Official website: www.isie2021.org
SS15 : Motion Control and Robust Control for Robotics and Manipulators
Ligang Wu, Harbin Institute of Technology, P.R. China
Jianxing Liu, Harbin Institute of Technology, P.R. China
Weiran Yao, Harbin Institute of Technology, P.R. China
Guanghui Sun, Harbin Institute of Technology, P.R. China
Jose Ignacio LEON GALVAN, Universidad de Sevilla, Spain
In recent decades, robotics have greatly promoted the transformation and upgrading of equipment manufacturing, medical systems, service and other industries. Especially in aerospace, military, disaster relief, extreme environment operation and other special scenes, robotics have an irreplaceable position. In the applications of robots, the robustness, safety and efficiency of motion control system are still an open problem, and the motion control and robust control have always been a hot topic. This special session focuses on (but it is not limited to) the robotics motion control and robust control with multi-input-multi-output, high nonlinearity, strong coupling, and uncertainties including parameter perturbation, external interference and unmodeled dynamics, among others.
Motion control and motion planning
Robust control for robotics and manipulators
Neural network for robotics and manipulators
Sliding mode control for robotics and manipulators
Active disturbance rejection control for robotics and manipulators
Dexterous manipulation for robotics and manipulators
Model-based predictive control for robotics and manipulators
Adaptive control for robotics and manipulators
Deep learning in robotics and automation
Optimization and optimal control
SS20 : Reliability analysis and improvement methods for industrial systems
Zhongliang Li, Aix-Marseille University, France
Yue Zhao, Harbin Institute of Technology, P.R. China
Zhixue Zheng, University of Lorraine, France
Xiaojie Su, Chongqing University, P.R. China
Jianxing Liu, Harbin Institute of Technology, P.R. China
High reliability and durability is required for modern industrial systems in, for instance, transportation and energy sectors. These systems often show complex characteristics, such as high nonlinearity, multivariate, multiple space and time scales, and interconnect with other systems within complex hierarchical structures. These characteristics are challenging the traditional system analysis and control design methods and calling for new thinking and ideas to realize reliability analysis and improvement. Meanwhile, as the data measured in the industrial systems accumulated, the data-driven and machine learning methods could be considered as tools serving for system reliability analysis and improvement. All these methods can further be reinforced by combining emerging technologies including smart sensing, advanced wireless communications, cloud computing, digital twins. In this consideration, this special session is to gather recent new studies dealing with the reliability analysis and improvement methods for various industrial systems.
Advanced sensor technologies (smart sensors, micro-sensors, etc.)
Fault detection, diagnosis and analysis methods
Prognostics and health management (PHM) for industrial systems
Data-driven and partial data-driven system identification and analysis methods
Machine-learning based methods for reliability analysis and improvement
Online learning or self-adaptation methods for modelling, diagnosis and control
Fault tolerance/prevention control methods
Predictive maintenance
SS21 : Communication, Computing, Networking and Control of Cyber-Physical Systems
Shichao Liu, Carleton University, Canada
Yabin Gao, Harbin Institute of Technology, P.R. China
Chengwei Wu, Harbin Institute of Technology, P.R. China
Jianxing Liu, Harbin Institute of Technology, P.R. China
Theme: A cyber-physical system (CPS) is a large-scale networked control system in which a mechanism is controlled or monitored by computer-based algorithms. The CPS involves transdisciplinary approaches, merging theory of cybernetics, mechatronics, design and process science. In the last decade, common applications of CPS have typically fallen under sensor-based communication-enabled autonomous systems, such as smart grid and intelligent sensoring and control technologies in the application of industrial electronics. This special session solicits unpublished research work related to the latest challenges, technologies, solutions, methods and fundamentals pertaining to communication, computing, networking, control in CPSs.
Smart grid
Security and privacy
Intelligent transportation systems
Wireless sensor networks
Cooperation of multi-robot or multi vehicles
New sensing platform and senses computing
Advanced control and estimation techniques
Distributed computing
Internet of things
Networking and communication techniques
SS16 : Multilevel Converters: Topologies, Control and Modulation Techniques and Applications
Jose I. Leon, Universidad de Sevilla, Spain
Abraham Marquez, Universidad de Sevilla, Spain
Jon Xabier Balenciaga, Ingeteam Power Technology, Spain
Currently, medium-voltage high-power converters have become a mature and attractive solution for a wide variety of applications. The effort of the researchers and industry has leaded to a rapid development of different converter topologies, modulation techniques and control strategies. In addition, other interesting research topics such as the fault tolerant operation, reduction of power losses, optimized control strategies and new applications are also important. Topics of interest include, but are not limited to:
Converter topologies for adjustable speed drives
Converters for renewable energy applications
Converters for power quality and stability applications such as active filter, STATCOM, FACTS, etc
Converters for high-voltage DC transmission
Rectifiers and applications in regenerative systems
New modulation strategies and control strategies for high-power converters
Common mode voltage reduction methods in high-power inverters
Fault tolerant capability of high-power converters
High efficiency high-power converters
Multilevel multiphase converters
New medium-voltage high-power converter topologies
