Decentralized adaptive synchronization with bounded identification errors for discrete-time nonlinear multi-agent systems with unknown parameters and unknown high-frequency gains

DOI10.1016/j.jfranklin.2017.11.017zbMath1380.93033OpenAlexW2770611149MaRDI QIDQ681204

Xinghong Zhang, Hongbin Ma

Publication date: 30 January 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.11.017

zbMATH Keywords

parameter estimationdecentralized adaptive controlcoupled hidden leader-follower multi-agent systems

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Decentralized systems (93A14) Agent technology and artificial intelligence (68T42)

Related Items (2)

Distributed adaptive containment control for a class of discrete-time nonlinear multi-agent systems with unknown parameters and control gains ⋮ Decentralised adaptive synchronisation of a class of discrete-time and nonlinearly parametrised coupled multi-agent systems

Cites Work

• The recursive least squares identification algorithm for a class of Wiener nonlinear systems
• Extended hybrid model reference adaptive control of piecewise affine systems
• The leader-following attitude control of multiple rigid spacecraft systems
• Consensus control for leader-following multi-agent systems with measurement noises
• Second-order leader-following consensus of nonlinear multi-agent systems via pinning control
• Output feedback adaptive control of a class of nonlinear discrete-time systems with unknown control directions
• Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form
• Parameter estimation for Hammerstein CARARMA systems based on the Newton iteration
• Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach
• Leader–follower synchronisation for networked Lagrangian systems with uncertainties: a learning approach
• Leader-following control of multiple nonholonomic systems over directed communication graphs
• Robust adaptive tracking of uncertain nonlinear systems by output feedback
• Adaptive control of Hammerstein–Wiener nonlinear systems
• An Indirect Adaptive Fuzzy Control Scheme for a Class of Nonlinear Systems
• Robust adaptive output feedback control of a class of discrete-time nonlinear systems with nonlinear uncertainties and unknown control directions
• Simultaneous Identification and Stabilization of Nonlinearly Parameterized Discrete-Time Systems by Nonlinear Least Squares Algorithm
• Robust Adaptive Controller Combined With a Linear Quadratic Regulator Based on Kalman Filtering
• Leader-Following Connectivity Preservation Rendezvous of Multiple Double Integrator Systems Based on Position Measurement Only
• Adaptive Consensus of Multi-Agent Systems With Unknown Identical Control Directions Based on A Novel Nussbaum-Type Function
• Decentralized Adaptive Synchronization of a Stochastic Discrete-Time Multiagent Dynamic Model
• On critical stability of discrete-time adaptive nonlinear control
• Partially Coupled Stochastic Gradient Identification Methods for Non-Uniformly Sampled Systems
• Adaptive control of passifiable linear systems with quantized measurements and bounded disturbances

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