Work

Event‐Triggered Fuzzy Predictive Control of Nonlinear Cyber‐Physical System Under Stochastic Communication Protocol Scheduling

Year: 2025

Type: article

Abstract: ABSTRACT The objective of this paper is to investigate an event‐triggered output feedback model predictive control (MPC) approach for the nonlinear cyber‐physical system (CPS) with a stochastic communication protocol (SCP) scheduling, which is approximated by an interval type‐2 Takagi–Sugeno (IT2 T‐S) fuzzy model. For the objective of enhancing network communication efficiency and relieving data collision caused by limited communication resource, an SCP protocol ruled by a Markov stochastic process is favourably utilized to govern the data scheduling of network. Based on an event‐triggered output feedback control law, a mode‐dependent IT2 fuzzy controller is formally designed, in which the feedback gain is optimized by solving an online constrained MPC optimization problem. By the utilization of defining the mean‐square quadratic boundedness (MSQB) for confining the augmented system state into a robust invariant set, both the feasibility of controller and closed‐loop stochastic stability are ensured and proved with the satisfaction of physical constraint in the mean‐square sense. Finally, we validate the effectiveness of the proposed method by a numerical simulation example.

Source: IET Control Theory and Applications

DOI: 10.1049/cth2.70025

Authors: Jun Wang, Chenghong Liao, Hongguang Pan

Institutions: Chongqing University of Posts and Telecommunications, Xi'an University of Science and Technology

Language: English

Topic: Stability and Control of Uncertain Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,300

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China