Neural-networks-based adaptive quantized feedback tracking of uncertain nonlinear strict-feedback systems with unknown time delays
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Publication:2205469
DOI10.1016/j.jfranklin.2020.08.046zbMath1450.93025OpenAlexW3083710376MaRDI QIDQ2205469
Publication date: 20 October 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.08.046
stability analysismemoryless adaptive controlquantized-feedback-based adaptive delay-independent control
Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Adaptive control/observation systems (93C40) Delay control/observation systems (93C43)
Related Items (9)
Output feedback control with performance recovery analysis for a class of time-delay nonlinear systems ⋮ Distributed adaptive formation tracking using quantized feedback communication for networked mobile robots with unknown wheel slippage ⋮ Exponential output feedback control for a class of strict-feedback nonlinear systems with different time-delay states ⋮ Stabilization for a class of strict-feedback nonlinear systems via the PWM control law ⋮ Distributed containment control of networked uncertain MIMO pure‐feedback nonlinear systems via quantized state feedback and communication ⋮ Quantized feedback control strategy for tracking performance guarantee of nonholonomic mobile robots with uncertain nonlinear dynamics ⋮ Anti-disturbance dynamic inversion backstepping control for uncertain pure-feedback systems via multiple extended state observers ⋮ Quantized-states-based adaptive control against unknown slippage effects of uncertain mobile robots with input and state quantization ⋮ Adaptive neural asymptotic tracking control for a class of stochastic non-strict-feedback switched systems
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