Search Results - "Dazi Li"

Maximum power efficiency operation and generalized predictive control of PEM (proton exchange membrane) fuel cell by Li, Dazi, Yu, Yadi, Jin, Qibing, Gao, Zhiqiang

“…Operating a proton exchange membrane fuel cell (PEMFC) system to produce power at the maximum power efficiency is one of the key issues in PEMFC's wide-spread…”
Get full text

Study on Asymptotic Stability of Fractional Singular Systems with Time Delay by Li, Dazi, Wei, Liming, Song, Tianheng, Jin, Qibing

“…The stability of fractional singular systems with time delay is discussed. Considering the singularity of the system, a system is decomposed into two…”
Get full text

Kernel-Based Least Squares Temporal Difference With Gradient Correction by Tianheng Song, Dazi Li, Liulin Cao, Hirasawa, Kotaro

“…A least squares temporal difference with gradient correction (LS-TDC) algorithm and its kernel-based version kernel-based LS-TDC (KLS-TDC) are proposed as…”
Get full text

Fractional Order IMC Controller Design for Two-input-two-output Fractional Order System by Li, Dazi, He, Xingyu, Song, Tianheng, Jin, Qibing

“…Research on the fractional order system is becoming more and more popular. Most of the fractional order controller design methods focus on…”
Get full text

An Improved Machine Learning‐Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable‐Integrated Microgrids by Channa, Irfan Ali, Li, Dazi, Koondhar, Mohsin Ali, Dahri, Fida Hussain, Mahariq, Ibrahim

“…Recently, renewable energy sources integrated with microgrid (MG) networks have provided safe, secure, and reliable power supply to both utility and industrial…”
Get full text

Physical Graph-Based Spatiotemporal Fusion Approach for Process Fault Diagnosis by Zhang, Fengzhen, Jin, Qibing, Li, Dazi, Zhang, Yang, Zhu, Qian

“…The rapid development of big data technology and machine learning has increasingly focused attention on fault diagnosis in complex chemical processes. However,…”
Get full text

Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning by Song, Tianheng, Li, Dazi, Liu, Zhiyin, Yang, Weimin

“…Sparse learning is an efficient technique for feature selection and avoiding overfitting in machine learning research areas. Considering sparse learning for…”
Get full text

Closed-loop identification of systems using hybrid Box-Jenkins structure and its application to PID tuning by Li, Quanshan, Li, Dazi, Cao, Liulin

“…The paper describes a closed-loop system identification procedure for hybrid continuous-time Box–Jenkins models and demonstrates how it can be used for IMC…”
Get full text

Accelerating the design and development of polymeric materials via deep learning: Current status and future challenges by Li, Dazi, Ru, Yi, Chen, Zhudan, Dong, Caibo, Dong, Yining, Liu, Jun

“…The design and development of polymeric materials have been a hot domain for decades. However, traditional experiments and molecular simulations are…”
Get full text

An Adaptive Policy Evaluation Network Based on Recursive Least Squares Temporal Difference With Gradient Correction by Li, Dazi, Wang, Yuting, Song, Tianheng, Jin, Qibing

“…Reinforcement learning (RL) is an important machine learning paradigm that can be used for learning from the data obtained by the human-computer interface and…”
Get full text

Learning control of fermentation process with an improved DHP algorithm by Li, Dazi, Meng, Ningjia, Song, Tianheng

“…Control of the fed-batch ethanol fermentation processes to produce maximum product ethanol is one of the key issues in the bioreactor system. However, ethanol…”
Get full text

Dynamic extreme learning machine identification for nonlinear system with long time delay by Dazi Li, Tianjiao Kang, Jinglin Zhou, Qibing Jin

“…In this paper, a new method is presented for identification of single-input single-output (SISO) nonlinear systems with long time delay. The proposed dynamic…”
Get full text

A new numerical approach based on piecewise interpolation for solving a class of fractional optimal control problems by Li, Dazi, Tian, Xiangyi, Ji, Zenghao

“…This paper presents a numerical approach based on piecewise interpolation for solving a class of fractional optimal control problems (FOCPs). The fractional…”
Get full text

Active disturbance rejection control with adaptive delayed input and its performance monitoring for time-varying delay system by Li, Dazi, Yu, WenLong, Zhou, Jinlin, Jin, Qibing

“…Active disturbance rejection control (ADRC) shows significant performance on time delay, nonlinearity and uncertainty phenomenon in industrial processes…”
Get full text

Fractional modeling of heating process using improved NLJ algorithm by Li, Dazi, Lu, Ting, Liu, Lang, Jin, Qibing

“…Temperature control of heating systems is difficult due to imprecise plant model, larger external disturbance and uncertainties associated with heat transfer…”
Get full text

Bioinspired actor-critic algorithm for reinforcement learning interpretation with Levy–Brown hybrid exploration strategy by Wang, Xiao, Li, Dazi

“…Currently, reinforcement learning, the interpretability of the algorithm is a challenge. The lack of interpretability limits the use of reinforcement learning…”
Get full text

Adaptive Evolutionary Reinforcement Learning with Policy Direction by Dong, Caibo, Li, Dazi

“…Evolutionary Reinforcement Learning (ERL) has garnered widespread attention in recent years due to its inherent robustness and parallelism. However, the…”
Get full text

Glass Transition Temperature Prediction of Polymers via Graph Reinforcement Learning by Dong, Caibo, Li, Dazi, Liu, Jun

“…An expansive array of graph-based models has been utilized for accurate prediction of the structure–property relation of polymers. However, these approaches…”
Get full text

Adaptive generative adversarial maximum entropy inverse reinforcement learning by Song, Li, Li, Dazi, Xu, Xin

Get full text

Learning-Based Predictive Control for Discrete-Time Nonlinear Systems With Stochastic Disturbances by Xu, Xin, Chen, Hong, Lian, Chuanqiang, Li, Dazi

“…In this paper, a learning-based predictive control (LPC) scheme is proposed for adaptive optimal control of discrete-time nonlinear systems under stochastic…”
Get full text