Abstract
Cyber-physical systems for robot control integrate the computing units and physical devices, which are real-time systems with periodic events. This work focuses on CPS task scheduling in order to solve the problem of slow response and packet loss caused by the interaction between each service. The two-level fuzzy feedback scheduling scheme is designed to adjust the task priority and period according to the combined effects of the response time and packet loss. Empirical results verify the rationality of the cyber-physical system architecture for robot control and illustrate the feasibility of the fuzzy feedback scheduling method.
Highlights
Cyber-physical systems (CPSs) are integrations of the physical world, computation, communication, and control designs [1]
Many cyber-physical systems are equipped with distributed computing units that communicate with each other through the network [2]
All these systems embody the features of CPS like distributed computing
Summary
Cyber-physical systems (CPSs) are integrations of the physical world, computation, communication, and control designs [1]. Many cyber-physical systems are equipped with distributed computing units that communicate with each other through the network [2]. As [3, 4] propose, application architecture, control technique, and resource allocation are important research topics in CPSs. One representative CPSs application architecture is stated in [5]. One representative CPSs application architecture is stated in [5] Another application of CPSs for neutrally controlled artificial legs is put forward in [6]. Reference [7] outlines the architecture of passive control CPSs. Reference [7] outlines the architecture of passive control CPSs All these systems embody the features of CPS like distributed computing
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