CSC Lab | SJTU CSC Lab

Team Including CSC Lab Members Receives CAA Scientific and Technological Achievement Award

Thu, 05 Jun 2025 00:00:00 +0000

The 2024 Chinese Association of Automation Science and Technology Awards ceremony was held in Beijing on May 25, 2025. The Industrial Process Intelligent Optimization and Control Team at Shanghai Jiao Tong University’s School of Automation and Sensing received the CAA Scientific and Technological Achievement Award in the Innovation Team category. CSC Lab members Professor Yugeng Xi, Professor Dewei Li, and Researcher Jing Wu were included in the official list of contributors.

The team has built a sustained body of work in industrial process optimization and control, spanning predictive-control theory, engineering applications, and talent development. Its technologies have been deployed in process-industry settings including petrochemicals and steel manufacturing.

This is a team award. The complete contributor list and project description are available in the official Shanghai Jiao Tong University report.

CSC Lab's AWESOME Team Wins First Place in the 3rd OnSite Autonomous Driving Algorithm Challenge

Sat, 17 May 2025 00:00:00 +0000

The defense presentation for the 3rd OnSite Autonomous Driving Algorithm Challenge was recently held in Beijing. The AWESOME team from Shanghai Jiao Tong University, mentored by Associate Professor Yunwen Xu from the School of Automation and Perception, won first place in the parking track. The team, consisting of graduate student Zhang Yifan and undergraduate students Yu Haoran and He Zile, demonstrated exceptional technical prowess through multiple rounds of online algorithm testing and offline defense presentations.

Prof. Xu Yunwen at the defense presentation

Project Highlights

Automated Valet Parking (AVP), as a typical L4 autonomous driving application scenario, effectively addresses urban parking challenges through autonomous parking space search and precise parking. The Onsite track deeply recreates typical urban parking scenarios, featuring various parking spaces, dynamic obstacles, and cross-floor navigation, simulating extreme parking conditions to verify algorithm robustness and adaptability. The parking track attracted 50 teams from 28 universities, completing 62,200 scenario tests, averaging approximately 1,200 tests per team.

Dynamic parking test scenario

Technical Innovation

The AWESOME team developed innovative solutions for the competition scenarios:

An efficient multi-stage parking trajectory generation method based on human-like parking planners
A collaborative obstacle avoidance trajectory planning method combining global trajectory guidance with local rolling optimization

The team completed all 310 test cases on the Onsite autonomous driving testing platform, including:

Dead-end road scenarios
Narrow space scenarios
Deep parking spots and other extreme conditions

Under a comprehensive evaluation system considering efficiency, safety, accuracy, and success rate, the team won first place in the online track with a significant advantage and excelled in the offline defense presentation, ultimately securing the championship in the parking track.

About the Competition

The 3rd OnSite Autonomous Driving Algorithm Challenge was held under the guidance of the Department of Engineering and Materials Science of the National Natural Science Foundation of China and the China Society of Automotive Engineers. It was hosted by Tongji University and the National Innovation Center of Intelligent and Connected Vehicles, with co-organization from Zhejiang University, Shanghai Jiao Tong University, Tsinghua University, and Wuhan University of Technology. The competition focused on AI-driven autonomous driving technology development with seven online tracks.

Since its launch in March 2025, the competition scale includes:

90 universities from China and abroad
418 participating teams
873 contestants
Over 2,000 algorithm updates
More than 1.5 million autonomous driving algorithm tests

The 5th China Model Predictive Control and Intelligent Decision Conference Held in Shanghai

Fri, 16 May 2025 00:00:00 +0000

From May 10th to 11th, the 5th China Model Predictive Control and Intelligent Decision Conference (CMPC) was held in Shanghai. The conference was hosted by the Chinese Association of Automation and its Professional Committee on Predictive Control and Intelligent Decision, organized by the School of Automation and Perception at Shanghai Jiao Tong University, and co-organized by Hollysys KAYO Technology Co., Ltd. and the Shanghai Automation Society. More than 200 experts, scholars, and industry professionals from the field of predictive control and intelligent decision-making at home and abroad attended the conference, including Wu Qidi, former Vice Minister of the Ministry of Education; Guo Lei, Academician of the Chinese Academy of Sciences and researcher at the Academy of Mathematics and Systems Science, CAS; Guan Xiaohong, Academician of the Chinese Academy of Sciences and Professor at Xi’an Jiaotong University; Wang Xingyu, former President of East China University of Science and Technology; Zhou Donghua, Vice Chairman of the Chinese Association of Automation and Professor at Southeast University; Yang Zhenbin, Party Secretary of Shanghai Jiao Tong University; Guan Haibing, Vice President of Shanghai Jiao Tong University; Chair Professor Xi Yugeng, and more. The opening ceremony was hosted by Guan Haibing.

In his speech at the opening ceremony, Yang Zhenbin stated that as one of the important hubs for education, research, and talent in the field of automation in China, Shanghai Jiao Tong University has always taken serving national strategic needs as its mission, producing many pioneers such as Qian Xuesen, Shen Shangxian, Zhong Shimo, and Zhang Zhongjun. In recent years, SJTU has worked closely with peer institutions and industry partners, closely integrating academic exploration with national needs, and has continuously contributed wisdom in areas such as innovation in model predictive control algorithms and intelligent decision system architecture design. He looked forward to in-depth exchanges among the guests and the formation of more substantive cooperation.

On behalf of the Chinese Association of Automation, Zhou Donghua extended warm congratulations on the successful convening of the conference, highly praised SJTU’s pioneering contributions in the field of predictive control, fully affirmed the university’s important role in discipline development and talent cultivation, and expressed sincere gratitude to the mentors and seniors who guided and supported him during his studies at SJTU.

Conference Chair and SJTU Chair Professor Guan Xinping stated in his speech that predictive control technology has developed for more than 50 years and has become a core driving force for industrial upgrading. As the organizer, the School of Automation and Perception at SJTU will provide professional services for the conference and help promote technological breakthroughs and application implementation.

The conference held a launch ceremony for Professor Xi Yugeng’s new book, “Model Predictive Control—Retrospect and Insights.” Guo Lei, Yang Zhenbin, and Xi Yugeng jointly unveiled the new book. Xi Yugeng is one of the earliest experts in China to engage in predictive control research, and this work is a review and reflection on his research in the field.

The conference invited Guo Lei, Guan Xiaohong, Zhou Donghua, Zhongping Jiang (Academician of the European Academy of Sciences and Distinguished Professor at New York University), Shuzhi Sam Ge (Academician of the Singapore Academy of Engineering and Professor at the National University of Singapore), Hu Xiaoming (Professor at KTH Royal Institute of Technology, Sweden), and Sun Yang (Academician of the Canadian Academy of Engineering and Professor at the University of Victoria, Canada) to give keynote speeches. They shared cutting-edge academic views and in-depth analysis of technical challenges based on their latest research results and practical experience. The keynote sessions were chaired by Professors Wang Wei (Dalian University of Technology), Guan Xinping, Chen Hong (Tongji University), Li Shaoyuan (Shanghai Jiao Tong University/Qingdao University of Science and Technology), Yang Bo (Shanghai Jiao Tong University), Feng Enbo (East China University of Science and Technology), and Li Dewei (Shanghai Jiao Tong University).

In addition to the keynote speeches, the conference also featured academic seminars on retrospection and insights in predictive control, frontier forums, special sessions, and the Xi Yugeng Excellent Paper Award selection, focusing on cutting-edge topics such as complex system predictive control, AI-enabled optimization decision-making, and deep industrial applications.

Xi Yugeng, Wu Qidi, Wang Xingyu, Wang Wei, Wang Xiaofan (President of Shanghai Institute of Technology), Chen Hong, Feng Enbo, Xia Yuanqing (President of Zhongyuan Institute of Technology) participated in the academic seminar, sharing their research experiences, reviewing the development of the predictive control field, and engaging in lively exchanges with attendees. The seminar was chaired by Li Shaoyuan.

The frontier forums focused on topics such as “Intelligent Control and Optimization,” “Industrial Intelligence and Its Applications,” “Complex System Predictive Control and Intelligent Decision-Making,” and “Key Pathways for AI-Enabled Optimization Control.” Professors Hong Yiguang (Tongji University), Xu Shengyuan (Nanjing University of Science and Technology), Zhang Haitao (Huazhong University of Science and Technology), Liu Tengfei (Northeastern University), Li Yuanlong (Shanghai Jiao Tong University), Hu Qinglei (Beihang University), Zhao Jun (Dalian University of Technology), Cheng Long (Institute of Automation, Chinese Academy of Sciences), Cheng Peng (Zhejiang University), Tang Yang (East China University of Science and Technology), Zhang Lixian (Harbin Institute of Technology), You Keyou (Tsinghua University), Li Zhongkui (Peking University), Xin Bin (Beijing Institute of Technology), Li Huiping (Northwestern Polytechnical University), Zhu Yucai (Zhejiang University), Zhu Jian (Chief Scientist, China Coal Technology & Engineering Group), Zhang Qianning (Senior Architect, Huawei Technologies), Zhou Donghong (Founder, Hollysys KAYO Technology), and Shan Yuan (Chief Scientist, MCC Coking & Refractory Engineering Technology) delivered reports. The forums were chaired by Professors Liu Xiangjie (North China Electric Power University), Shen Hongbin (Shanghai Jiao Tong University), Wang Youqing (Beijing University of Chemical Technology), Zhong Weimin (East China University of Science and Technology), Liu Yu (South China University of Technology), Yin Xiang (Shanghai Jiao Tong University), Li Yongfu (Chongqing University of Posts and Telecommunications), and Dai Wenbin (Shanghai Jiao Tong University).

The special session, themed “Forty Years of Accumulation and Development,” invited Professors Liu Wanquan and Han Yu (Sun Yat-sen University), Researcher Zou Tao (Guangzhou University), Professor Yuan Ye (Huazhong University of Science and Technology), Professor Ding Baocang (Chongqing University of Posts and Telecommunications), Assistant Professor Lu Yang (Nanjing University), Associate Researcher Xu Yunwen (Shanghai Jiao Tong University), and Algorithm Expert Li Jiwei (Alibaba DAMO Academy) to give special reports. They reviewed the development of the predictive control field from different perspectives and looked forward to future trends, providing new ideas for continuous innovation in the industry. The session was chaired by Li Shaoyuan and Li Dewei.

In addition, after on-site defense by the authors and careful review by the conference experts, two papers, “Koopman Operator-Based Stable Economic Model Predictive Control” and “A New Method for Predicting Compressive Strength of Cement Clinker Based on Integrated Feature Selection and Optimized Hybrid Kernel Support Vector Regression,” won the Xi Yugeng Excellent Paper Award.

At the closing ceremony, Conference Chair Yang Bo handed over the flag to Professor Hu Chaofang of Tianjin University, the next host.

Launch Meeting of the National Key R&D Program 'Key Technologies and Equipment for Coal Conversion Process Closed-Loop Control System' Held at Shanghai Jiao Tong University

Mon, 28 Apr 2025 07:45:00 +0000

Recently, the launch meeting of the National Key R&D Program for Clean and Efficient Coal Utilization Technology - “Key Technologies and Equipment for Coal Conversion Process Closed-Loop Control System” was held at the Minhang Campus of Shanghai Jiao Tong University. Led by Shanghai Jiao Tong University, this project brings together eight top domestic research institutions and enterprises, including Tsinghua University, Central South University, Beijing University of Chemical Technology, Shanxi Institute of Coal Chemistry (Chinese Academy of Sciences), HOLLiAS Kayoubei Technology Co., Ltd., Yucheng Xuyang Energy Co., Ltd., and Cangzhou Xuyang Chemical Co., Ltd. The project aims to overcome key technical bottlenecks in the refined management and control of the coal chemical industry, promote green and efficient development in China’s coal chemical industry, and support the country in building a secure, self-reliant new energy system.

Professor Qiu Yegao, Dean of the Frontier Innovation Institute of Shanghai Jiao Tong University, and Professor Han Tao, Party Secretary of the School of Automation and Perception, attended the launch meeting. The expert panel providing strategic support for the project consists of authoritative scholars in coal chemical engineering, automation, and process control, including Professor Yao Qiang (Tsinghua University/Xinjiang University), Researcher Ye Mao (Dalian Institute of Chemical Physics, Chinese Academy of Sciences), Professor Zhao Jun (Dalian University of Technology), Professor Han Honggui (Beijing University of Technology), Professor Zou Tao (Guangzhou University), Senior Engineer Jiang Jingliang (Shanghai Boiler Works Co., Ltd.), and Senior Engineer Zhao Hengping (Sinopec Technology). The meeting was chaired by Professor Han Tao.

Project launch meeting

In his speech, Professor Qiu Yegao emphasized that “clean and efficient coal utilization” plays a significant role in building China’s secure and self-reliant new energy system. He expressed his expectation that the project, leveraging the university’s long-term expertise in automation and collaborating with top domestic teams, would promote the development of self-reliant and reliable management and control software systems for China’s coal chemical industry, providing “SJTU solutions” for the industry’s intelligent upgrading and green development.

Professor Li Dewei, the project leader, gave a detailed report on various aspects of the project, including background and technical routes, task setup and research plans, assessment indicators and expected outcomes, progress arrangements and implementation plans, and management systems and risk analysis. He stated that Shanghai Jiao Tong University would adhere to application-oriented principles to overcome core technical challenges, strengthen collaborative cooperation to consolidate industry innovation, and strictly adhere to scientific research standards to ensure project quality.

Subsequently, Yuan Zhihong, Chen Xiaofang, Wang Mengzhi, and Huang Zhenlin presented detailed reports on their respective task implementation plans.

Expert panel discussions

The expert panel highly endorsed the project’s overall technical approach, considering the implementation plan to be systematic, complete, and feasible, with reasonable technical routes, correct research methods, and appropriate progress arrangements. After deliberation, the expert panel unanimously agreed that the project implementation plan passed the demonstration and provided constructive suggestions from multiple dimensions such as financial management, acceptance standards, and risk prevention mechanisms. In the future, the project team will comprehensively review and implement the experts’ opinions and suggestions, accelerate the high-quality implementation of the project, and expedite the cultivation and transformation of achievements.

ACA Fellow Award Recipient, Congratulations to Professor Yugeng Xi

Sat, 28 Dec 2024 00:00:00 +0000

ACA Fellow Award Recipient

We are thrilled to announce that Professor Yugeng Xi from the Department of Automation at Shanghai Jiao Tong University has been awarded the prestigious ACA Fellow Award!

ASCC 2024 Highlights

The 14th Asian Control Conference (ASCC 2024) recently concluded in Dalian, bringing together experts and scholars from the control science and engineering fields across the Asia-Pacific region. The conference provided a platform for discussing cutting-edge technologies and applications in control systems.

During the closing ceremony, several awards were announced, including the ACA Fellow Award, ACA Outstanding Contribution Award, ACA Temasek Young Educator Award, and ACA Wook Hyun Kwon Education Award. Among the distinguished recipients, Professor Yugeng Xi was honored with the ACA Fellow Award.

About the ACA Fellow Award

The ACA Fellow Award is established by the Asian Control Association (ACA) to recognize individuals who have made outstanding contributions to the fields of control, automation, artificial intelligence, robotics, and systems in the Asia-Oceania region. This award acknowledges excellence in theoretical research, technological innovation, engineering applications, and efforts in promoting academic exchange, talent cultivation, and international cooperation.

This year marks the 30th anniversary of the Asian Control Organization and the ASCC. It is also the first time the ACA Fellow Award has been established and presented, with 21 renowned scholars receiving this honor.

Professor Yugeng Xi’s Contributions

Professor Yugeng Xi is a distinguished professor at Shanghai Jiao Tong University. He has been instrumental in advancing the development and academic activities of the Asian Control Organization. In 2000, he organized the 3rd Asian Control Conference (ASCC2000) in Shanghai, significantly fostering collaboration and exchange between control scientists in China and the Asia-Pacific region.

Professor Xi served as the President of the Asian Control Professors Association (ACPA, the predecessor of ACA) from 2001 to 2002 and as the President of ACA from 2011 to 2012. He is currently a member of the ACA Advisory Committee.

Conclusion

We extend our heartfelt congratulations to Professor Yugeng Xi on this well-deserved recognition. His dedication and contributions to the field of control science and engineering continue to inspire and drive progress in the academic community.

once again, congratulations to Professor Yugeng Xi!

Fourth China Conference on Predictive Control and Intelligent Decision-Making Successfully Held

Tue, 10 Dec 2024 14:34:00 +0000

From May 10 to 12, 2024, the Fourth China Conference on Predictive Control and Intelligent Decision-Making (CPCID 2024) was successfully held in Hangzhou. The conference was organized by the Predictive Control and Intelligent Decision-Making Committee of the Chinese Association of Automation. The event attracted nearly 300 participants from universities, research institutions, and enterprises across the country, creating an intense atmosphere of academic discussion.

The three-day conference included pre-conference forums, keynote speeches, roundtable discussions, frontier forums, youth forums, and poster exhibitions. A total of 38 speakers shared their findings and engaged in discussions on topics such as predictive control and intelligent decision-making for complex systems, intelligent control and decision-making for autonomous unmanned systems, and the future development of predictive control. The exchange of ideas sparked lively discussions on the latest trends and research outcomes.

During the opening ceremony, Professor Zhang Xiaoqin, Vice President and Member of the Party Committee of Zhejiang University of Technology, and Professor Li Dewei, Chairman of the Predictive Control and Intelligent Decision-Making Committee of the Chinese Association of Automation and Professor at Shanghai Jiao Tong University, delivered opening remarks. They expressed their warm congratulations on the event and hoped that the conference would serve as a broad platform for academic exchange and collaboration in the field of predictive control and intelligent decision-making. The goal is to foster more high-level research outcomes and facilitate the application of theoretical findings in industrial settings.

The conference featured keynote speeches by distinguished scholars, including Professor Yu Haibin, Academician of the Chinese Academy of Engineering and Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences; Professor Guo Lei, Academician of the Chinese Academy of Sciences and Professor at Beihang University; Professor Zhang Chenghui, IEEE Fellow and National High-Level Talent at Shandong University; Professor Du Wenli, National High-Level Talent at East China University of Science and Technology; and Professor Chen Wenhao, IEEE Fellow at Loughborough University. The sessions were chaired by Professor Xi Yugeng from Shanghai Jiao Tong University, Professor Li Shaoyuan from Shanghai Jiao Tong University/Qingdao University of Science and Technology, Professor Liu Fei from Jiangnan University, Professor Xia Yuqing from Beijing Institute of Technology, and Professor Kang Yu from the University of Science and Technology of China. The speakers shared their latest research findings and experiences, inspiring the attendees and fostering open discussions. The event provided a valuable opportunity for Chinese scholars to engage with top scientists and participate in high-level, international, and forward-looking academic exchanges.

In addition to the keynote speeches, the conference included various activities such as frontier forums, roundtable discussions, youth forums, and best paper awards. The frontier forums focused on “Predictive Control and Intelligent Decision-Making for Complex Systems” and “Intelligent Control and Decision-Making for Autonomous Unmanned Systems,” featuring speakers from prominent universities. After rigorous evaluations, two papers were selected as the best papers of the conference.

The roundtable discussion, themed “Future Development of Predictive Control and Intelligent Decision-Making,” was chaired by Professor Hu Qinglei from Beihang University. Participants included Professor Li Shaoyuan from Shanghai Jiao Tong University/Qingdao University of Science and Technology, Professor Liu Fei from Jiangnan University, Professor Han Honggui from Beijing University of Technology, Professor Gao Bingzheng from Tongji University, Professor Liu Xiangjie from North China Electric Power University, and Professor Xin Xin from Southeast University. The discussion featured lively interactions with the audience.

This conference facilitated constructive dialogues and achieved significant outcomes, deepening academic discussions and research exchanges in the field of predictive control. It laid a solid foundation for future research collaborations, project partnerships, and talent exchanges, establishing a broader network for international academic exchange and cooperation.

Air Compressor Station Operation Optimization System Successfully Commissioned at Steel Plant

Wed, 08 Dec 2021 16:59:00 +0000

Our laboratory has successfully launched the air compressor station operation optimization system independently developed for Baosteel Zhanjiang!

Our laboratory, in collaboration with Beijing Digital Technology Co., Ltd., has successfully launched the air compressor station operation optimization system at Baosteel Zhanjiang Steel Plant, and it has been successfully integrated into production operations.

Engineer Jin Bihui, who is responsible for the project implementation, introduced that the system aims to optimize the operation process, improve production efficiency, and achieve energy conservation and emission reduction. It is well known that the steel industry is a traditional high energy consumer. To reduce unnecessary gas release from air compressors during steel production, we designed an air compressor operation optimization system based on big data concepts, according to the performance parameters of air compressors. Our system, relying on big data methods, mainly achieves two important functions. First, it models the flow data collected from user measurement points and estimates the user’s subsequent usage based on the model. Second, it analyzes the output flow of the air compressor station according to the user’s flow size, combined with the performance parameter diagram of the air compressor and the real-time operating status of the air compressor station collected, to calculate the set pressure for each air compressor in all air compressor stations.

The system has been successfully launched and has achieved good results. According to statistics from the factory personnel, since the system went online, the energy-saving efficiency of the entire air compressor system has reached approximately 5%. Additionally, for the “user usage estimation” module, the prediction error has been reduced to below 7%, and this error rate is expected to decrease further with subsequent adjustments.

The book "Predictive Control" officially published.

Fri, 29 Jan 2021 17:08:00 +0000

The book “Predictive Control,” co-authored by Professors Xi Yugeng and Li Dewei from our laboratory, has been officially published.

The main content of this book is based on the second edition of the Chinese version “Predictive Control,” published in 2013. The theoretical foundation comes from the research achievements of the team led by Professor Xi Yugeng over the past thirty years. This team is one of the earliest in China to engage in the theoretical research of predictive control. Through thirty years of dedicated research, they have pioneered and established a theoretical framework for the predictive control of complex systems, leading the development of predictive control in China. This work has supported the advancement of control theory and technology in various industrial fields, including automation, computer science, mechanical engineering, and materials processing, over the past nearly thirty years. To help readers better understand the field of predictive control, this book includes some cutting-edge and representative research cases in the field.

The electronic version of the book is available for sharing via a provided link. Please visit the website’s homepage to find and read it.