A discussion of the control of nonferrous metallurgical processes
暂无分享,去创建一个
Chunhua Yang | Bei Sun | Weihua Gui | W. Gui | Chunhua Yang | Bei Sun
[1] Theodora Kourti,et al. Process analysis, monitoring and diagnosis, using multivariate projection methods , 1995 .
[2] Sigurd Skogestad. Plantwide control: the search for the self-optimizing control structure , 2000 .
[3] P.J. King,et al. The application of fuzzy control systems to industrial processes , 1977, Autom..
[4] Marianthi G. Ierapetritou,et al. Optimal design of sustainable chemical processes and supply chains: A review , 2012, Comput. Chem. Eng..
[5] Tore Hägglund,et al. The future of PID control , 2000 .
[6] Jing Zhou,et al. Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance , 2011, IEEE Transactions on Automatic Control.
[7] Lorenz T. Biegler,et al. Simultaneous dynamic optimization strategies: Recent advances and challenges , 2006, Comput. Chem. Eng..
[8] Theodora Kourti,et al. Statistical Process Control of Multivariate Processes , 1994 .
[9] A.G. Alleyne,et al. A survey of iterative learning control , 2006, IEEE Control Systems.
[10] Tianyou Chai. Optimal Operational Control for Complex Industrial Processes , 2012 .
[11] Soumitra Dutta,et al. Case-Based Reasoning Systems: From Automation to Decision-Aiding and Simulation , 1997, IEEE Trans. Knowl. Data Eng..
[12] Karl-Erik Årzén,et al. Expert control , 1986, at - Automatisierungstechnik.
[13] Bjarne A. Foss,et al. A field study of the industrial modeling process , 1998 .
[14] C. Kravaris,et al. Geometric methods for nonlinear process control. 1. Background , 1990 .
[15] Weihua Gui,et al. Modeling and optimal-setting control of blending process in a metallurgical industry , 2009, Comput. Chem. Eng..
[16] Michael Nikolaou,et al. RTO: An overview and assessment of current practice , 2011 .
[17] S. Kim,et al. Estimation methods for efficiency of additive in removing impurity in hydrometallurgical purification process , 2007 .
[18] Weihua Gui,et al. A gradient optimization scheme for solution purification process , 2015 .
[19] E. L. Lima,et al. Control strategies for complex chemical processes. Applications in polymerization processes , 2003, Comput. Chem. Eng..
[20] Bogdan Gabrys,et al. Data-driven Soft Sensors in the process industry , 2009, Comput. Chem. Eng..
[21] Chunhua Yang,et al. Intelligent optimal setting control of a cobalt removal process , 2014 .
[22] Weihua Gui,et al. An optimal power-dispatching system using neural networks for the electrochemical process of zinc depending on varying prices of electricity , 2002, IEEE Trans. Neural Networks.
[23] Biao Huang. Bayesian methods for control loop monitoring and diagnosis , 2008 .
[24] Kok Lay Teo,et al. Optimal control problems arising in the zinc sulphate electrolyte purification process , 2012, J. Glob. Optim..
[25] Weihua Gui,et al. An integrated prediction model of cobalt ion concentration based on oxidation-reduction potential , 2013 .
[26] Weihua Gui,et al. Modeling and Optimization Problems and Challenges Arising in Nonferrous Metallurgical Processes , 2013 .
[27] Jay H. Lee,et al. Energy supply planning and supply chain optimization under uncertainty , 2014 .
[28] Fabiola Angulo,et al. A robust adaptive controller for an anaerobic digester with saturated input: Guarantees for the boundedness and convergence properties , 2012 .
[29] Daniel Hodouin,et al. Methods for automatic control, observation, and optimization in mineral processing plants , 2011 .
[30] S. Joe Qin,et al. A survey of industrial model predictive control technology , 2003 .