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
2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ruliang Wang ◽  
Jie Li ◽  
Shanshan Zhang ◽  
Dongmei Gao ◽  
Huanlong Sun

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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