Litcius/Paper detail

Cloud-Based Time-Varying Formation Predictive Control of Multi-Agent Systems With Random Communication Constraints and Quantized Signals

Zhong‐Hua Pang, Changbing Zheng, Chao Li, Shuai Liu, Qing‐Long Han

2021IEEE Transactions on Circuits & Systems II Express Briefs96 citationsDOI

Abstract

This brief is concerned with the time-varying formation problem for second-order networked multi-agent systems, which are subject to random communication delays and packet dropouts in the sensor-to-controller and controller-to-actuator channels of each agent. A cloud-based time-varying formation predictive control method with control input quantization is proposed to actively compensate for those random communication constraints. A definition of quantized time-varying formation is given, and then a necessary and sufficient condition to achieve the quantized time-varying formation as well as the stability of the resulting closed-loop system is obtained, which is independent of random communication constraints and quantization errors. Simulation results are provided to verify the effectiveness of the proposed method.

Topics & Concepts

Control theory (sociology)Quantization (signal processing)Model predictive controlNetwork packetComputer scienceActuatorDiscrete time and continuous timeController (irrigation)Stability (learning theory)Multi-agent systemControl systemCloud computingControl (management)MathematicsAlgorithmEngineeringArtificial intelligenceMachine learningOperating systemStatisticsElectrical engineeringAgronomyComputer networkBiologyDistributed Control Multi-Agent SystemsEnergy Efficient Wireless Sensor NetworksAdvanced Control Systems Optimization