Finite‐level uniformly quantized learning control with random data dropouts

Cites Work

Distributed consensus over digital networks with limited bandwidth and time-varying topologies
Asymptotic stabilization of continuous-time linear systems with quantized state feedback
Iterative learning control for a class of nonlinear systems with random packet losses
Consensus control via iterative learning for distributed parameter models multi-agent systems with time-delay
Optimal iterative learning control design for multi-agent systems consensus tracking
An iterative learning control design approach for networked control systems with data dropouts
Stability and Performance Analysis of Spatially Invariant Systems with Networked Communication
Distributed Average Consensus With Dithered Quantization
Stability analysis of quantized iterative learning control systems using lifting representation
A framework of iterative learning control under random data dropouts: Mean square and almost sure convergence
Nonrepetitive trajectory tracking for nonlinear autonomous agents with asymmetric output constraints using parametric iterative learning control
Zero-error convergence of iterative learning control using quantized error information
Averaging Techniques for Balancing Learning and Tracking Abilities Over Fading Channels
Quantisation compensated data-driven iterative learning control for nonlinear systems
Noisy-Output-Based Direct Learning Tracking Control With Markov Nonuniform Trial Lengths Using Adaptive Gains
Tracking Control of Nonlinear Networked and Quantized Control Systems With Communication Delays
Iterative learning control for uncertain nonlinear networked control systems with random packet dropout
Coding scheme based on spherical polar coordinate for control over packet erasure channel
Finite time asymmetric bipartite consensus for multi‐agent systems based on iterative learning control

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