丁宝苍 - 西安交通大学 - 电子与信息工程学院

个人简介

博士，教授，博士生导师，教育部新世纪优秀人才支持计划入选者。1992年7月到1997年8月在石家庄化肥厂己内酰铵工程筹建处、河北北方化学工业公司、石家庄化纤有限责任公司工作。2003年10月到2007年8月在河北工业大学工作，任副教授。2005年9月到2006年9月在加拿大University of Alberta作Postdoctoral Fellow；2006年11月到2007年8月在新加坡南洋理工大学作Research Fellow。2007年9月在重庆大学聘教授。2009年1月到西安交通大学工作。

研究领域

鲁棒与预测控制、网络化与分布式控制理论、模糊控制、工业生产过程的模型化与优化控制

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] Ding Bao-cang, Xi Yu-geng, Cychowski MT and O’Mahony T. Improving off-line approach to robust MPC based-on nominal performance cost. Automatica, 2007, Vol. 43, No. 1, pp. 158~163. [2] Ding Bao-cang, Huang Biao. Comments on “A Feedback Min-Max MPC Algorithm for LPV Systems Subject to Bounded Rates of Change of Parameters”. IEEE Transactions on Automatic Control, 2007, Vol. 52, No. 5, p. 970. [3] Ding Bao-cang, Huang Biao. Constrained robust model predictive control for time-delay systems with polytopic description. International Journal of Control, 2007, Vol. 80, No. 4, pp. 509~522. [4] Ding Bao-cang, Julia H. Tang. Constrained linear time-varying quadratic regulation with guaranteed optimality. International Journal of Systems Science, 2007, Vol. 38, No. 2, pp. 115~124. [5] Ding Bao-cang, Huang Biao. Output feedback model predictive control for nonlinear systems represented by Hammerstein-Wiener model. IET Control Theory & Applications, 2007, Vol. 1, No. 5, pp. 1302-1310. [6] Ding Bao-cang, Huang Biao. New formulation of robust MPC by incorporating off-line approach with on-line optimization. International Journal of Systems Science, 2007, Vol. 38, No. 6, pp. 519~529. [7] Ding Bao-cang, Xi Yu-geng, Cychowski MT and O’Mahony T. A synthesis approach of output feedback robust constrained model predictive control. Automatica, 2008, Vol. 44, No. 1, pp. 258~264. [8] Ding Bao-cang, Huang Biao. Reformulation of LMI-based stabilisation conditions for non-linear systems in Takagi-Sugeno’s form. International Journal of Systems Science, 2008, Vol. 39, No. 5, pp. 487-496. [9] Ding Bao-cang, Xie Li-hua, Cai Wen-jian. Robust MPC for polytopic uncertain systems with time-varying delays. International Journal of Control, 2008, Vol. 81, No. 8, pp. 1239-1252. [10] Ding Bao-cang. Poly-quadratic stability of discrete-time nonlinear systems in Takagi-Sugeno’s form. Asian Journal of Control, 2009, Vol. 11, No.6, pp. 610-619. [11] Ding Bao-cang. Quadratic Boundedness via Dynamic Output Feedback for Constrained Nonlinear Systems in Takagi-Sugeno's Form. Automatica, 2009, Vol. 45, No. 9, pp. 2093-2098. [12] Ding Bao-cang. Properties of parameter-dependent open-loop MPC for uncertain systems with polytopic description. Asian Journal of Control, 2010, Vol. 12, No.1, pp. 58-70. [13] Ding Bao-cang. Homogeneous polynomially nonquadratic stabilization of discrete-time Takagi-Sugeno systems via non-parallel distributed compensation law. IEEE Transactions on Fuzzy Systems, 2010, Vol. 18, No. 5, pp. 994-1000. [14] Ding Bao-cang. Constrained robust model predictive control via parameter-dependent dynamic output feedback. Automatica, 2010, Vol. 46, No. 9, pp. 1517-1523. [15] Ding Bao-cang. Stabilization of Takagi-Sugeno model via nonparallel distributed compensation law. IEEE Transactions on Fuzzy Systems, 2010, Vol. 18, No. 1, pp. 188-194. [16] Ding Bao-cang, Xie Li-hua, Cai Wen-jian. Distributed model predictive control for constrained linear systems. International Journal of Robust and Nonlinear Control, July 2010, Vol. 20, No. 11, pp. 1285-1298. [17] Ding Bao-cang. Improving the asymptotically necessary and sufficient conditions for stability of fuzzy control. Fuzzy Sets and Systems, 2010, Vol. 161, No. 21, pp. 2793-2794. [18] Ding Bao-cang. Robust model predictive control for multiple time delay systems with polytopic uncertainty description. International Journal of Control, 2010, Vol. 83, No. 9, pp. 1844-1857. [19] Ding Bao-cang, Huang Biao, Xu Fang-wei. Dynamic output feedback robust model predictive control. International Journal of Systems Science, 2011, Vol. 42, No. 10, pp. 1669-1682. [20] Ding Bao-cang. Comments on “Constrained Infinite-Horizon Model Predictive Control for Fuzzy-Discrete-Time Systems”. IEEE Transactions on Fuzzy Systems, 2011, Vol. 19, No. 3, pp. 598-600.