A5101881725- Power System Optimization and Stability
- Service-Oriented Architecture and Web Services
- Power Systems and Renewable Energy
- Bacillus and Francisella bacterial research
- Advanced Software Engineering Methodologies
- Sarcoidosis and Beryllium Toxicity Research
- Vehicle Dynamics and Control Systems
- Vibration Control and Rheological Fluids
- Adaptive Control of Nonlinear Systems
- Hydraulic and Pneumatic Systems
- Neural Networks and Applications
- Microgrid Control and Optimization
- Guidance and Control Systems
- HVDC Systems and Fault Protection
- Bacterial biofilms and quorum sensing
- Real-time simulation and control systems
- RNA Interference and Gene Delivery
- Peer-to-Peer Network Technologies
- Advanced Sensor and Control Systems
- Extremum Seeking Control Systems
- Advanced Algorithms and Applications
- RNA and protein synthesis mechanisms
- Frequency Control in Power Systems
- Magnetic Bearings and Levitation Dynamics
- Advanced biosensing and bioanalysis techniques
Chinese Academy of Sciences
2024-2025
University of Chinese Academy of Sciences
2024-2025
Zhejiang Cancer Hospital
2025
Sichuan Agricultural University
2024
Jiangnan University
2024
East China Jiaotong University
2021-2022
South China University of Technology
2016-2021
Southeast University
2014-2018
Jilin University
2018
Yangtze University
2012
A neural network (NN) based regulator for nonlinear, multivariable turbogenerator control is presented. hierarchical architecture of an NN proposed design, consisting two subnetworks which are used input-output (I-O) mapping and control, respectively, on the back-propagation (BP) algorithm. The has flexibility accepting more sensory information to cater multi-input, multioutput systems. Its operation does not require a reference model or inverse system it can produce acceptable signals than...
Antisense oligonucleotides (ASOs) and small interfering RNA (siRNA) therapeutics highlight the power of in silencing disease-causing messenger RNAs (mRNAs). Another promising class gene-silencing is RNA-cleaving nucleic acid enzymes, which offer potential for allele-specific inhibition with greater precision than ASOs siRNAs. Herein, we chemically evolved nucleolytic DNA enzyme (DNAzyme) 10-23, by incorporating modifications that are essential to success ASO drugs, including 2'-fluoro,...
Service-oriented architecture is a widely used software engineering paradigm to cope with complexity and dynamics in enterprise applications. Service composition, which provides cost-effective way implement systems, has attracted significant attention from both industry research communities. As online services may keep evolving over time thus lead highly dynamic environment, service composition must be self-adaptive tackle uninformed behavior during the evolution of services. In addition,...
Chloroplasts are key players in photosynthesis and immunity against microbial pathogens. However, the precise timely regulatory mechanisms governing control of photosynthesis-associated nuclear genes (PhANGs) expression plant remain largely unknown. Here we report that TaPIR1, a Pst-induced RING-finger E3 ubiquitin ligase, negatively regulates Pst resistance by specifically interacting with TaHRP1, an atypical transcription factor histidine-rich protein. TaPIR1 ubiquitinates lysine residues...
In the era of big data, data intensive applications have posed new challenges to filed service composition, i.e. composition efficiency and scalability. How compose massive evolving services in such dynamic scenarios is a vital problem demanding prompt solutions. As consequence, we propose model for large-scale adaptive this paper. This integrates knowledge reinforcement learning aiming at adaptability highly-dynamic environment game theory used coordinate agents' behavior common task....
Despite the well-established significance of transcription factors (TFs) in pathogenesis, their utilization as pharmacological targets has been limited by inherent challenges associated with modulating protein-protein and protein-DNA interactions. The lack defined small-molecule binding pockets nuclear localization TFs do not favor use inhibitors, or neutral antibodies, blocking TF Aptamers are short oligonucleotides exhibiting high affinity specificity for a diverse range targets. Large...
The paper is concerned with an application of a self-tuning control strategy to synchronous generator system. In the stochastic strategy, auxiliary predictor introduced and variance between actual output system desired track directly predicted, restrain excessive signals improve performance also proposes new supervision scheme for robust regulator, which includes modification covariance matrix in estimation algorithm, moving boundaries imposed on parameter values, turning or off algorithm...
The paper describes the derivation, design and evaluation of a parameter-adaptive integrated controller for turbogenerator. control strategy is to minimise variances between outputs turbogenerator linear optimal predictor under all operating conditions. based on an autoregressive moving-average model, does not require any information about parameters A nonlinear feedback approach achieved by simple recursive algorithm, which can be implemented as online real-time computer scheme without...
The paper describes the derivation, design and evaluation of a parameter-adaptive integrated controller for turbogenerator. control strategy is to minimise variances between outputs turbogenerator linear optimal predictor under all operating conditions. based on an autoregressive moving-average model, does not require any information about parameters A nonlinear feedback approach achieved by simple recursive algorithm, which can be implemented as online real-time computer scheme without...
Based on a nonlinear two-degree-of-freedom model of active suspension systems, an approach the sliding mode control with disturbance observer combining skyhook is proposed for improving performance and effectiveness validated by system plant. Two problems systems are solved using when tire excited step displacement. One problem that deflection i.e. difference between sprung mass displacement unsprung displacement, conventional not converges to zero in finite time, phenomenon impact against...
The fuzzy set theory for optimal control design of underactuated dynamical systems with uncertainty is proposed. (possibly fast) time varying whose bound unknown and lies in a prescribed expressed by set. Control goals uncertain are formulated as series constraints, which may be holonomic nonholonomic. From the view constraint-following control, we an adaptive robust based on creative decomposition, divides into matched mismatched terms. This decomposition renders term to “disappear”...
The application of self-tuning automatic voltage regulators to generators in a multi-machine power system is described. have supervision schemes which ensure effective operation under all conditions. performance the regulator has been evaluated using detailed model. Results are presented show that provides good control environment, when operating conjunction with conventional on other generators. A comparison shows self-tuner gives better performance.
This paper developed a new method to make load models alongside the distribution network reduction and estimate parameters of for network. The proposed uses an intelligent learning technique. A comprehensive area model is population diversity based genetic algorithm used model. Simulation results on 5-bus power system IEEE 30-bus are given show potential method.
This paper proposes a robust bang-bang controller (RBC) based on the high-gain nonlinear observer for system with intermittent disturbances. The disturbances are able to model faults and sudden changes of operating conditions practical systems. A constant funnel (BCFC) is employed, largest control capabilities explored stabilize against BCFC functions estimates tracking error target its derivatives estimated state observer, which eliminates requirement derivative calculations output error....
Concerns the on-line evaluation of an auto-tuning optimal PID automatic voltage regulator for a synchronous generator. The design is performed directly on non-linear laboratory model turbogenerator, using optimization techniques, and control strategy combines regulation with functions power system stabilizer. stabilizing signal parameters are optimized in real time, search procedure, linear quadratic performance index, only impulse responses required. Appropriate hardward software systems...
The design and testing of an optimal PID automatic voltage regulator for synchronous machines is treated. proposed digital combines regulation with the function a power system stabilizer. stabilizing signal parameters are optimized based on linear quadratic performance index using Simplex method. achieved directly without linearised mathematical model, only impulse responses required during optimization procedure. microcomputer-based filters has been tested laboratory model turbogenerator...
In China, Three oil companies use all sorts of beam pumping units, but the operation balancing adjustment is labor-intensive, low efficiency and accuracy in general. Many engineers try to improve these, so they design various kinds devices adjust balance however, intelligent level most installation maintenance complicated security not high. this design, unit technology for theoretical support, combined with mechanical electrical system, an device designed. The experiment shows that after...
Abstract：Based on the nonlinear model of two degrees freedom (2DOF), sliding mode control (SMC) algorithm based reference sky-hook for active suspension system is proposed.The effectiveness applied in 2DOF validated by plant.In and suspension, displacement velocity sprung mass assumed to be equal using force.The calculation method force developed SMC model.Through measured acceleration with SMC, calculated verified.The selecting damping coefficient influence selected parameters controlling...