A5100769705- Adaptive Control of Nonlinear Systems
- Teleoperation and Haptic Systems
- Iron and Steelmaking Processes
- Metallurgical Processes and Thermodynamics
- Mineral Processing and Grinding
- Distributed Control Multi-Agent Systems
- Dynamics and Control of Mechanical Systems
- Iterative Learning Control Systems
- Fault Detection and Control Systems
- Control Systems and Identification
- Soft Robotics and Applications
- Machine Learning and Data Classification
- Stability and Control of Uncertain Systems
- Optimal Experimental Design Methods
- Hydraulic and Pneumatic Systems
- Control and Dynamics of Mobile Robots
- Network Time Synchronization Technologies
- Vehicle Dynamics and Control Systems
- Machine Learning and Algorithms
- Neural Networks and Applications
- Vibration and Dynamic Analysis
- Geophysics and Sensor Technology
- Advanced Multi-Objective Optimization Algorithms
- Fuzzy Logic and Control Systems
- Physics of Superconductivity and Magnetism
Yanshan University
2016-2025
Institute of Electrical Engineering
2016-2025
Chinese Academy of Sciences
2000-2025
University of Chinese Academy of Sciences
2025
Xinxiang Central Hospital
2024
Southwest Jiaotong University
2005-2024
Guangzhou University
2022-2024
Kaili University
2022-2024
Ministry of Education of the People's Republic of China
2023
Xi’an University of Posts and Telecommunications
2022
In this study, the state feedback fixed‐time control problem is addressed for a class of high‐order strict‐feedback non‐linear systems (SFNSs) with mismatching system uncertainties. Based on technique and uniform exact difference method, new tracking algorithm via backstepping method in conjunction novel second‐order sliding mode super‐twisting‐like structure adaptive disturbance observer proposed. Compared many existing finite‐time results which convergence time grows unboundedly when...
Since the hot metal silicon content simultaneously reflects product quality and thermal state of blast furnace, its modeling is crucial representative. In order to facilitate realization control, this paper proposes a Bayesian block structure sparse based Takagi-Sugeno (T-S) fuzzy method, with which main important rules corresponding pivotal consequent parameters can be selected automatically obtain compact model good generalization performance. For being conjugate Gaussian likelihood that...
Since the hot metal silicon content simultaneously reflects product quality and thermal state of blast furnace, accurately predicting development tendency has immensely guiding role for furnace operators. This paper focuses on fuzzy classifier design based operation data. The cross characteristic binary classification problem was found via embedding high-dimensional data into a two-dimensional space. Then, presented nonparallel hyperplanes classifier, which conquered still holding...
The main method of modern ironmaking is blast furnace ironmaking, which a very complex nonlinear dynamic process with physical-chemical coupling. hot metal the final product furnace, and its silicon content not only reflects quality but also characterizes operation status so accurate prediction important for furnace. Given bottleneck problem in application existing model this article proposed novel data-driven modeling method. First, Takagi–Sugeno (T–S) fuzzy constructed to completely...
Finite-time stability (FTS) is desirable in teleoperation control as it provides fast transient, high-precision, and better disturbance rejection properties. In most cases, a stringent condition on communication time delays or an additional time-delay estimation method necessary to guarantee finite-time synchronization with the existing schemes for system. This article proposes first result of global algorithm system without any approximation function. Specifically, novel proportional plus...
This article is devoted to the fixed-time synchronous control for a class of uncertain flexible telerobotic systems. The presence unknown joint coupling, time-varying system uncertainties, and external disturbances makes different from those in related works. First, lumped dynamics uncertainties are estimated successfully by designing new composite adaptive neural networks (CANNs) learning law skillfully. Moreover, fast-transient, satisfactory robustness, high-precision position/force...
In this article, a novel adaptive fixed-time terminal sliding mode control (AFiTSMC) algorithm is proposed for class of underactuated unmanned surface vessels (USVs) with model uncertainties, external disturbances and actuator constraints. Specially, by introducing variable exponent coefficient that depends on the system states, nonsingular (NTSM) based controller designed, which not only beneficial to maintain continuity, non-singularity higher robustness lumped but also ensures tracking...
The failure of zinc metal batteries usually involves the instability protection layer anode due to water penetrating and dissolution during long-term operation, leading to...
For complex and difficult-to-control blast furnace systems with hour-level delay, accurate prediction of molten iron quality plays a very important role in guaranteeing the stable smooth operation. Recently, some data-driven multi-input multi-output (MIMO) modeling methods have been proposed to model multiple indicators including temperature, silicon content ([Si]), phosphorus ([P]), sulfur ([S]). However, those MIMO models ignore interindicator correlation, which leads suboptimal for...
Abstract The eastern margin of the Tibetan plateau is characterized by dramatic variations in topography and crustal thickness, as well pronounced large‐scale lateral heterogeneity. Small‐scale heterogeneities could indicate material composition dynamic processes, which have been less studied this area. Here, we analyze direct P ‐, S ‐wave their coda from ∼61,000 three‐component seismograms frequency band 2–4 Hz. By fitting observed envelope functions using a 3D radiative transport theory...