A5012033018- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Reliability and Maintenance Optimization
- Control Systems and Identification
- Microbial Metabolic Engineering and Bioproduction
- Software Reliability and Analysis Research
- Risk and Safety Analysis
- Power Systems and Renewable Energy
- Infrastructure Resilience and Vulnerability Analysis
- Life Cycle Costing Analysis
- Simulation and Modeling Applications
- Power System Reliability and Maintenance
- Urban Transport and Accessibility
- High-Voltage Power Transmission Systems
- Advanced Battery Technologies Research
- Magnetic Bearings and Levitation Dynamics
- Railway Engineering and Dynamics
- Machine Fault Diagnosis Techniques
- Wind Energy Research and Development
- Process Optimization and Integration
- Power Systems and Technologies
- Physics of Superconductivity and Magnetism
- Advanced Control Systems Design
- Probabilistic and Robust Engineering Design
- Energy Load and Power Forecasting
Beihang University
2023-2024
Zhengzhou University
2022-2023
Southwest Jiaotong University
2008-2010
Georgia Institute of Technology
1999-2004
Koç University
2004
Air Products (United States)
2001
New Type Urbanization (NTU) and Low Carbon Development (LCD) are the two major issues for Chinese cities to achieve their sustainable development goals. It is crucial recognize coupling relationship between NTU LCD. Existing studies on this mainly focus measuring LCD performance through carbon emissions, while neglecting coordination different dimensions of To address these gaps, an enhanced method proposed in study measure dimensional A comprehensive indicator evaluation system constructed...
The dynamic measurement of high temperature superconducting (HTS) magnetic levitation (Maglev) vehicle is a very important and difficult problem. In order to investigate the characteristics behavior HTS Maglev, an Maglev system (SCML-03) was successfully developed in Applied Superconductivity Laboratory (ASCLab) Southwest Jiaotong University, P. R. China. mainly constituted by circular permanent magnet guideway (PMG), liquid nitrogen vessel, data acquisition processing, mechanical drive,...
We (1999, 2000) have introduced a model predictive control (MPC) algorithm for polytopic linear parameter varying systems. The algorithm, called quasi-min-max MPC, separates the first stage cost from infinite horizon quadratic objective function and bounds rest of by term. For predictions future state matrices are assumed to belong fixed polytope. In this paper it is that upper lower on rate change parameters available. This allows updating polytope one time step in consequently second can...
Presents a scheduling model predictive controller for constrained discrete linear parameter variable (LPV) systems. At each sampling time the parameters of LPV plant are measured and their future values assumed to vary arbitrarily inside specified polytope. Given this information along with current state algorithm minimizes online an upper bound on quasi-worst case infinite horizon objective function subject input output constraints. The first computed is implemented calculations repeated at...
The maintenance and upkeep costs of wind farms their internal turbines have been increasing annually. Therefore, a systematic evaluation operating status is great importance in guiding reductions costs. In this aspect, article proposes three-level service quality index system “key component–wind turbine–wind farm” based on the fuzzy comprehensive method. Firstly, raw data farm are preprocessed to avoid impact abnormal results. Then, types classified degradation degree each indicator...
Scheduling quasi-min−max model predictive control is an MPC algorithm to nonlinear systems. In this paper, real-time application of the scheduling a bench-scale pH neutralization reactor presented. The performance compared with multilinear model-based and IMC−PID controller.
This article has been retracted by the publisher.
In this paper, a model predictive control algorithm, scheduling quasi-min-max MPC is designed for nonlinear systems. Combination of linear with parameter varying approximates the behavior. The expresses current dynamics, and covers future "quasi worst case" value infinite horizon objective function minimized. Closed-loop stability guaranteed when algorithm implemented in receding fashion by including Lyapunov constraint formulation. proposed approach applied to jacketed styrene...
In order to analyze the causes of problem students in colleges and universities emergence early warning students, put forward corresponding transformation strategies, considering four dimensions physique, academic, social psychological that are prone problems, a questionnaire was set up by using seven level scoring method Psychology investigate some general public university. Using k-means clustering analysis combined with user portrait label students. Taking survey academic dimension as an...