Robust adaptive control for robotic systems with input time-varying delay using Hamiltonian method

2018 ◽  
Vol 5 (4) ◽  
pp. 852-859 ◽  
Author(s):  
Yong Ren ◽  
Weiwei Sun
Keyword(s):  
Adaptive Control ◽  
Robust Adaptive Control ◽  
Robotic Systems ◽  
Time Varying ◽  
Hamiltonian Method ◽  
Time Varying Delay ◽  
Input Time ◽  
Robust Adaptive ◽  
Varying Delay

Robust Adaptive Control of Robotic Manipulator with Input Time-varying Delay

2019 ◽  
Vol 17 (9) ◽  
pp. 2193-2202 ◽  
Author(s):  
Saim Ahmed ◽  
Haoping Wang ◽  
Muhammad Shamrooz Aslam ◽  
Imran Ghous ◽  
Irfan Qaisar
Keyword(s):  
Adaptive Control ◽  
Robotic Manipulator ◽  
Robust Adaptive Control ◽  
Time Varying ◽  
Time Varying Delay ◽  
Input Time ◽  
Robust Adaptive ◽  
Varying Delay

scholarly journals Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ruliang Wang ◽  
Jie Li ◽  
Shanshan Zhang ◽  
Dongmei Gao ◽  
Huanlong Sun
Keyword(s):  
Neural Control ◽  
Tracking Error ◽  
Robust Adaptive Control ◽  
Delay Systems ◽  
Time Varying ◽  
Triangular Form ◽  
Time Varying Delay ◽  
Robust Adaptive ◽  
Error Dynamics ◽  
Varying Delay

We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay systems in a block-triangular form. Based on a neural controller, it is obtained by constructing a quadratic-type Lyapunov-Krasovskii functional, which efficiently avoids the controller singularity. The proposed control guarantees that all closed-loop signals remain bounded, while the output tracking error dynamics converge to a neighborhood of the desired trajectories. The simulation results demonstrate the effectiveness of the proposed control scheme.

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