Distributed cooperative learning for a group of uncertain systems via output feedback and neural networks

DOI10.1016/j.jfranklin.2018.01.030zbMath1393.93004OpenAlexW2791723893MaRDI QIDQ1661748

Wu Ai, Weisheng Chen, Shaoyong Hua

Publication date: 17 August 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.2018.01.030

zbMATH Keywords

cooperative learningadaptive neural network (NN) output-feedback controluncertain nonlinear multi-agent systems (MASs)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Feedback control (93B52) Neural networks for/in biological studies, artificial life and related topics (92B20) Control/observation systems with incomplete information (93C41) Adaptive control/observation systems (93C40) Decentralized systems (93A14)

Related Items (2)

Observer-based adaptive neural inverse optimal consensus control of nonlinear multiagent systems ⋮ Neural-network-based consensus of multiple Euler-Lagrange systems with an event-triggered mechanism

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Global finite-time adaptive stabilization for nonlinear systems with multiple unknown control directions
• Adaptive fuzzy control for perturbed strict-feedback nonlinear systems with predefined tracking accuracy
• Adaptive cooperative tracking control of higher-order nonlinear systems with unknown dynamics
• Consensus-based distributed cooperative learning control for a group of discrete-time nonlinear multi-agent systems using neural networks
• Adaptive fuzzy decentralized tracking fault-tolerant control for stochastic nonlinear large-scale systems with unmodeled dynamics
• Distributed coordination of multi-agent networks. Emergent problems, models, and issues.
• Distributed adaptive control for synchronization of unknown nonlinear networked systems
• Persistency of excitation and performance of deterministic learning
• Chaos synchronization between single and double wells Duffing-Van der Pol oscillators using active control
• Learning from neural control of nonlinear systems in normal form
• Adaptive neural control for a class of switched nonlinear systems
• Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties
• Adaptive nonlinear control without overparametrization
• The matrix of maximum out forests of a digraph and its applications
• A zero-gradient-sum algorithm for distributed cooperative learning using a feedforward neural network with random weights
• Adaptive fuzzy control for a class of uncertain nonaffine nonlinear systems
• Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs
• Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
• Distributed Source Localization of Multi-Agent Systems With Bearing Angle Measurements
• Distributed Cooperative Adaptive Identification and Control for a Group of Continuous-Time Systems With a Cooperative PE Condition via Consensus
• Robust output tracking for non-linear systems
• Robust tracking control of robots by a linear feedback law
• Output feedback stabilization of fully linearizable systems
• Relaxed persistency of excitation for uniform asymptotic stability
• Consensus and Cooperation in Networked Multi-Agent Systems
• Persistency of Excitation in Identification Using Radial Basis Function Approximants
• Stable adaptive neural control scheme for nonlinear systems
• Distributed Subgradient Methods for Multi-Agent Optimization
• Adaptive output feedback control of nonlinear systems using neural networks

This page was built for publication: Distributed cooperative learning for a group of uncertain systems via output feedback and neural networks