Analysis and optimization design for time-varying complex dynamical systems under communication constraints

Special Session Chairs

•Yan Gao, Lecturer, Harbin University of Science and Technology, Harbin, China

Email: yangao@hrbust.edu.cn

•Hongxu Zhang, Associate Professor, Harbin University of Science and Technology, Harbin, China

Email: hongxuzhang@hrbust.edu.cn

•Chaoqing Jia, Associate Professor, Harbin University of Science and Technology, Harbin, China

Email: chaoqingjia@hrbust.edu.cn

Introduction

Recent years have seen a growing number of publications reporting on filtering, fault detection, optimized control and fusion for complex dynamical systems (CDSs) under the communication constraints. The communication constraints should be taken into account especially in the resource-constrained fields, such as limited bandwidth and energy. Meanwhile, the transmitting information needs to consume a certain amount of energy and limited energy budget cannot transmit all the necessary information that achieves the desirable filtering, fault detection, optimized control, fusion performance. There is no doubt that the estimation performance of considered CDSs could be degenerated due to the communication constraints. There is a clear need to develop innovative optimization algorithms to adequately tackle the communication constraints such that the filtering, fault detection, optimized control, fusion accuracy performance and filtering, fault detection, optimized control, fusion method design can be obtained with high reliability and resilience, which is beyond the capacity of the traditional filtering, fault detection, optimized control, fusion and information processing techniques.

Study on CDSs subject to communication constraints has already become vitally important for control engineers, mathematicians, and computer scientists to manage, analyze, interpret and synthesize functional information from real-world general systems, but there is still a lack of general theories and optimization algorithms for CDSs against the communication constraints.

Therefore, we expect that this invited session will serve as a forum to discuss new theoretical challenges, present new developments, and address nontrivial applications in filtering, fault detection, optimized control and fusion for CDSs. The main topics include, but are not limited to:

• Optimized state estimation and fusion of CDSs with communication delays

• Optimized resilient fusion of time-varying complex dynamical networks

• Resilient filtering and fusion over sensor networks

• Joint distributed state and fault estimation of CDSs with resource constraints

• Optimized state estimation with event-triggered communication mechanism