Consensus control for multi-agent systems with quasi-one-sided Lipschitz nonlinear dynamics via iterative learning algorithm
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Publication:1655127
DOI10.1007/S11071-017-4035-7zbMath1392.34022OpenAlexW2782268287MaRDI QIDQ1655127
Publication date: 9 August 2018
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-017-4035-7
nonlinear dynamicsiterative learning controlmulti-agent systemsconsensus protocolquasi-one-sided Lipschitz condition
Related Items (9)
Robust consensus of uncertain multi agent systems with one‐sided Lipschitz nonlinearity ⋮ Iterative learning consensus control for one‐sided Lipschitz multi‐agent systems ⋮ Consensus tracking via quantized iterative learning control for singular nonlinear multi-agent systems with state time-delay and initial state error ⋮ Leaderless adaptive output feedback consensus approach for one-sided Lipschitz multi-agents ⋮ Consensus tracking of fractional-order multiagent systems via fractional-order iterative learning control ⋮ Iterative learning control of multivariable uncertain nonlinear systems with nonrepetitive trajectory ⋮ Iterative learning based consensus control for distributed parameter type multi-agent differential inclusion systems with time-delay ⋮ Enhanced model-free adaptive iterative learning control with load disturbance and data dropout ⋮ A note on adaptive observer design method for one-sided Lipschitz systems
Cites Work
- Observer-based consensus tracking of multi-agent systems with one-sided Lipschitz nonlinearity
- An iterative learning approach to formation control of multi-agent systems
- On iterative learning algorithms for the formation control of nonlinear multi-agent systems
- An iterative learning control theory for a class of nonlinear dynamic systems
- On the P-type and Newton-type ILC schemes for dynamic systems with non-affine-in-input factors
- Coordination control of multi-agent systems with second-order nonlinear dynamics using fully distributed adaptive iterative learning
- Quantized insensitive consensus of Lipschitz nonlinear multi-agent systems using the incidence matrix
- Iterative learning control approach for a kind of heterogeneous multi-agent systems with distributed initial state learning
- Robust optimal design and convergence properties analysis of iterative learning control approaches
- Consensus controllability, observability and robust design for leader-following linear multi-agent systems
- Consensus tracking for higher-order multi-agent systems with switching directed topologies and occasionally missing control inputs
- Optimal iterative learning control design for multi-agent systems consensus tracking
- Stabilization of quasi-one-sided Lipschitz nonlinear systems
- Observers for one-sided Lipschitz non-linear systems
- High‐precision formation control of nonlinear multi‐agent systems with switching topologies: A learning approach
- A note on observer for one-sided Lipschitz non-linear systems
- Matrix Analysis
- An iterative learning controller with initial state learning
- Iterative learning control for quasi-one-sided Lipschitz non-linear systems
- Necessary and Sufficient Conditions for Consensusability of Linear Multi-Agent Systems
- Consensus Control of a Class of Lipschitz Nonlinear Systems With Input Delay
- Consensus Tracking of Multi-Agent Systems With Lipschitz-Type Node Dynamics and Switching Topologies
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