Quantized iterative learning control for nonlinear multi-agent systems with limited information communication and input saturation

Nonlinear systems in control theory (93C10) Digital control/observation systems (93C62) Multi-agent systems (93A16) Iterative learning control (93B47)

Cites Work

Unnamed Item
Asynchronous event-triggered control of multi-agent systems with Sigma-Delta quantizer and packet losses
Global adaptive neural control for strict-feedback time-delay systems with predefined output accuracy
Iterative learning control design based on composite energy function with input saturation
Gossip consensus algorithms via quantized communication
\(\mathcal{H}_\infty\) consensus control of multi-agent systems under attacks with partially unknown Markovian probabilities
Distributed fuzzy adaptive consensus for high-order multi-agent systems with an imprecise communication topology structure
Consensus of discrete-time multi-agent systems over packet dropouts channels
Sampled-data-based event-triggered secure bipartite tracking consensus of linear multi-agent systems under DoS attacks
Consensus-based iterative learning of heterogeneous agents with application to distributed optimization
Adaptive bipartite output consensus for heterogeneous multi-agent systems with quantized information: a fixed-time approach
Iterative learning control for fractional-order multi-agent systems
Continuous-time and sampled-data-based average consensus with logarithmic quantizers
Containment control of multi-agent systems with input saturation and unknown leader inputs
Sigma-delta (/spl Sigma//spl Delta/) quantization and finite frames
Event‐Triggered Iterative Learning Control for Multi‐Agent Systems with Quantization
Semi-Global Leader-Following Consensus of Linear Multi-Agent Systems With Input Saturation via Low Gain Feedback
A Barbalat-Like Lemma with Its Application to Learning Control
Effects of strategy switching and network topology on decision-making in multi-agent systems
Distributed event-triggered consensus for multi-agent systems with quantisation
Distributed Consensus With Limited Communication Data Rate
Quantized Consensus by Means of Gossip Algorithm
Differential equations with discontinuous right-hand side

This page was built for publication: Quantized iterative learning control for nonlinear multi-agent systems with limited information communication and input saturation