Adaptive Neural Control of Uncertain MIMO Nonlinear Pure-Feedback Systems via Quantized State Feedback

Adaptive Neural Control of Uncertain MIMO Nonlinear Pure-Feedback Systems via Quantized State Feedback

We present an adaptive quantized state feedback tracking methodology for a class of uncertain multiple-input multiple-output (MIMO) nonlinear block-triangular pure-feedback systems with state quantizers. Uniform quantizers are considered to quantize all measurable state variables for feedback. Compa...

Full description

Bibliographic Details
Main Authors: Byung Mo Kim, Sung Jin Yoo
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Quantized state feedback control
neural networks
state quantization
MIMO nonlinear systems
pure-feedback form
Online Access:https://ieeexplore.ieee.org/document/9751057/

Internet

https://ieeexplore.ieee.org/document/9751057/

Similar Items