Please note that the ICIUS are open to all submissions to the areas in CPF. Please see CPF for fields of general submissions. However, some organizers also organize sessions with a more specific focus. New organized sessions are as follows:
- SS 1: Bio-Inspired Flapping Flight
- SS 2: Space Robotic Systems Modelling and Autonomous Control
- SS 3: Control of Distributed Parameter System and its Applications
- SS 4: Modeling, Control and Estimation in Unmanned Systems
Organizer: Hoon Cheol Park and Lung-Jieh Yang
Affliation：Konkuk University, Seoul, South Korea
Birds and insects inspire scientists and engineers to produce replicas of natural fliers. Still their performances cannot reach those of their counter parts in many ways. This session aims to collect papers that show the most recent efforts to further improve performance of flapping-wing MAVs and create bio-inspired designs. Topics of the papers may cover structural mechanism design, control strategy, dynamics /aerodynamics, and flight tests of flapping-wing MAVs.
Organizer: Liang Sun and Yao Zou
Affliation：University of Science and Technology Beijing, Beijing, China
Space robotic system has been widely found in a variety of areas, including aircraft flight dynamics and control, traffic management and controls, near space vehicle dynamics and control, space navigation and guidance, spacecraft cooperative and control, orbital servicing technology in space, and so on. With the development of the aeronautics and astronautics, space robotic systems with autonomous controllers and advanced sensors can improve the working efficient and systems performance. However, because of space robotic systems under various complicated conditions, the model nonlinearities, uncertainties, and various couplings in the complex space missions are the great challenges in the model-based autonomous controller design and analysis, thus there is great need for the advanced modelling and control approaches to enhance the system performances. In recent years, driven by practical applications and theoretical study, the research of dynamics and control on space robotic systems has become a very popular field and attracted more and more attention from scholars and researchers.
Organizer: Zhijia Zhao, Zi-Peng Wang, and Zhijie Liu
Affliation：Guangzhou University, China; University of Jinan, China; University of Science & Technology Beijing, China
Distributed parameter system (DPS) has been widely applied in a variety of areas, including fluid flows, military installation, quantum mechanics, oil drilling and production, chemical processes, aeronautic and astronautic industry and so on. The DPS (as opposed to the lumped parameter system) is a system whose state space is infinite-dimensional. Such systems are therefore also known as infinite-dimensional systems, which are described by a set of partial differential equations (PDEs). However, due to the infinite dimensional characteristic of the DPS, it makes control design and stability analysis more difficult and challenging. In recent years, motivated by practical application requirement and theoretical challenge, DPS research has become a very popular top and attracted more and more attention from scholars and researchers.
Organizer: Jinwen Hu, Zhao Xu, and Chunhui Zhao
Affliation：Northwestern Polytechnical University, China
The unmanned system appears in a wide variety of fields. It faces many challenges such as nonlinearity, uncertain and unknown disturbance, complex environment, multiplatform cooperation, network constraints, etc. These challenges require to develop novel theories and technologies in modeling, control and estimation. This invited session aims at bringing together different experts in the field of unmanned systems to discuss the latest research results in this area of modeling, control and estimation. Of particular interest are put on the development of novel technologies, such as data learning or artificial intelligence, machine learning or deep learning for developing the efficient solution of modeling, control and estimation in unmanned systems, as well as the application to, for instance, target tracking, sensor networks, aerospace, and localization.