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Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 4, 页码: 534-542
Authors:  Sui, Shuai;  Chen, C. L. Philip
Favorite  |  View/Download:3/0  |  Submit date:2019/07/12
chemical reactors  stochastic systems  control system synthesis  feedback  differential equations  adaptive control  uncertain systems  observers  stochastic processes  nonlinear control systems  stability  fuzzy control  control nonlinearities  probability  adaptive output-feedback finite-time stabilisation  two-stage chemical reactor  uncertain stochastic nonlinear system  unmeasured system variables  fuzzy logic systems  fuzzy state observer  stochastic differential equation  adaptive backstepping intelligent control  two-stage continuous stirred tank reactor process  controller design  single-input single-output system  SISO  probability  
Integrated modeling of coking flue gas indices based on mechanism model and improved neural network 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 卷号: 41, 期号: 1, 页码: 85-96
Authors:  Li, Yaning;  Wang, Xuelei;  Tan, Jie
Favorite  |  View/Download:6/0  |  Submit date:2019/07/12
Coking  process control  neural network (NN)  mechanism model  integrated modeling  
Online reinforcement learning control by Bayesian inference 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1331-1338
Authors:  Xia, Zhongpu;  Zhao, Dongbin;  Dongbin Zhao
View  |  Adobe PDF(1559Kb)  |  Favorite  |  View/Download:108/41  |  Submit date:2016/06/15
Learning Systems  Bayes Methods  Gaussian Processes  Optimal Control  Online Reinforcement Learning Control  Bayesian Inference  Self-learning Control  Probability  Action Value Function  Gaussian Process  Bayesian-state-action-reward-state-action Algorithm  
3D打印技术过程控制问题研究进展 期刊论文
自动化学报, 2016, 卷号: 42, 期号: 7, 页码: 983-1003
Authors:  李轩;  莫红;  李双双;  王飞跃
View  |  Adobe PDF(3077Kb)  |  Favorite  |  View/Download:73/13  |  Submit date:2017/07/15
D打印 增材制造 控制系统 产业化进程  3d Printing Technique  Add Manufacturing Technology  Control System  The Process Of Industrialization  
A proposal of SIRMs dynamically connected fuzzy inference model for plural input fuzzy control 期刊论文
FUZZY SETS AND SYSTEMS, 2002, 卷号: 125, 期号: 1, 页码: 79-92
Authors:  Yi, JQ;  Yubazaki, N;  Hirota, K
Adobe PDF(234Kb)  |  Favorite  |  View/Download:64/22  |  Submit date:2015/11/08
Dynamic Importance Degree  Fuzzy Control  Fuzzy Inference Model  Pendulum  Process Control  Sirm