[1]C. Shao,. Gao,Y. Yang,Robust stability of optimal iterative learning control and application to injection molding machine,ACTA Automatica Sinica,29⑴,2003,.[2]. Zhang,D. Jin,C. Shao,Fuzzy Neural Network’s Application in Furnace Temperature Compensation Based on Rolling Information Feedback. Preprints of 16th IFAC World Congress,Prague,July 4-8,2005,Topic: Mining,Mineral & Metal Process.[3]Y. Li,C. Shao,Application of Grey Relation Analysis and RBF Network On Grinding-Concentration Soft Sensing,Preprints of 16th IFAC World Congress,Prague,July 4-8,2005,Topic: Mining,Mineral & Metal Process.[4]C. Shao,. Zhang,RBF Neural Networks and Genetic Algorithms Based Optimization Control of Aluminum Powder Nitrogen Atomization Process,Proceedings of the 44th IEEE Conference on Decision and Control,and the European Control Conference,Seville,Spain,December 12-15,2005,8048-8053.[5]C. Shao,J. Nie,. Gao,A robust iterative learning control with neural networks for robot,Pre-Prints of IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM),2003,Hong Kong,873-878.[6]C. Shao,. Luo,. Gao,Robust stable adaptive control of uncertain bilinear plants and application for distillation column,Pre-Prints of IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM),2003,Hong Kong,879-884.[7]. Zhang,C. Shao,. Wu,RBF Neural Networks-Based Software Sensor for Aluminum Powder Granularity Distribution Measurement,ISNN2004,Lecture Notes of Computer Science,Vol. 3174,Springer:860-865.[8] Zhang,C. Shao,RBF Neural Networks Process Model Based Optimization of Aluminum Powder Particle Size Distribution,Proceedings of the 6th World Congress on Intelligent Control and Automation,. Dalian,China. 8048-8053.[9]. Zhang,C. Shao,Fuzzy-PID Hybrid Control for Temperature of Melted Aluminum in Atomization Furnace. Proceedings of the 6th International Conference on Intelligent Systems Design and Applications. . Jinan,China.[10]. Zhang,D. Jin,C. Shao,A New Integrated Control Technology In Reheating And Rolling Process,11th IFAC Symposium on Automation in Mining,Mineral Metal Processing. Nancy France,September 08 - 10,2004.[11]Y. Li,C. Shao,Application of Wavelet Network’s Soft Sensing in Ball Mill’s Faults Diagnosis,International Symposium on Neural Networks,2005.[12]徐恭贤,邵诚,修志龙,甘油生物歧化为1,3-丙二醇过程的H∞控制,自动化学报,2006,32 ⑴: 112-119.[13]李勇,邵诚. 一种新的灰关联分析算法在软测量中的应用,自动化学报,2006年,32⑵:311-317.[14]邵诚,张永辉.铝粉氮气雾化分级过程集成优化控制系统,信息与控制,2006年,35卷,1期:114-119.[15]刘瑞国,邵诚,一种带有参数可自适应调节的改进遗传算法,信息与控制,2003年,32卷,6期:556-560.[16]张立权,邵诚,基于模糊预测器模型的混沌时间序列预测,信息与控制,2005,34卷,6期: 660-664.[17]巫庆辉,邵诚,直接转矩控制技术的研究现状与发展趋势,信息与控制,2005,34⑷:444-450.[18]李勇,邵诚,一种新的灰关联分析算法-一致关联度,信息与控制,2006年,35⑷.[19]刘鸣,邵诚,异步电动机的自抗扰控制器及其参数整定,控制与决策,18卷,5期,2003年,540-544.[20]杨祯山,邵诚,电梯群控技术的现状与发展方向,控制与决策,20卷,12期,2005年,1321-1331.[21]巫庆辉,邵诚,基于递归型小波神经网络的感应电动机伺服驱动系统自适应控制,机械工程学报,2005,41⑵:71-76.[22]巫庆辉,邵诚,感应电动机定子磁场定向直接转矩控制中定子电阻自适应估计方法,机械工程学报,2006,42⑹:24-29.[23]刘艳,邵诚,电动汽车感应电机的时变模型与计算机仿真,系统仿真学报, ⑸,2004,2052-2055.[24]张凯举,邵诚. 基于生产目标的热轧过程集成控制方法的研究. 系统仿真学报,2004,16 ⑴: 48-51[25]张凯举,邵诚,朱晖. 步进式加热炉炉温优化算法的改进与计算机仿真,系统仿真学报,2006,18⑶: 794-796.[26]张凯举,邵诚. 基于机理分析的钢坯轧前及粗轧过程的温降计算.,钢铁研究学报,2004,Vol. 16 ⑷:39-42.[27]张凯举,邵诚, 基于温度的钢坯加热与轧制过程的集成控制方法及仿真研究,钢铁,2004,39⑿:43-46.[28]张凯举,邵诚,钢铁工业加热炉先进控制技术及其发展,冶金自动化,2003,27 ⑴:11-15.[29]张永辉,邵诚.雾化炉铝液温度的自整定模糊-PI控制,冶金自动化2005年,29(s1):399-402.[30]徐恭贤,冯恩民,邵诚,修志龙,色氨酸生物合成的稳态优化,工程数学学报,2005,22 ⑹:975-982。[31]李勇,邵诚,基于神经网络的混凝土断裂参数灰色软测量,测试技术学报, 2005,19⑵:146-151.[32]李勇,邵诚,基于BP网络的软测量在断裂能检测中的应用,工业仪表与自动化装置, 2005,5 (185): 6-11.[33]张凯举,邵诚,基于离散状态空间的钢坯粗轧阶段温度控制模型,大连理工大学学报,2004,44 ⑹: 892-896.[34]金迪,邵诚,自抗扰控制器在6自由度液压并联机器人仿真分析中的应用,大连理工大学学报,2003年,43卷,5期: 691-696.[35]张永辉,邵诚,崔波.铝粉雾化炉温度的模糊-PID复合控制,大连理工大学学报. 2006,46⑷: 572-575.[36]李勇,邵诚. 高压线路中串联IGBT动态均压方法的研究,华南理工大学学报,2006,34⑴:43-47.[37]李勇,邵诚.灰色软测量在介质填充率检测中的应用.中国矿业大学学报,2006,35⑷: 549-554.[38]赵志宇, 邵诚,于云满,基于小波变换的滚动轴承故障诊断专家系统的研究,机械设计与研究,2005,21 ⑴: 50-52.[39]薛丽,邵诚,供电企业综合统计系统中的安全性策略,计算机工程,2004,30 ⑾: 168-169.[40]李勇,邵诚. 基于RBF网络的球磨机介质填充率灰色软测量,2004全国博士生学术论坛文集. 2004年,282-291.[41]孙海英,邵诚,金迪,炼油企业原油储运调度方法的研究,齐齐哈尔大学学报,19⑷,2003,39-43.[42]C. Shao,Y. Yang,F. Gao and F. Wang: Optimal iterative learningcontrol with uncertain initializations and disturbances,Preprints of the 6th IFAC Symposium on Dynamics and Control of Process Systems,June 4-6,2001,Jejudo Island,Korea,pp. 532-537.[43]F. Gao,C. Shao,F. Wang and W. Wang: Robust adaptive control of bilinear plants with high-order perturbation uncertainties,Proceedings of 39th IEEE Conference on Decision and Control,December 12-15,2000,Sydney,Australia,pp. 4934-4938.[44]J. Jiya,C. Shao and . Chai: Comparison of PID and PPI design techniques for a process with time delay,Preprints of the 14th World Congress of IFAC,July 5-9,1999,Beijing,China,pp. 391-396.[45]J. Jiya,C. Shao and . Chai: Design of an adaptive control of bilinear system with guaranteed stability,International Journal of Systems Science,. 651-657.[46]. Zhang,C. Shao and T. Chai: Indirect adaptive control for a class of linear time-varying plants,IEE Proc. Part D,Control Theory and Applications,. 141-149.[47]J. Jiya,C. Shao and . Chai: Neural network based adaptive predictive control algorithm on nonlinear non-minimum phase systems,Proceedings of the American Control Conference,San Diego,California,USA,June 1999,pp. 1082-1085.[48]. Wang,C. Shao and . Chai: Application of multivariable technique in temperature control of reheating furnace,Proceedings of the 1999 IEEE International Conference on Control Applications,Kohala Coast-Island of Hawai’i,Hawai’I,USA,August 22-27,1999,pp. 29-32.[49]. Wang,. Chai,. Guan and C. Shao: Hybrid optimization set point strategy for slab furnace temperature,Proceedings of the American Control Conference,San Diego,California,USA,June 1999,pp. 2362-2365.[50]J. Jiya,C. Shao and . Chai: Design of an adaptive bilinear control algorithm for a class of combustion processes,Preprints of IFAC Workshop on Adaptive Control and Signal Processing,UK,1998,pp. 26-28.[51]. Xu,C. Shao and . Chai: Learning control for a class of constrained mechanical systems with uncertain disturbances,Proceedings of the American Control Conference,Albuquerque,NM,USA,June 4-6,1997,pp. 3854-3858.[52]. Xu,. Chai and C. Shao: Force and contact transient control for robot manipulators with robustness enhancement,Proceedings of the American Control Conference,Albuquerque,NM,USA,June 4-6,1997,pp. 952-956.[53]. Zhu,. Chai and C. Shao: Robust nonlinear adaptive observer design using dynamic recurrent neural networks,Proceedings of the American Control Conference,Albuquerque,NM,USA,June 4-6,1997,pp. 1096-1100.[54]. Zhang,. Chai and C. Shao: Synthetic approach for control of intermittent wind tunnel,Proceedings of the American Control Conference,Albuquerque,NM,USA,June 4-6,1997,pp. 203-207.[55]Y. Heng,. Chai and C. Shao: Adaptive control of nonlinear non-minimum phase systems using neural networks,Proceedings of the 36th IEEE Conference on Decision and Control,San Diego,California,USA,December 10-12,1997,pp. 2211-2212.[56]C. Shao: On the robust stability of a Clarke-Gawthrop type of self-tuning controller,International Journal of Control,. 721-731.[57]. Zhang,C. Shao and . Chai: A new method for independently tuning PID parameters,Proceedings of the 36th IEEE Conference on Decision and Control,Kobe,Japan,December 11-13,1996,pp. 2527-2532.[58]. Xu,C. Shao and . Chai: An adaptive impedance controller for robot manipulators in task space,Proceedings of the 36th IEEE Conference on Decision and Control,Kobe,Japan,December 11-13,1996,pp. 392-393.[59]. Dai,T. Zhang,. Chai and C. Shao: Robust direct adaptive control based on dynamic neural networks,Proceedings of the 36th IEEE Conference on Decision and Control,Kobe,Japan,December 11-13,1996,pp. 2424-2425.[60]C. Shao: Robust stable adaptive control for the plants with nonlinear disturbances,Preprints of IFAC 4th Low Cost Automation,Buenos Aires,Argentina,August 11-13,1995,.[61]. Gu and C. Shao: On the robust stability condition for adaptive control systems,Chinese Journal of Automation,Allerton Press,Inc.,. 604-610.[62]. Gu and C. Shao: Robust adaptive control for time-varying linear plants using polynomial approximation,IEE Proc. Part D,Control Theory and Application,Vol. 140,. 111-118.[63]C. Shao: Stable adaptive control system subject to bounded external disturbances,International Journal of Adaptive Control and Signal Processing,. 2,1991,pp. 121-134.[64]. Gu and C. Shao: A self-tuning controller using techniques of conditionally updating parameter estimates,Chinese Journal of Automation Allerton Press,Inc.,. 219-229.[65]王中杰,柴天佑, 邵诚: 加热炉多模式动态优化控制策略,控制与决策,第14卷,第5期,1999年,465-468页.[66]王中杰,柴天佑,邵诚,王伟: 加热炉最优炉温设定策略的研究,信息与控制,第28卷,第7期,1999年,600-606页.[67]王中杰,柴天佑, 邵诚: 加热炉O2闭环控制策略的研究,钢铁,第34卷,第7期,1999,532-542页.[68]王中杰,柴天佑, 邵诚: 基于RBF神经网络的加热炉钢温预报模型,系统仿真学报,第11卷,第3期,1999,181-184页.[69]邵诚,张承进: A modified Clarke-Gawthrop self-tuning controller with guaranteed robust stability,控制理论与应用,第14卷,第5期,1997年,671-678页.[70]徐为民,柴天佑,邵诚: 工业机械手的自适应阻抗控制新方法,控制与决策,第12卷,第2期,1997,109-131页.[71]邵诚,顾兴源: 带有模型误差反馈的鲁棒自校正控制器,控制理论与应用,第11卷,第5期,1994年,604-610页.[72]顾兴源,邵诚: 关于自适应控制系统的鲁棒稳定性条件,自动化学报,第19卷,第4期,1993年,444-449页.[73]顾兴源,邵诚: 按条件更新参数的自校正控制器, 自动化学报, 第15卷,第3期, 1989,232-241.