20241216

Presentation in the 2024 IEEE 63rd Conference on Decision and Control (CDC)

The CDC 2024 conference took place from December 16 to 19 at the Allianz MiCo, Milan Convention Centre, Italy. We had the privilege of delivering oral presentations on our accepted works, 'Parameter Identification in Linear Error Equations: Guaranteeing Output Error Boundedness' and 'A Novel Parameter-dependent Input Normalization-based Direct MRAC with Unknown Control Direction'. Both presentations garnered significant interest and sparked engaging discussions among attendees from around the globe. We are deeply grateful for this opportunity and look forward to applying the insights gained to further contribute to the advancement of our field.

20241205

Congratulations to MAgIC Lab for the paper accepted by IEEE L-CSS

The paper entitled 'A Novel Plug-and-Play Cooperative Disturbance Compensator for Heterogeneous Uncertain Linear Multi-Agent Systems' has been accepted by IEEE Control Systems Letters. This paper solves the COR problem under the adaptive feedforward control architecture and throws out a strong potential in the future works towards space active noise control under a MAS framework. Anyone is welcome to discuss with us!

20241111

Congratulations to MAgIC Lab PhD Student Yizhou Gong on Receiving the 2024 National Scholarship!

We are thrilled to announce that first-year PhD student Yizhou Gong from our lab has been awarded the 2024 National Scholarship for Graduate Students. This prestigious award highlights Yizhou's outstanding academic achievements and potential. Congratulations, Yizhou—we look forward to seeing all that the future holds for you!

20241014

Successful participation in the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024.

The IROS 2024 conference was held from October 14 to 18 at the Abu Dhabi National Exhibition Centre, UAE. We delivered presentations on accepted works“Dynamic Modeling of Robotic Fish considering Background Flow using Koopman Operators” and “Data-Driven Modeling of Ground Effect for UAV Landing on a Vertical Oscillating Platform” , accompanied by interactive poster sessions. Both works drew significant interest and sparked discussions among attendees from around the world. The event provided valuable opportunities for engaging with peers and professors from top institutions like MIT and ETH, who showed strong interest in the research and educational philosophy. We also initiated discussions on future collaborations. Attending talks on various robotics topics, including drone racing, bio-inspired robots, and flexible surgical robots, added to the enriching experience.

20240724

Congratulations to MAgIC Lab for two papers accepted by CDC 2024.

The papers entitled 'Parameter Identification in Linear Error Equations: Guaranteeing Output Error Boundedness' and 'A Novel Parameter-dependent Input Normalization-based Direct MRAC with Unknown Control Direction', have been accepted and will be presented on CDC 2024 conference held in MiCo, Milan, Italy.

20240721

Professor Zhengxing Wu Visits MAgIC Lab.

Professor Zhengxing Wu, a researcher of the Institute of Automation of the Chinese Academy of Sciences, recently participated in the ASSIST2024 hosted by ShanghaiTech University, and delivered a speech on the title of 'Intelligent Bio-inspired Underwater Autonomous Vehicle Systems'. After that, he visited the MagIC Lab and had interesting discussions with the students here.

20240707

Congratulations to MAgIC Lab undergraduate student Kaitian Chao on his graduation

Kaitian Chao joined the MAgIC lab in 2023 and conducted research in Robotic Fish under the supervision of Prof. Yang Wang. He graduated in July 2024 with the title of Outstanding Student of Shanghai. Kaitian will go to University of Pennsylvania to continue his research on robotics and artificial intelligence.

20240705

Congratulations to MAgIC Lab undergraduate student Kaitian Chao on his Best Thesis Award

Kaitian Chao's undergraduate thesis paper: An Adversarial Meta Learning-based Dynamic Modeling For Robotic Fish, supervised by Prof. Yang Wang, won the Best Thesis Award among all the 2024 SIST undergraduate theses. Kaitian and Professor Wang were awarded by the Dean Jingyi Yu.

20240630

Congratulations to MAgIC Lab for two papers accepted by IROS 2024.

The papers entitled 'Dynamic Modelling of Robotic Fish with Consideration to Background Flow Using Koopman Theory' and 'Data-Driven Modeling of Ground Effect For UAV Landing on a Vertical Oscillating Platform', have been accepted and will be presented on IROS 2024 conference held in Abu Dhabi.

20240523

Third PhD student of MAgIC Lab!!

After review by the Graduate School and approval by the school's admissions leadership team, Gong will be admitted as a PhD student by Prof. Yang Wang. In the next few years, he will study academic research related to advanced control theory and its application.

20240520

Congratulations to MAgIC Lab master student Jiangkun Xu on his graduation

Jiangkun Xu joined the MAgIC lab in 2021 and conducted research in Output Regulation Problem under the supervision of Prof. Yang Wang. He graduated in June 2024. Jiangkun Xu will work as a Decision Planning Algorithm Engineer in Hangzhou Hikvision Digital Technology Co., Ltd.

20240402

Congratulations to MAgIC Lab for two papers accepted to SCL and EJC, respectively.

The papers entitled 'Robust output regulation for uncertain nonlinear minimum phase systems under unknown control direction' and 'Robust output regulation of a class of uncertain nonlinear minimum phase systems perturbed by unknown external disturbances' have been accepted to Systems & Control Letters and European Journal of Control. The former focuses on disturbance rejection for systems with unknown control direction, while the latter achieves exact reconstruction of unstructured disturbances and closed-loop stabilization. The proposed methods have potentials in controlling uncertain systems in a perturbed environment, such as active noise cancellation, and AC motor control. Anyone is welcome to discuss with us!

20240214

Congratulations to MAgIC Lab for One paper accepted by IET Control Theory & Applications.

The papers entitled 'Adaptive neural network control of robotic manipulators with input constraints and without velocity measurements', has been accepted by IET Control Theory & Applications. This paper addresses the trajectory tracking problem for a class of uncertain manipulator systems under the effect of external disturbances. Rigorous proof and experiments conducted on a rela manipulators are provided in the paper

20231023

Director of HKUST Cheng Kar-Shun Robotics Institute Visits MAgIC Lab.

Professor Fumin Zhang, the director at HKUST Cheng Kar-Shun Robotics Institute, recently dropped by ShanghaiTech University, sparking some serious excitement in the world of robots. During his visit, Professor Zhang had some cool chats with crew at MAgIC Lab, where we geeked out over robots, AI, and all things tech. Having Professor Zhang here is an honor. We can't wait to dive into some epic collabrations. This visit solidifies MAgIC Lab reputation as the place where the robot magic happens, and it's all about making discoveries that'll rock the research world and make life better for everyone.

20231003

Congratulations to MAgIC Lab for one paper accepted on CAC2023.

The paper entitled 'Adaptive Output Regulation for Uncertain Nonlinear Systems: an Additive Decomposition-based Method', has been accepted and will be presented on CAC2023 conference held in Chongqing.

20230712

Congratulations to MAgIC Lab for one paper accepted on CDC2023.

The paper entitled 'Iterative Learning Embedded Model Reference Adaptive Control for Perturbed Nonlinear MIMO Systems', has been accepted and will be presented on CDC2023 conference held in Singapore.

20230708

Successful participation in the International Federation of Automatic Control World Congress (IFAC) 2023.

Attending the IFAC conference and delivering a presentation on stage was an incredibly enriching experience for us. The opportunity to connect with experts from different parts of the world and share the knowledge was truly invaluable. The IFAC conference provided a platform for us to showcase our research and work to a global audience. The feedback and discussions we received from fellow participants allowed us to refine our ideas and explore new perspectives. We are grateful for the opportunity and look forward to applying the insights gained to further contribute to the advancement of our field.

20230624

Congratulations to MAgIC lab undergraduate student Guanqi He on his graduation!

Guanqi He joined the MAgIC lab in 2021 and conducted research in output regulation under the supervision of Prof. Yang Wang. He graduated in June 2023 with the title of Outstanding Undergraduate Student of University of ShanghaiTech. Guanqi will go to Carnegie Mellon University to continue his research on control and robotics.

20230622

Congratulations to MAgIC Lab for one paper accepted on IROS2023

The papers entitled 'Exploring Learning-based Control Policy for Fish-like Robots in Altered Background Flows', have been accepted and will be presented on IROS2023 conference held in Detroit.

20230620

Second PhD student of MAgIC Lab !!!

After review by the Graduate School and approval by the school's admissions leadership team, Lin will be admitted as a PhD student by Prof. Yang Wang. In the next few years, he will study academic research related to Fish-like Robots, Flow Control, Data-driven Control.

20230618

Congratulations to MAgIC lab undergraduate student Qinxiao Ma for being awarded as an outstanding graduate

Qinxiao Ma joined the MAgIC lab in 2022 and conducted research in MRAC and Flapping-wing aircraft under the supervision of Prof. Yang Wang. He graduated in June 2023 with the title of Outstanding Undergraduate Student of University of ShanghaiTech. Qinxiao Ma will continue his research on flapping-wing aircraft control and other robotics projects in Prof. Yang Wang's research groop.

20230618

Congratulations to MAgIC lab graduate student Yuqi Pan on his graduation

Yuqi Pan joined the MAgIC lab in 2020 and conducted research in formation control under the supervision of Prof. Yang Wang. He graduated in June 2023. Yuqi Pan will work as a R&D engineer in Shanghai Zhierxing Technology Co., Ltd.

20230531

Congratulations to Binglin He for ACC 2023 paper acceptance

The papers entitled 'Decentralized Formation Control With Prescribed Distance Constraints and Shape Uniqueness' was accepted and presented on this year's ACC conference held in San Diego, CA, USA. Our research focuses on the formation problem in Multi-Agent Systems (MAS), where we proposed a novel distributed control protocol that ensures the uniqueness of the formation and limits the distance between neighboring agents within a predetermined range. The proposed control law is decentralized, meaning each agent only utilizes local information related to its neighboring agents to calculate its control input. At the conference, Binglin He gave a presentation and participated in the poster presentation session.

20230304

Congratulations to MAgIC Lab for three papers accepted on IFAC WC2023

The papers entitled 'Robust Output Regulation for Uncertain Linear Minimum Phase Systems under Unknown Control Direction', 'Iteration Learning Control for Uncertain Nonlinear Systems with Time Varying Output Constraint' and 'Robust Output Regulation for Uncertain Discrete-Time LTI Systems under the Effect of a Sinusoidal Disturbance' have been accepted and will be presented on IFAC WC2023 conference held in Yokohama.

20230120

Congratulations to MAgIC Lab for paper accepted on ACC 2023

The paper entitled 'Decentralized Formation Control With Prescribed Distance Constraints and Shape Uniqueness' has been accepted and will be presented on ACC 2023 conference held in San Diego, California, USA.

20221206

Congratulations to MAgIC Lab for two paper acceptances on CDC2022

The paper entitled 'Unknown Input Observer-based Output Regulation for Uncertain Minimum Phase Linear Systems Affected by a Periodic Disturbance' and 'Parameter-dependent Input Normalization: Direct-Adaptive control with Uncertain Control Direction' was accepted and presented on this year's CDC conference held in Cancun. The first work proposes on a new framework that combines an internal mode-based output regulator and a sliding-mode based observer to solve the disturbance rejection problem for a highly uncertain system. The later one removes the critical assumption on high frequency gain in the classic MRAC while preserves a good transient performance. Both results received attention and discussion from attendee.

20221125

Congratulations to Yizhou Gong and Binglin He for CAC 2022 paper acceptance.

'Unknown Input Observer-based Finite-time Frequency Estimator for a Biased Multi-sinusoidal Signal' and 'Modular Design of Combined Integrating Controller Based on OPTO22' written by Yizhou Gong and Binglin He were, respectively, accepted by CAC 2022. They attended the meeting successfully, together with their posters put up at presence.

20220608

Congratulations to Guanqi He for ACC 2022 paper acceptance.

'Switching-based Adaptive Output Regulation for Uncertain Systems Affected by a Periodic Disturbance' written by Guanqi He is accepted by ACC 2022.

20220511

First PhD student of MAgIC Lab.

Heng Zhang will be admitted as a PhD student of Professor Wang Yang after the review of the Graduate School and the approval and publicity of the school's enrollment leading group. He will study the academic research related to data-driven control, iterative learning control and UAV in the following years.

20210514

Congratulations to Heng Zhang for IEEE DDCLS 2021 paper acceptance.

'Adaptive neural network control of an uncertain robotic manipulator with input constraint and external disturbance' written by Heng Zhang is accepted by DDCLS'2021. He made an oral report in Suzhou. Prof. Yang Wang and Heng Zhang attended the meeting together.