Abstract
In this article, we study the digital implementation of derivative-dependent control for consensus of stochastic multiagent systems. The consensus controllers that depend on the output and its derivatives are approximated as delayed sampled-data controllers. First, we consider the nth-order stochastic multiagent systems. Second, we consider PID control of the second-order stochastic multiagent systems. For the consensus analysis, we propose novel Lyapunov functionals to derive linear matrix inequalities that allow us to find an admissible sampling period. The efficiency of the presented approach is illustrated by numerical examples.
Original language | English |
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Pages (from-to) | 351-358 |
Number of pages | 8 |
Journal | IEEE Transactions on Automatic Control |
Volume | 67 |
Issue number | 1 |
DOIs | |
State | Published - 1 Jan 2022 |
Keywords
- Consensus
- linear matrix inequalities (LMIs)
- sampled-data control
- stochastic multiagent systems
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering