A5100630994- Adaptive Control of Nonlinear Systems
- Dynamics and Control of Mechanical Systems
- Iterative Learning Control Systems
- Prosthetics and Rehabilitation Robotics
- Control Systems in Engineering
- Hydraulic and Pneumatic Systems
- Sensorless Control of Electric Motors
- EEG and Brain-Computer Interfaces
- Control and Dynamics of Mobile Robots
- Stability and Control of Uncertain Systems
- Advanced Control Systems Design
- Advanced machining processes and optimization
- Soft Robotics and Applications
- Advanced Battery Technologies Research
- Advanced Image and Video Retrieval Techniques
- Environmental Quality and Pollution
- Multilevel Inverters and Converters
- Functional Brain Connectivity Studies
- Advanced Neural Network Applications
- Teleoperation and Haptic Systems
- Adsorption and biosorption for pollutant removal
- Control Systems and Identification
- Microgrid Control and Optimization
- Advanced Memory and Neural Computing
- Machine Fault Diagnosis Techniques
Chongqing University of Posts and Telecommunications
2017-2024
Beijing Jiaotong University
2024
Jiangsu Province Science and Technology Department
2024
Kunming University of Science and Technology
2023
Southwest Jiaotong University
2019-2022
Northeastern University
2022
Nantong University
2020
Nanyang Technological University
2020
Tiangong University
2019
Southeast University
2015-2016
Compliant actuators are significant for safe physical human-robot interaction. Series elastic actuator (SEA) is the most popular type of compliant actuators, which possesses several attractive features, such as low output impedance, back drivability, shock tolerance, smooth force transmission, and energy efficiency. This brief focuses on adaptive command-filtered backstepping control (CFBC) design robot arms driven by SEAs. The CFBC alleviates complexity problem in integrator has attracted...
Compliant actuators can offer many attractive features over stiff in real human-robot interaction applications, such as low output impedance, smooth force transmission, and shock tolerance. This brief focuses on a robust sliding mode control (SMC) methodology for robotic systems with compliant actuators. First, continuous SMC design is introduced due to its advantages of strong robustness chattering attenuation. However, this structure cannot guarantee high tracking performance the presence...
Motor Imagery (MI) based on Electroencephalography (EEG), a typical Brain-Computer Interface (BCI) paradigm, can communicate with external devices according to the brain's intentions. Convolutional Neural Networks (CNN) are gradually used for EEG classification tasks and have achieved satisfactory performance. However, most CNN-based methods employ single convolution mode kernel size, which cannot extract multi-scale advanced temporal spatial features efficiently. What's more, they hinder...
In this paper, we discuss the speed regulation problem of permanent magnet synchronous motor (PMSM) servo systems. Firstly, a continuous terminal sliding mode control (CTSMC) method is introduced for loops to eliminate chattering phenomenon while still ensuring strong disturbance rejection ability closed-loop system. However, in presence disturbances, CTSMC law needs select high gain which may result large steady-state fluctuations PMSM To end, an extended state observer (ESO)-based...
A robust finite-time control (FTC) framework using continuous terminal sliding-mode (SMC) and high-order observer (HOSMO) is discussed to realize the trajectory tracking of flexible-joint robots in this article. Control performances always suffer from unknown matched mismatched time-varying disturbances. Traditional SMC exists with a chattering phenomenon cannot cope disturbances due its inherent structure property. For reason, two HOSMOs are devised estimate on link motor side,...
Motor imagery Electroencephalogram (EEG) signals have been widely used in the field of brain-computer interface (BCI) due to their advantage non-invasiveness and easy acquisition. However, distortions temporal local information EEG signal inter-subject variability, it is very time-consuming perform a calibration procedure designed subject-specific manner, which requires large number labeled samples. To this end, we construct brain graph based on electrode distribution propose new subdomain...
This paper considers the problems of robust stability analysis and H ∞ controller synthesis for uncertain discrete‐time switched systems with interval time‐varying delay nonlinear disturbances. Based on system transformation by introducing a Lyapunov‐Krasovskii functional, novel sufficient conditions, which guarantee that is asymptotically stable are obtained in terms linear matrix inequalities. Then, control via state feedback studied class uncertainties We designed to stabilize disturbance...
This brief considers a robust finite-time output feedback control scheme for the tracking problem of flexible-joint (FJ) robotic systems subject to unknown matched and mismatched time-varying disturbances. For this purpose, novel dynamic terminal sliding mode surface is firstly constructed base on observer. Then, continuous developed cope with these Besides, proposed controller guarantees convergence closed-loop system requires only measurements link positions. Finally, two-link FJ robot as...
Feature Pyramid (FP) is typically a fundamental component for detecting multi-scale objects. However, as the network deepens, FP faces two problems: (1) Information loss caused by channel reduction. (2) The insufficient effective receptive field due to convolution with sliding window mode. We found that above problems can be alleviated increasing semantics extraction weights of off-centered feature map. In this paper, new pyramid architecture named Off-Centered Semantics Refinement Network...
For the purpose of better inhibiting chattering phenomenon and elevating control performance magnetic levitation system under multiple disturbances, a continuous integral terminal sliding mode controller (CITSMC) based on generalized disturbance estimation (GDE) is put forward in this paper. Firstly, stemming from mechanism modeling approach, an approximate nonlinear model ball established, then (ITSMC) designed to guarantee finite-time convergence. Due system's vulnerability external...