A5045396189- Adaptive Control of Nonlinear Systems
- Inertial Sensor and Navigation
- Distributed Control Multi-Agent Systems
- GNSS positioning and interference
- Geophysics and Gravity Measurements
- Target Tracking and Data Fusion in Sensor Networks
- Adaptive Dynamic Programming Control
- Stability and Control of Uncertain Systems
- Ionosphere and magnetosphere dynamics
- Neural Networks Stability and Synchronization
- Sensorless Control of Electric Motors
- Underwater Vehicles and Communication Systems
- Aerosol Filtration and Electrostatic Precipitation
- Control and Dynamics of Mobile Robots
- High voltage insulation and dielectric phenomena
- Advanced Control Systems Optimization
- Iterative Learning Control Systems
- Advanced Frequency and Time Standards
- Indoor and Outdoor Localization Technologies
- Neural Networks and Applications
- Electric Motor Design and Analysis
- Control Systems in Engineering
- Lightning and Electromagnetic Phenomena
- Advanced Algorithms and Applications
- Magnetic Bearings and Levitation Dynamics
Qingdao University
2016-2025
Harbin Engineering University
2015-2024
Naval University of Engineering
2009-2024
Northeastern University
2018-2024
Western University
2004-2024
Gannon University
2008-2024
Zhengzhou University
2024
Bridge University
2024
Institute of Geology and Geophysics
2021-2024
Chinese Academy of Sciences
2021-2024
This paper considers the fuzzy finite-time tracking control problem for a class of nonlinear systems with input saturation. A novel command filtered backstepping approach is proposed by introducing filter, designing new virtual signals and modified error compensation signals. The not only holds advantages conventional command-filtered control, but also guarantees convergence. practical example included to show effectiveness method.
A terminal sliding mode control (SMC) method based on nonlinear disturbance observer is investigated to realize the speed and current tracking for permanent magnet synchronous motor (PMSM) drive system in this paper. The proposed adopts speed-current single-loop structure instead of traditional cascade vector PMSM. First, considering coupling characteristic, a controller designed PMSM through feedback linearization technology. This can make reach reference value finite time, which fast...
This paper is concerned with the finite-time consensus tracking control problems of uncertain nonlinear multiagent systems. A neural network-based distributed adaptive scheme developed, which can guarantee achieved in finite time sufficient accuracy presence unknown mismatched dynamics. Such a feature by modified command filtered backstepping technique based on high-order sliding mode differentiator. Moreover, proposed completely distributed, since laws only use local information. In...
This paper investigates the finite-time attitude tracking control for a rigid spacecraft in presence of inertia uncertainties and external disturbances. Two novel time-varying terminal sliding mode algorithms are derived system. The proposed two not only eliminate reaching phase conventional but also guarantee errors converge to zero finite time. Moreover, singularity problem can be avoided. Simulation results provided demonstrate effectiveness design methods.
In this paper, the adaptive finite-time attitude tracking control problem for rigid spacecraft with upper bounds unknown external disturbances is studied by using a novel combining scheme of technique and adding power integrator (AAPI) technique. An law boundary layer first established under proposed combined scheme, which can attenuate influences contain advantages AAPI Then, another without further given, simply design. It proved that both two laws ensure errors converge to desired regions...
In this paper, the problem of adaptive finite-time attitude containment control for multiple spacecrafts with unknown external disturbances in spacecraft formation flying is investigated. A distributed strategy combined command filtered backstepping (FTCFB) and an technique proposed, which can guarantee errors attitudes between leader follower reaching desired neighborhood finite time. Moreover, applied second-order sliding mode differentiator FTCFB make output filter fast approximate...
In this article, a new command filtered backstepping based finite-time adaptive fuzzy tracking control scheme for class of unknown nonlinear systems with full-state constraints is established. First, the proposed filter will filtering virtual signal and get intermediate within finite-time, so problem calculating complexity not occur in process. Then, fraction-power-based error compensate set up, which can eliminate influence on performance. Considering that nonlinearities exist system, logic...
This article is concerned with the tracking control problem for uncertain high-order nonlinear systems in presence of input saturation. A finite-time strategy combined neural state observer and command filtered backstepping proposed. The network models unknown dynamics, filter (FTCF) guarantees approximation its output to derivative virtual signal finite time at procedure, fraction power-based error compensation system compensates filtering errors between FTCF signal. In addition, saturation...
In this paper, a distributed output feedback consensus tracking control scheme is proposed for second-order multi-agent systems in the presence of uncertain nonlinear dynamics, external disturbances, input constraints, and partial loss effectiveness. The controllers incorporate reduced-order filters to account unmeasured states, neural networks technique implemented approximate dynamics synthesis algorithms. order compensate actuator effectiveness faults, fault-tolerant parts are included...
The lithium-ion battery has become the primary energy source of many electronic devices. Accurately forecasting remaining useful life (RUL) a plays an essential role in ensuring reliable operatioin system. This paper investigates RUL prediction problem with capacity regeneration phenomena. We aim to reduce accumulation error by integrating different degradation models and thereby improve accuracy long-term RUL. To describe process more accurately, we decoupled into two types: normal...
This article is concerned with the containment control of multiple manipulators uncertain parameters. A novel distributed adaptive backstepping strategy given in finite-time framework. The command filters (FTCFs) used can avoid explosion complexity problem for conventional backstepping. To further improve performance, filtering errors caused by FTCFs are removed using error compensation mechanism (ECM). proposed virtual signal, torque, and updating law guarantee set tracking converge to an...
In this paper, the electrohydrodynamic (EHD) flow in a single wire-plate electrostatic precipitator has been analyzed numerically by employing hybrid Finite-Element Method-Method of Characteristics numerical algorithm and commercial computational fluid dynamic software FLUENT6.2. Parameters defining both electric fields were predicted. The interaction between discussed adopting proposed two-way coupling algorithm. With help dimensionless analysis, an entire regime map developed for different...