Distributed Model Predictive Control for Tracking Consensus of Linear Multiagent Systems With Additive Disturbances and Time-Varying Communication Delays
| Autor: | Yanxu Su, Yang Shi, Changyin Sun |
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| Rok vydání: | 2019 |
| Předmět: |
Scheme (programming language)
Linear programming Computer science 020209 energy Multi-agent system 02 engineering and technology 021001 nanoscience & nanotechnology Computer Science Applications Human-Computer Interaction Constraint (information theory) Set (abstract data type) Model predictive control Terminal (electronics) Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering 0210 nano-technology computer Software Information Systems computer.programming_language |
| Zdroj: | IEEE transactions on cybernetics. 51(7) |
| ISSN: | 2168-2275 |
| Popis: | In this article, we investigate a robust distributed model predictive control (DMPC) scheme for tracking the consensus of linear multiagent systems (MASs) subject to additive disturbances and time-varying communication delays. A terminal constraint set is constructed by the Lyapunov–Razumikhin functional, and a corresponding local controller is designed for each agent. Furthermore, the sufficient conditions ensure that the terminal constraint set is provided in the form of linear matrix inequalities (LMIs). The recursive feasibility of the proposed algorithm is guaranteed based on the designed terminal constraint set, terminal cost, and local controller. Moreover, the closed-loop system is shown to be input-to-state stable (ISS). An illustrative example is given to verify the effectiveness of the presented approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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