Recursive filtering ofmulti-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms
Affiliation(s): Business School, University of Shanghai for Science and Technology, Shanghai 200093, China; Shanghai Caoyang Vocational School, Shanghai 200333, China; School of Electrical and Electronic Engineering, Shanghai Institute of Technology, Shanghai 201418, China; School of Intelligent Emergency Management, University of Shanghai for Science and Technology, Shanghai 200093, China; less
Received: 2023-08-20
Accepted: 2024-02-23
Available online: 2024-02-23
Abstract
(CPSs) take on the characteristics of both multiple rates of information collection and processing and the dependency on information exchanges. The purpose of this paper is to develop a scheme that estimates both and system states for CPSs with . In cyberspace, the information transmission between the local joint filter and the sensors is governed by an adaptive event-triggered strategy. Furthermore, the desired parameters of joint filters are determined by a set of algebraic matrix equations in a recursive way, and a sufficient condition verifying the boundedness of filtering error covariance is found by resorting to some algebraic operation. A state fusion estimation scheme that uses local state estimation is proposed based on the covariance intersection (CI) based fusion conception. Lastly, an illustrative example demonstrates the effectiveness of the proposed adaptive event-triggered recursive filtering algorithm.