in post-stroke hemiplegic patients. The system controlled electrical stimulation via deep neural networks trained using muscle activity data from healthy people during gait, and was tested with healthy human subjects in comparison with a conventional FES control method.
APPLIED SCIENCES-BASEL
(2021)
Article
Mathematics
Zahra Mokhtare, Mai The Vu, Saleh Mobayen, Afef Fekih
Summary: This paper proposes a fuzzy fast terminal sliding mode control approach based on linear matrix inequality (LMI) for a multi-input multi-output (MIMO) system. The approach aims to achieve finite-time convergence of system trajectories to desired values and eliminate chattering problem. The fuzzy logic approach is used to fine tune control parameters and reduce tracking error and control signal amplitude. Simulation results on a direct current (DC) motor demonstrate the effectiveness of the proposed control design.
Article
Automation & Control Systems
Lucas Wan, Ya-Jun Pan, Henghua Shen
Summary: This article presents a distributed control policy for Euler-Lagrange agents in a leader-follower-based communication network with time-varying delays. The policy integrates nonsingular terminal sliding mode control with mixed-type feedback and time-varying adaptive control parameters, and the control gain and proportions of feedback are adjusted online using fuzzy logic control. The proposed NTSMC+FLC approach improves synchronization performance compared to the NTSMC approach with constant parameters, as demonstrated by the assessment of total and maximum tracking errors of the agents.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Engineering, Aerospace
Hamed Yadegari, Jalil Beyramzad, Esmaeel Khanmirza
Summary: This paper presents a novel robust attitude controller for satellite applications with magnetic actuation. At the kinematical level, a terminal sliding mode (TSM)-based sliding surface is proposed for attitude tracking. At the dynamical level, a controller is designed for robust stabilization of the sliding surface. Time delay estimation (TDE) is used to estimate the uncertainty caused by parametric uncertainty and external disturbances. The TDE output is combined with an interval type-2 fuzzy logic (IT2FL)-based robust TSM controller. The control strategy shows fast convergence of tracking errors and strong robustness against disturbances/parametric uncertainty.
ADVANCES IN SPACE RESEARCH
(2022)
Article
Automation & Control Systems
Xinyi Su, Xiaofeng Yang, Yunlang Xu
Summary: This paper presents a new fuzzy adaptive terminal sliding mode control method for a reluctance-motor maglev system (RMMS) with limited system information, based on a novel full-regulated recurrent neural network (RNN) compensator. The proposed method can handle uncertainties, external disturbances, and adjust the switching gain by the dynamic information of the system to reduce overestimation. The experimental results demonstrate nanoscale suspension accuracy, significant chattering suppression, and strong robustness.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Biomedical
Chunfu Lu, Ruite Ge, Zhichuan Tang, Xiaoyun Fu, Lekai Zhang, Keshuai Yang, Xuan Xu
Summary: This study proposes a multi-channel FES gait rehabilitation assistance system based on adaptive myoelectric modulation. The system collects sEMG data and predicts muscle activation values to provide effective walking assistance, offering new ideas and methods for sEMG-controlled FES rehabilitation applications.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Article
Automation & Control Systems
Bo Wang, Tianqing Wang, Yong Yu, Dianguo Xu
Summary: This article proposes a second-order terminal sliding-mode (SO-TSM) speed controller with nonlinear control gain for high-end industrial application of induction motors. The method introduces a convergence trajectory without speed overshoot by designing a SO-TSM manifold, and compensates external disturbance with an integral term control law using the antiwindup mechanism. The torque rejection capability of the method is represented by the gain value of the integral term, and the experimental results demonstrate its strong torque rejection capability.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Shixi Hou, Cheng Wang, Yundi Chu, Juntao Fei
Summary: Based on the global fast terminal sliding mode control, this article proposes a recurrent probabilistic compensation fuzzy neural network control scheme for handling nonlinear systems with uncertainties. The developed RPCFNN controller possesses superior nonlinearity handling capability and robustness.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Ning Zhou, Wenxiang Deng, Xiaowei Yang, Jianyong Yao
Summary: In this paper, a high-performance motion control scheme for DC motors is proposed, which effectively reduces the impact of parameter uncertainties and unmodeled disturbances on tracking performance.
INTERNATIONAL JOURNAL OF CONTROL
(2023)
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
Neurosciences
Hongtao Dong, Jie Hou, Zhaoxi Song, Rui Xu, Lin Meng, Dong Ming
Summary: This study developed a multiple-channel FES walking assistance system based on an adaptive reflexive control strategy, which can improve gait assistance and rehabilitation for patients. By integrating a reflexive FES controller with an iterative learning algorithm, the system can generate fitted stimulation sequences based on real-time gait phase detection and feedback. The results showed improved motion range in hip, knee, and ankle joints, especially in hip and knee flexion and ankle dorsiflexion, compared to purely reflexive FES control.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Automation & Control Systems
Hongde Qin, Jinshuai Si, Ning Wang, Liyang Gao, Kangjian Shao
Summary: This paper presents a novel disturbance estimator-based fast fuzzy terminal sliding-mode formation control method. The leader-follower formation control method is combined with path planning strategy based on artificial potential field to ensure collision-free and consensus movement for each AUV. An improved sliding-mode surface is incorporated into the controller for faster convergence rate away from the stable equilibrium. Fuzzy control rules derived from the Lyapunov energy function are designed to eliminate the chattering problem in the controller. A disturbance estimator is proposed to compensate for unknown dynamics and disturbances, enhancing the system's robustness and stability. Simulation and comparison results are provided to demonstrate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Guven Balta, Cagdas Hisar, Necmi Altin
Summary: This paper addresses the issue of disturbances and uncertainties in power electronics circuits and proposes the use of hysteresis modulation based sliding mode control to minimize chattering effect. It also introduces fuzzy logic control for switching frequency regulation in power electronics circuits. Experimental tests demonstrate the successful regulation of switching frequency and output voltage, highlighting the dynamic and steady state performance of the proposed techniques.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Biomedical
Yaser Fathi, Abbas Erfanian
JOURNAL OF NEURAL ENGINEERING
(2019)
Article
Engineering, Electrical & Electronic
Mahdi Hosseinnejad, Abbas Erfanian, Mohammad Azim Karami
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2019)
Article
Energy & Fuels
Anahita Bagheri, Abbas Erfanian, Adib Abrishamifar
Article
Multidisciplinary Sciences
Milad Jabbari, Abbas Erfanian
SCIENTIFIC REPORTS
(2019)
Article
Engineering, Biomedical
Behnaz Akbarian, Abbas Erfanian
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2020)
Article
Engineering, Electrical & Electronic
Anahita Bagheri, Abbas Erfanian, Adib Abrishamifar
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
(2020)
Article
Engineering, Biomedical
Yaser Fathi, Abbas Erfanian
Summary: The study aimed to decode hindlimb kinematics during walking by recording sensory and motor information from the spinal cord. Two experimental paradigms were used, with results showing no significant difference in information content between DC and LC signals during walking, but DC signals had higher content during passive movement. Decoding performance using DC signals was comparable to LC during locomotion, with significantly better performance from DC channels. Long-term analysis showed robust decoding performance over 2-3 months.
JOURNAL OF NEURAL ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Abolhasan Yousefpour, Abbas Erfanian
Summary: The study introduces a closed-loop control of intraspinal microstimulation (ISMS) for efficient bladder voiding, utilizing asynchronous two-electrode stimulation to activate bladder motoneurons and inhibit urethral sphincter motoneurons. This approach achieves high voiding efficiency and presents a promising method for restoring bladder functions with a natural and robust motor neuroprosthesis device.
SCIENTIFIC REPORTS
(2021)
Article
Neurosciences
Yaser Fathi, Abbas Erfanian
Summary: This study demonstrates that neural signals recorded from the spinal cord's lateral and dorsal columns have the potential to decode hindlimb kinematics during locomotion. The findings show that hindlimb joint angles can be accurately decoded from the signals recorded on both sides of the spinal cord. Additionally, the results suggest that the theta frequency band contains the most limb kinematics information and increases with higher locomotion speed.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Mahdi Hosseinnejad, Mostafa Katebi, Abbas Erfanian, Mohammad Azim Karami
Summary: This paper presents a programmable neurostimulator with an operating voltage of 7.2V and output voltage compliance exceeding 6.2V. It utilizes a current gain control, a 5-bit current mode digital-to-analog converter (DAC), and a high output impedance current mirror to ensure charge balancing. The proposed neurostimulator has a compact size of 0.95 x 0.95 mm(2), a maximum current range of 0-2000 mu A, and a power consumption less than 60 mu W.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2023)
Article
Engineering, Biomedical
Ehsan Jafari, Abbas Erfanian
Summary: This paper proposes a distributed cooperative control framework based on an adaptive higher-order sliding mode (AHOSM) controller to address the challenges of disturbance and stimulation pattern design in functional electrical stimulation (FES) cycling. Simulation studies and experiments show that the proposed control strategy significantly improves the efficiency and accuracy of motor-assisted FES cycling and reduces power consumption compared to traditional controllers.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Anahita Bagheri, Abbas Erfanian
2020 28TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE)
(2020)
Proceedings Paper
Engineering, Electrical & Electronic
Mahdi Hosseinnejad, Abbas Erfanian, Mohammad Azim Karami
2019 27TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2019)
(2019)
Proceedings Paper
Energy & Fuels
Mahdi S. Mousavi, S. Alireza Davari, Vahab Nekoukar, Jose Rodriguez
2019 10TH INTERNATIONAL POWER ELECTRONICS, DRIVE SYSTEMS AND TECHNOLOGIES CONFERENCE (PEDSTC)
(2019)
Article
Engineering, Biomedical
Behraz Farrokhi, Abbas Erfanian
JOURNAL OF NEURAL ENGINEERING
(2020)