赵超
近期热点
资料介绍
近期论文
1. Chao Zhao, DongGuo VU, Pu Li, A quasi-sequential parameter estimation for nonlinear dynamicsystems based on multiple data profiles , Korean Journal of Chemical Engineering , 2013,DOI:10.1007/s11814-012-0158-1.2. Chao Zhao, Qiaoling Xu, Siming Lin, hybrid differential evolution for estimation of kineticparameters for biochemical systems, Chinese Journal of Chemical Engineering 2013:21(2) 443-449.3. Chao Zhao, Qiaoling Xu, anmin An, Application of the Parallel Adaptive Genetic SimulatedAnnealing Algorithm for the synthesis of heat exchanger networks, ASIA-PACIFIC JOURNAL OFCHEMICAL ENGINEERING,2012,10:1622-1631.4. Zhao, C., Zhao, Y, Su, H. Y., Biao, H. Economic performance assessment of advanced processcontrol with LQG benchmarking. Journal of process control, 2009,19 (4): 557-569.5. Zhao C., Su, H. Y., Yu, G., Jian, C. A Pragmatic Approach for Assessing the Economic Performanceof MPC Systems and its Industrial Application”, Chinese Journal of Chemical Engineering, 2009, 17 (2):241-250.6. 赵超,张登峰.基于加权偏离度统计方法的预测控制性能评估算法,化工学报,2012;12:3971-3977.7. 赵超,张登峰. 基于LQG 性能基准的预测控制经济性能评估算法,计算机与应用化学.2012;10:1253-1258.8. 赵超,张登峰. 基于不确定规划的预测控制系统经济性能评估算法,计算机与应用化学.2012;9:1143-1149.9 Zhao, C., Zhao, Y, Su, H. Y., Biao, LQG Benchmarking for Economic Control PerformanceAssessment, American Control Conference 2008, June, 12-14, 2008, USA. 3406-346510 Zhao, C., Xu, Q. L. Economic performance assessment of process control: A probabilistic approach.Accepted by 2011 4th International Symposium on Advanced Control of Industrial Processes, Hangzhou,China, May 23-26.11 Zhao, C., Xu, Q. L. Data-driven LQG Benchmaking for Economic Performance Assessment ofAdvanced Process Control Systems. Accepted by 2011 American control conference, USA, San Francisco,CA, Jun 29-Jul 1.12. Dengfeng Zhang, Yu Zhao, Chao Zhao, Hongye Su, 一类变时延时变过程的控制方差性能估,Journal of Control theory and application, 2009, 26(9): 1041-1046.13. 安爱民,郝晓红,张爱华,赵超,监督交通量变化的多模型自适应交通信号灯控制,控制理论与应用,2012,12:1655-1660.14. Yu Zhao, Chao Zhao, Hongye Su, Jian Chu, Dengfeng Zhang, “Multivariable Control PerformanceAssessment Based On Generalized Minimum Variance Benchmark”, 48th IEEE Conference on Decision andControl. 相关热点