Iterative learning control design for multiagent systems based on 2D models

DOI10.1134/S000511791806005XzbMath1398.93022OpenAlexW2808669534WikidataQ129674144 ScholiaQ129674144MaRDI QIDQ1792523

P. V. Pakshin, Mikhail A. Emelianov, Julia P. Emelianova

Publication date: 12 October 2018

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s000511791806005x

zbMATH Keywords

stabilityiterative learning controlconsensus2D systemsvector Lyapunov functionnetworked controlrepetitive processes

Mathematics Subject Classification ID

Lyapunov and storage functions (93D30) Design techniques (robust design, computer-aided design, etc.) (93B51) Decentralized systems (93A14) Stochastic learning and adaptive control (93E35)

Related Items (3)

Iterative learning control of a multiagent system under random perturbations ⋮ Performance index based observer-type iterative learning control for consensus tracking of uncertain nonlinear fractional-order multiagent systems ⋮ Iterative learning control of stochastic multi-agent systems with variable reference trajectory and topology

Uses Software

• Matlab

Cites Work

• Unnamed Item
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• Control systems theory and applications for linear repetitive processes.
• Vector Lyapunov functions for stability and stabilization of differential repetitive processes
• Stability of nonlinear discrete repetitive processes with Markovian switching
• Iterative learning control. Robustness and monotonic convergence for interval systems.
• Matrix Analysis
• Linear Matrix Inequalities in System and Control Theory
• Information Flow and Cooperative Control of Vehicle Formations

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