CCDC 2022
21-23 May

Keynotes

Prof. Anuradha Annaswamy, Massachusetts Institute of Technology, USA


Prof. Qionghai Dai, Tsinghua University, China


Brain-machine interfaces and neuro-modulation: Near-infrared light approach

Prof. Keum-Shik Hong, Pusan National University

Pusan National University, Republic of Korea

Abstract

The brain-machine interface (BMI) provides a means of controlling machines and robots for locked-in people by interpreting the neuronal signals from the brain directly. Recently, researchers successfully trained people with head-implanted microelectrodes to control robotic and prosthetic arms. However, noninvasive methods are preferable to avoid the inherent medical risks in microelectrode implantation. Also, control engineers can find more roles in noninvasive methods. First, the current BCI technologies are briefly overviewed: Various imaging techniques, including invasive and noninvasive methods, are discussed. Second, noninvasive neuromodulation techniques for the elderly will be reviewed. The imaging devices (fNIRS, EEG, and fMRI) are sensors, while the stimulation devices (tDCS/tACS and rTMS) are actuators. Notably, functional near-infrared spectroscopy (fNIRS) imaging will be the main focus, an emerging noninvasive brain imaging technique that measures the hemodynamic response of the cerebral cortex using near-infrared light (650-1,000 nm). The advantages of fNIRS are its low cost, portability, and excellent temporal resolution than fMRI, as a plausible solution to real-time imaging. Recent research shows a great potential of fNIRS as a tool for BMI. Finally, to discuss the role of control engineers in the coming elderly society, a feedback concept of brain therapy is introduced: The advancements made to date for the patients with mild cognitive impairment are discussed. I will introduce some preliminary results on feedback stimulation using tES.

Biography

Keum-Shik Hong received his B.S. degree from Seoul National University, M.S. degree from Columbia University, and PhD from the University of Illinois at Urbana-Champaign all in mechanical engineering in 1979, 1987, and 1991, respectively. He is a professor in the School of Mechanical Engineering, Pusan National University, Korea, since 1993. He was Editor-in-Chief of the Journal of Mechanical Science and Technology, and he is serving as Editor-in-Chief of the International Journal of Control, Automation, and Systems. Dr. Hong is an IEEE Fellow, a Fellow of the Korean Academy of Science and Technology, a Member of the National Academy of Engineering of Korea. He was the President of Asian Control Association (2020-2021). His research interests include functional near-infrared spectroscopy, brain-computer interfaces, robotics, and adaptive control.


Motion Control for Industrial Positioning Devices with Strain Wave Gearing: Basics, Applications, and Beyond

Prof. Makoto Iwasaki

Nagoya Institute of Technology, Japan

Abstract

The keynote speech presents practical motion controller design approaches for precision positioning devices including strain wave gearing, e.g. industrial multi-axis robots, precision rotation stages, etc. Since HarmonicDrive® gears (HDGs), a typical strain wave gearing, inherently possess nonlinear properties known as Angular Transmission Errors (ATEs) due to structural errors and flexibility in the mechanisms, the ideal positioning accuracy corresponding to the apparent resolution cannot be essentially attained at the output of gearing in the devices. In addition, mechanisms with HDGs generally excite resonant vibrations due to the periodical disturbance by ATEs, especially in the condition that the frequency of synchronous components of ATE corresponds to the critical mechanical resonant frequency. The speech, therefore, focuses on the motion controller design techniques to improve the performance deteriorations in positioning accuracy and vibration suppression. In the compensator design, under the assumption that the accurate mathematical models for ATE can be obtained, model-based feedforward as well as robust feedback control approaches have been introduced to improve the positioning performance, considering together with sensor allocations in the mechanisms. The proposed approaches have been applied to precision motion control of actual devices as servo actuators, and verified through numerical simulations and experiments under the various collaborative research/development activities with industries.

Biography

Makoto Iwasaki received Dr. Eng. degrees in electrical and computer engineering from Nagoya Institute of Technology, Nagoya, Japan, in 1991. Since 1991, he has been with Nagoya Institute of Technology, where he is currently a Professor at the Department of Electrical and Mechanical Engineering.

As professional contributions of the IEEE, he has participated in various organizing services, such as, a Management Committee member of IEEE/ASME TMech (Secretary in 2016 and Treasurer in 2017), a Co-Editors-in-Chief for IEEE Transactions on Industrial Electronics since 2016, a Vice President for Planning and Development in term of 2018 to 2021, etc. He is IEEE fellow class 2015 for "contributions to fast and precise positioning in motion controller design".

He has received many academic, foundation, and government awards, like the Best Paper Award of Trans of IEE Japan in 2013, the Technical Development Award of IEE Japan in 2017, the Nagamori Awards in 2017, the Ichimura Prize in Industry for Excellent Achievement of Ichimura Foundation for New Technology in 2018, the Technology Award of the Japan Society for Precision Engineering in 2018, and the Commendation for Science and Technology by the Japanese Minister of Education in 2019, respectively. He is also a fellow of IEE Japan, and a member of Science Council of Japan.

His current research interests are the applications of control theories to linear/nonlinear modeling and precision positioning, through various collaborative research activities with industries.


Prof. Mrdjan Jankovic

Ford Research and Advanced Engineering, USA

Biography

Mrdjan Jankovic received his undergraduate engineering degree from Belgrade University in 1987 and doctoral degree from Washington University, St. Louis in 1992. He held postdoctoral positions with Washington University and UC Santa Barbara, before joining Ford in 1995. He is currently a Senior Technical Leader at Ford Research, working on development of control technologies for powertrain and driver assist applications.

Dr.Jankovic coauthored one book, four book chapters, and more than 170 technical papers and internal reports. He is a co-inventor on more than 80 US patents, with more than 20 used in Ford products sold worldwide.

He received AACC Control Engineering Practice Award, IEEE Control Systems Technology Award, Ford’s prestigious Dr. Haren Gandhi Research and Innovation Award, and best paper awards from IEEE, SAE, and AVEC.

Dr.Jankovic is a Fellow of the IEEE and a member of the National Academy of Engineering.