Abstract:A robust adaptive tracker is newly proposed for a class of nonlinear systems with input nonlinearities and uncertainties. Because the upper bounds of input nonlinearities and uncertainties are difficult to be acquired, the adaptive control integrated with sliding mode control (SMC) and radial basis function neural network (RBFNN) are utilized to cope with these undesired problems and effectively complete the robust tracker design. The main contributions are concluded as follows: (1) new sufficient conditions a… Show more
“…11, it can be observed that ASTC has better tracking effect when compared with the proposed tracking controller in ref. [36]. Furthermore, ASTC is able to eliminate the undesired chattering effectively with less control inputs in Fig.…”
Section: Example 3: System With Complex Nonlinearitymentioning
confidence: 95%
“…• Case 2: Single-link robot system In this case, a single-link robotic arm in ref. [36] is utilized to verify the effectiveness and validity of ASTC. For ease of comparison studies, both the desired joint trajectory and the complex actuator nonlinearity existing in the robot in ref.…”
Section: Example 3: System With Complex Nonlinearitymentioning
confidence: 99%
“…For ease of comparison studies, both the desired joint trajectory and the complex actuator nonlinearity existing in the robot in ref. [36] are utilized for simulation, which are described as Fig. 11, it can be observed that ASTC has better tracking effect when compared with the proposed tracking controller in ref.…”
Section: Example 3: System With Complex Nonlinearitymentioning
confidence: 99%
“…The trajectories of the pre-specified reference r 1 (t) and displacement y 1 (t) by using the proposed tracking controller [36].…”
Section: Figure 11 the Trajectories Of X R (T) And X 1 (T) Insetmentioning
confidence: 99%
“…The control input responses of the proposed continuous tracking controller [36]. (b) The control input responses of adaptive sliding tracking control.…”
This study is concerned with the tracking control problem for nonlinear uncertain robotic systems in the presence of unknown actuator nonlinearities. A novel adaptive sliding controller is designed based on a robust disturbance observer without any prior knowledge of actuator nonlinearities and system dynamics. The proposed control strategy can guarantee that the tracking error eventually converges to an arbitrarily small neighborhood of zero. Simulation results are included to demonstrate the effectiveness and superiority of the proposed strategy.
“…11, it can be observed that ASTC has better tracking effect when compared with the proposed tracking controller in ref. [36]. Furthermore, ASTC is able to eliminate the undesired chattering effectively with less control inputs in Fig.…”
Section: Example 3: System With Complex Nonlinearitymentioning
confidence: 95%
“…• Case 2: Single-link robot system In this case, a single-link robotic arm in ref. [36] is utilized to verify the effectiveness and validity of ASTC. For ease of comparison studies, both the desired joint trajectory and the complex actuator nonlinearity existing in the robot in ref.…”
Section: Example 3: System With Complex Nonlinearitymentioning
confidence: 99%
“…For ease of comparison studies, both the desired joint trajectory and the complex actuator nonlinearity existing in the robot in ref. [36] are utilized for simulation, which are described as Fig. 11, it can be observed that ASTC has better tracking effect when compared with the proposed tracking controller in ref.…”
Section: Example 3: System With Complex Nonlinearitymentioning
confidence: 99%
“…The trajectories of the pre-specified reference r 1 (t) and displacement y 1 (t) by using the proposed tracking controller [36].…”
Section: Figure 11 the Trajectories Of X R (T) And X 1 (T) Insetmentioning
confidence: 99%
“…The control input responses of the proposed continuous tracking controller [36]. (b) The control input responses of adaptive sliding tracking control.…”
This study is concerned with the tracking control problem for nonlinear uncertain robotic systems in the presence of unknown actuator nonlinearities. A novel adaptive sliding controller is designed based on a robust disturbance observer without any prior knowledge of actuator nonlinearities and system dynamics. The proposed control strategy can guarantee that the tracking error eventually converges to an arbitrarily small neighborhood of zero. Simulation results are included to demonstrate the effectiveness and superiority of the proposed strategy.
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