A5001917503- Model Reduction and Neural Networks
- Adaptive Control of Nonlinear Systems
- Fluid Dynamics and Turbulent Flows
- Stability and Control of Uncertain Systems
- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Probabilistic and Robust Engineering Design
- Fuzzy Logic and Control Systems
- Computational Fluid Dynamics and Aerodynamics
- Neural Networks and Applications
- Data Mining Algorithms and Applications
- Data Management and Algorithms
- Aerodynamics and Acoustics in Jet Flows
- Control and Stability of Dynamical Systems
- Advanced Sensor and Control Systems
- Advanced Graph Neural Networks
- Robotic Path Planning Algorithms
- Plasma and Flow Control in Aerodynamics
- Control Systems and Identification
- Fault Detection and Control Systems
- Advanced Vision and Imaging
- Smart Parking Systems Research
- Iterative Learning Control Systems
- Brain Tumor Detection and Classification
- Control and Dynamics of Mobile Robots
The University of Adelaide
2017-2025
State Key Joint Laboratory of Environment Simulation and Pollution Control
2024
Tsinghua University
2019-2024
Harbin University of Science and Technology
2024
Harbin Engineering University
2007-2023
Shenzhen University
2023
Hefei University of Technology
2023
The Ohio State University
2004-2006
Fudan University
2002
Harbin Institute of Technology
2001
This article addresses the problem of lateral control for networked-based autonomous vehicle systems. A novel solution is presented nonlinear vehicles to smoothly follow planned path under external disturbances and network-induced issues, such as cyber-attacks, time delays, limited bandwidths. First, a fuzzy-model-based system established represent networked systems subject hybrid cyber-attacks. To reduce network burden effects an asynchronous resilient event-triggered scheme (ETS) proposed....
Abstract The conventional multi-objective optimization method of microgrid power supply grid architecture mainly uses MLIML (multi-load intermediate main line) to obtain multi-segment correction parameters, which are easily affected by the dynamic changes extreme values, resulting in poor indicators. Therefore, a for rural microgrid’s network is proposed based on an internal search algorithm. That is, model constructed, and algorithm used generate process architecture, thereby achieving...
Knowledge tracing (KT) is an intelligent educational technology used to model students' learning progress and mastery in adaptive environments for personalized education. Despite utilizing deep models KT, current approaches often oversimplify exercise records into knowledge sequences, which fail explore the rich information within individual questions. Additionally, existing KT tend neglect complex, higher-order relationships between questions latent concepts. Therefore, we introduce a novel...
The challenging problem of robust formation control pertaining to omnidirectional robots with model uncertainty and actuator saturation is comprehensively investigated in this article. First, an observer-based controller designed ensure the semiglobal uniform ultimate boundedness system's tracking error. Then, both global stability practical finite-time are achieved ascertain practicality observer design. Apart from restricting input amplitude, we also investigate reverse effect caused by...
One of the current three main thrust areas Collaborative Center Control Science (CCCS) at The Ohio State University is feedback control aerodynamic flows. Synergistic capabilities flow team include all required multidisciplinary simulations, low-dimensional and reduced-order modeling, controller design, experimental integration implementation components along with actuators sensors. initial application chosen for study closed-loop shallow subsonic cavity We have made significant progress in...
We present preliminary results on subsonic cavity flow control using reduced-order model based feedback derived from experimental measurements. The was developed the Proper Orthogonal Decomposition of PIV in conjunction with Galerkin projection Navier-Stokes equations onto resulting spatial eigenfunctions. stochastic estimation method used for real-time estimate time coefficients dynamic surface pressure Equilibrium analysis led to linearization around equilibrium point and a controller...
This work investigates the observer-based asynchronous boundary stabilization for a kind of stochastic Markovian reaction-diffusion neural networks with exogenous disturbances. Specifically, parameter uncertainties are considered in drift item. First, hidden Markov model is introduced that guarantees observer modes run asynchronously system modes. It should be noted constructed this only uses measurement information. Then nonfragile controller designed. Taking advantage inequality techniques...
While highly influential in deep learning, especially natural language processing, the Transformer model has not exhibited competitive performance unsupervised graph representation learning (UGRL). Conventional approaches, which focus on local substructures graph, offer simplicity but often fall short encapsulating comprehensive structural information of graph. This deficiency leads to suboptimal generalization performance. To address this, we proposed GraKerformer model, a variant standard...
This paper explores feedback controller design for cavity ∞ows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows that the equilibrium of POD model is unstable and a static output cannot stabilize it. We develop Linear Quadratic (LQ) optimal state controllers LQ observers linearized models. The linear are applied to nonlinear system simulations. robustness numerically tested respect difierent...
In our recent work we presented preliminary results for subsonic cavity flow control using a reduced-order model based feedback derived from experimental measurements.The was developed the Proper Orthogonal Decomposition of PIV images in conjunction with Galerkin projection Navier-Stokes equations onto resulting spatial eigenfunctions.A linear-quadratic optimal controller designed to reduce resonance by controlling time coefficient and tested experiments.The stochastic estimation method used...
In this paper we discuss feedback controller design issues for active control of shallow cavity flows. Linear controllers, such as H ∞ , PID, and Smith predictor based controllers are designed tested experimentally. The ineffectiveness using fixed linear models in the flows is demonstrated via experimental results. order to better address problem, process developing a nonlinear model flow dynamics Proper Orthogonal Decomposition (POD). We briefly related class systems involving type plants.
This paper studies the event-triggering leader-follower consensus with strictly dissipative performance for nonlinear multi-agent systems (MASs) semi-Markov changing topologies. First, a polynomial fuzzy model is established to describe error system that formed by one virtual leader and followers. Then, new transmission strategy proposed mitigate communication computational load. By utilizing mechanism modeling switching topologies process, sampled-data based protocol designed. Compared...
Traditional flow control systems are hard to reach the goal of high-precision and high-speed due volatility, nonlinearity large disturbance flow. To solve problem, a real-time system based on fuzzy PID was designed in paper, which used ID3 algorithm decision tree calculate information gain select best formulate rules. The design selects Siemens PLC as core, combining with electromagnetic Flow Meter, Regulating Valve Human Machine Interface. Finally, results simulation experiments this method...
A model predictive control (MPC) is proposed for the piecewise affine (PWA) systems with constrained input and time delay. The corresponding operating region of considered in state space described as ellipsoid which can be characterized by a set vector inequalities. And solved terms linear matrix inequalities (LMIs). An MPC controller designed that will move PWA system delay from current point to desired one. Multiple objective functions are used relax monotonically decreasing condition...
Methane （CH