A5101580520- Advanced Algorithms and Applications
- Neural Networks and Applications
- Adaptive Control of Nonlinear Systems
- Control Systems and Identification
- Advanced Sensor and Control Systems
- Fault Detection and Control Systems
- Advanced Control Systems Design
- Mathematical and Theoretical Epidemiology and Ecology Models
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Advanced Control Systems Optimization
- Industrial Technology and Control Systems
- Image and Signal Denoising Methods
- Structural Health Monitoring Techniques
- Mathematical Biology Tumor Growth
- Bioinformatics and Genomic Networks
- Genetic Mapping and Diversity in Plants and Animals
- Fuzzy Logic and Control Systems
- Power Systems and Renewable Energy
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Evolution and Genetic Dynamics
- Gene expression and cancer classification
- Microgrid Control and Optimization
- Animal Ecology and Behavior Studies
Shanghai Electric (China)
2024
Zhejiang Financial College
2017
Northwestern University
2013
China National Petroleum Corporation (China)
2013
Waseda University
2009-2012
<title>Abstract</title> Mosquitoes serve as the primary vectors for several life-threatening pathogens, including malaria, dengue fever, and Zika virus. To effectively control transmission of these diseases, a variety integrated vector management strategies are currently employed to reduce mosquito population densities. This paper focuses on sterile insect technique (SIT) incompatible (IIT), which involves release male mosquitoes suppress wild populations, delves into impact different...
The various kinds of booming social media not only provide a platform where people can communicate with each other, but also spread useful domain information, such as career and job market information. For example, LinkedIn publishes large amount messages either about who want to seek jobs or companies recruit new members. By collecting we have better understanding the insights job-seekers, even decision makers. In this paper, analyze information from network point view. We first collect...
In this paper, quasi-ARX wavelet network (Q-ARX-WN) is proposed for nonlinear system identification. There are mainly two contributions clarified. Firstly, compared with conventional networks (WNs), it equipped a linear structure, where WN incorporated to interpret parameters of the ARX thus Q-ARX-WN prediction model could be constructed and easy-to-use in control. Secondly, guidelines construction well considered due introduction WNs, represented linear-in-parameter way. Therefore, support...
We investigate a class of emerging online marketing challenges in social networks; macro behavioral targeting (MBT) is introduced as non-personalized broadcasting efforts to massive populations. propose new probabilistic graphical model for MBT. Further, linear-time approximation method proposed circumvent an intractable parametric representation user behaviors. compare the with existing state-of-the-art on real datasets from networks. Our outperforms all categories by comfortable margins.
Abstract In this paper, a fuzzy switching adaptive control approach is presented for nonlinear systems. The proposed law composed of quasi‐ARX radial basis function network (RBFN) prediction model and mechanism. RBFN consists two parts: linear part used controller to ensure boundedness the input output signals; an improve accuracy. By using scheme between controllers replace 0/1 switching, it can realize better balance stability Theoretical analysis simulation results show effectiveness...
Abstract Polynomial NARX (nonlinear autoregressive with exogenous) model identification has received considerable attention in last three decades. However, a high‐order nonlinear system, it is very difficult to obtain the structure directly even state‐of‐art algorithms, because number of candidate monomial terms huge and increases drastically as order increases. Motivated by this fact, research, performed two steps: firstly prescreening process carried out select reasonable important based...
This paper presents a novel approach for designing adaptive controller of nonlinear dynamical systems based on an improved quasi-ARX neural network prediction model. The model has two parts: the linear part is used stability and to satisfy accuracy requirement. Then, we can obtain characteristic A fuzzy switching algorithm designed between controllers. Theory analysis simulations are given show effectiveness proposed method both accuracy.
Quasi-linear autoregressive with exogenous inputs (Quasi-ARX) models have received considerable attention for their usefulness in nonlinear system identification and control. In this paper, methods of quasi-ARX type are reviewed categorized three main groups, a two-step learning approach is proposed as an extension the parameter-classified to identify radial basis function network (RBFN) model. Firstly, clustering method utilized provide statistical properties dataset determining parameters...
When a linear model is used for controlling nonlinear systems solely, it can't satisfy accuracy requirement. Whereas, although neural network can deal with the problem, may lead to instability. In this paper, an adaptive controller proposed dynamical based on and quasi-ARX model. A switching algorithm designed between models. Theory analysis simulations are given show effectiveness of method both stability accuracy.
This paper proposes a multiinput and multioutput (MIMO) quasi‐autoregressive eXogenous (ARX) model multivariable‐decoupling proportional integral differential (PID) controller for MIMO nonlinear systems based on the proposed model. The quasi‐ARX improves performance of ordinary consists traditional PID with decoupling compensator feed‐forward dynamics Then an adaptive control algorithm is presented using radial basis function network (RBFN) prediction some stability analysis system shown....
A two-step identification method for nonlinear polynomial model using Evolutionary Algorithm (EA) is proposed in this paper, and the has ability to select a parsimonious structure from very large pool of terms. In model, number candidate monomial terms increases drastically as order increases, it impossible obtain accurate directly even with state-of-art algorithms. The firstly carries out pre-screening process reasonable important based on importance index. next step, EA applied determine...
Nonlinearity of return spring and friction makes the response characteristics electronic throttle valve difficult to be promoted. In mainly consideration calls for rate dynamic error, we designed controller which adopting feed-forward control (FFC) self-tuning fuzzy-PID as feed-back (FBC) , a simplified model is also used decrease computation time. As test controller, off-line simulation Rapid Control Prototyping (RCP) technique are both taken. Via substantial measurements continuous...
In this paper, by combining PID control with non-linear controland anthropomorphic intelligence, a novel intelligent PIDcontroller is proposed, and its structure algorithm arepresented in detail.