Networked Predictive Control: A Survey

View at publisher
Authors: Zhong‐Hua Pang, Tong Mu, Yi Yu, Haibin Guo, Guo-Ping Liu, Qing-Long Han
Cited by: 7
References: 149

Abstract

Networked predictive control (NPC) has gained significant attention in recent years for its ability to effectively and actively address communication constraints in networked control systems (NCSs), such as network-induced delays, packet dropouts, and packet disorders. Despite significant advancements, the increasing complexity and dynamism of network environments, along with the growing complexity of systems, pose new challenges for NPC. These challenges include difficulties in system modeling, cyber attacks, component faults, limited network bandwidth, and the necessity for distributed collaboration. This survey aims to provide a comprehensive review of NPC strategies. It begins with a summary of the primary challenges faced by NCSs, followed by an introduction to the control structure and core concepts of NPC. The survey then discusses several typical NPC schemes and examines their extensions in the areas of secure control, fault-tolerant control, distributed coordinated control, and event-triggered control. Moreover, it reviews notable works that have implemented these schemes. Finally, the survey concludes by exploring typical applications of NPC schemes and highlighting several challenging issues that could guide future research efforts.

Fields of Study & Subjects

Advanced Control Systems Optimization Stability and Control of Uncertain Systems Fault Detection and Control Systems

Publication details

Journal / source
IEEE/CAA Journal of Automatica Sinica
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
13
Issue
1
Pages
3–20
Publication date
1 January 2026