王炳昌

王炳昌，男，山东大学控制科学与工程学院副教授，硕士生导师

学习工作经历:

2011年7月在中国科学院系统科学所获得博士学位;

2011年10月至2012年9月在阿尔伯塔大学(加拿大)作博士后;

2012年9月至2013年9月在纽卡斯尔大学(澳大利亚)作Research Academic;

2013年10月加入山东大学控制科学与工程学院;

2014年11月至2015年5月访问卡尔顿大学(加拿大)任Research Associate.

研究方向：

多智能体(机器人)协作、分布式计算与优化、随机控制与随机算法、无线传感网络、大数据分析

社会兼职

担任中国自动化学会青年工作委员会委员，中国自动化学会控制理论专业委员会随机系统学组、多自主体控制学组委员.

担任Session Co-chair/Chair of Chinese Control Conference (CCC2014, 2015, 2016)， Program Committee Member of the 12th World Congress on Intelligent Control and Automation (WCICA 2016).

担任IEEE Transactions on Automatic Control, SIAM Journal on Control and Optimization, IEEE Conference on Decision and Control, IFAC World Congress 等国际期刊和会议的审稿人.

科研项目：

主持国家自然科学基金面上项目一项、青年项目一项、教育部留学回国基金一项、山东大学自主创新基金一项；参与重大国际合作与交流项目(260万)一项、国家自然科学基金面上项目两项(已结题)和青年项目一项.

在国际期刊和会议上发表论文20余篇，主要包括:

期刊论文

Bing-Chang Wang*,and Ji-Feng Zhang,Social optima in mean field LQG models with Markov jump parameters,SIAM Journal on Control andOptimization, 55(1), 429-456, 2017.

Bing-Chang Wang*, Xiangyu Meng and Tongwen Chen, Event based pulse-modulated control of linear stochastic systems,IEEETransactions on Automatic Control, 59(8), 2144-2150, 2014.

Bing-Chang Wang*, and Ji-Feng Zhang, Hierarchical mean field games for multi-agent systems with tracking-type costs: Distributed epsilon-Stackelberg equilibria,IEEE Transactions on Automatic Control, 59(8), 2241-2247, 2014.

Qiang Zhang, Bing-Chang Wang*, and Ji-Feng Zhang, Distributed dynamic consensus under quantized communication data.InternationalJournal of Robust and Nonlinear Control, 25, 1704–1720, 2015.

Bing-Chang Wang*, and Ji-Feng Zhang, Distributed output feedback control of Markov jump multi-agent systems,Automatica, 49(5), 1397-1402, 2013.

Bing-Chang Wang, and Ji-Feng Zhang*, Mean field games for large-population multiagent systems with Markov jump parameters,SIAM Journal on Control andOptimization, 50 (4), 2308-2334, 2012.

Bing-Chang Wang, and Ji-Feng Zhang*, Distributed control of large population multiagent systems with random parameters and a major agent,Automatica, 48 (9), 2093-2106, 2012. ( Regular paper)

Bing-Chang Wang, and Yuan-Yuan Liu*, Local asymptotics of a Markov modulated random walk with heavy tailed increments,Acta Mathematica Sinica, English Series (SCI), 27(9), 1843-1854, 2011.

Zhen-Ting Hou, and Bing-Chang Wang*, Makov skeleton process approach to a class of partial differential-integral equation systems arising in operation research,International Journal of Innovative Computing, Information and Control(SCI), 7(12), 6799-6814, 2011.

Bing-Chang Wang, and Ji-Feng Zhang, Consensus conditions of multi-agent systems with unbalanced topology and stochastic disturbances,Journal of Systems Science and Mathematical Sciences, 29(10), 1353-1365, 2009. (in Chinese)

Bing-Chang Wang, and Hai-Ling Dong, Some local asymptotic results on Markov renewal theorems,Mathematica Applicata, 2010, 23 (2), 237-243. (in Chinese)

Bing-Chang Wang, Hai-Ling Dong, and Xiu-Li Chen, An expression of local equivalent relation on Markov renewal measure,Mathematica Applicata, 2009, 22 (3): 485-489. (in Chinese)

Hai-Ling Dong, Zhen-Ting Hou, and Bing-Chang Wang, A Class of Markov-modulated continuous infectious disease model,Journal of Biomathematics, 2008, 23(1), 79-84. (in Chinese)

Yibing Sun, Minyue Fu, Bingchang Wang, Huanshui Zhang, Damian Marelli, Dynamic state estimation for power networks using distributed MAP technique,Automatica, 2016.

Hai-Ling Dong, Jia-Mu Zhou, and Bing-Chang Wang, Exponential synchron- ization on Markov jump networks with random occurs and nonlinearities coupling via event-triggered strategy, resubmitted to IEEE Transactions on Neural Networks and Learning Systems.

Bing-Chang Wang and Minyue Fu, Optimal sampling for state estimation of discrete-time linear systems, preprint.

会议论文

Bing-Chang Wang, and Minyi Huang, Dynamic production output adjustment with sticky prices: A mean field game approach,Proceedings of 54th IEEE Conference on Decision and Control(CDC),Osaka, Japan, 2015.

Yibing Sun, Minyue Fu, Bingchang Wang, Huanshui Zhang, A distributed MAP approach to dynamic state estimation with applications in power networks,Proceedings of 14 European Control Conference, Linz, Austria, 2015.

Bing-Chang Wang, Mean field team decision problems for Makov jump multiagent systems,Proceedings of the 34th Chinese Control Conference, July 28-30, 2015, Hangzhou, 1845-1860.

Bing-Chang Wang, and Minyue Fu, Comparison of periodic and event based sampling for linear state estimation,World Congress of the International Federation of Automatic Control (IFAC), Cape Town, South Africa,2014.

Bing-Chang Wang, Mean field games for Markov jump multi-agent system，Proceedings of the 33th Chinese Control Conference, July 28-30, Nanjing, 2014, pp. 5397-5402.

Xiangyu Meng, Bingchang Wang, Tongwen Chen and Mohamed Darouach, Sensing and actuation strategies for event triggered stochastic optimal control.Proceedings of 52nd IEEE Conference on Decision and Control (CDC), Florence, Italy, 2013, pp. 3097-3102.

Bing-Chang Wang, and Ji-Feng Zhang, Stackelberg games of large population multiagent systems: Centralized and distributed strategies,Proceedings of the31th Chinese Control Conference, Hefei, 2012, pp. 6303-6308.

Bing-Chang Wang, and Ji-Feng Zhang, Distributed control of multi-agent systems with major agents and Markov parameters,Proceedings of the 30Chinese Control Conference, Yantai, China, July 22-24, 2011, pp. 4835-4840.

Bing-Chang Wang, and Ji-Feng Zhang, Mean field games for large-population stochastic multi-agent systems with Markov jump parameters，Proceedings of the 29th Chinese Control Conference, July 29-31, Beijing, 2010, pp. 4572-4577.