Robust Adaptive Control of Uncertain Nonlinear Systems in the Presence of Input Saturation and External Disturbance

By C. Wen, Jing Zhou, Zhitao Liu, H. Su. IEEE Transactions on Automatic Control, 2011

1,084 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/8565ca202de778e37f9a156c57fee6af4f1e9fde

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In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Mou Chen
4. Hongyi Li
5. Wei He
6. Qi Zhou
7. Guanghong Yang
8. Tie-shan Li

Citations in the corpus

• Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation (2016, background): “In [49], in the presence of input saturation and unknown external disturbance, two robust adaptive control algorithms are developed.”
• Hybrid Fuzzy Adaptive Output Feedback Control Design for Uncertain MIMO Nonlinear Systems With Time-Varying Delays and Input Saturation (2016, background): “From [30] and [39], uj can be approximately as the following smooth function:”
• Adaptive Trajectory Tracking Control of a Fully Actuated Surface Vessel With Asymmetrically Constrained Input and Output (2018, methodology): “In order to apply the backstepping technique, a new model is defined to describe the saturation nonlinearity similar to the method proposed in [21] and [24].”
• Adaptive Backstepping Stabilization of Nonlinear Uncertain Systems With Quantized Input Signal (2014, background): “Because of such advantages, research on adaptive control using backstepping technique has also received great attention, see for examples, [22]–[27].”
• Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems (2019, background): “Most practical systems normally operate under various constraints, due to, for instance, physical limitation, system performance requirement or security consideration [19], [36].”
• Composite Adaptive Fuzzy Output Feedback Control Design for Uncertain Nonlinear Strict-Feedback Systems With Input Saturation (2015, background): “According to [24] and [25], the saturation can be approximated by a smooth function defined as”
• Non-fragile saturation control of nonlinear positive Markov jump systems with time-varying delays (2019, background): “Some control approaches have been presented to deal with nonlinear saturation control issues such as fuzzy-scheduling control [35], robust adaptive control [36], adaptive fuzzy control [37], and other ones [38,39].”
• Adaptive Fuzzy Control of Nonlinear Systems With Unmodeled Dynamics and Input Saturation Using Small-Gain Approach (2017, methodology): “For the single input nonlinear systems with input constraint and external disturbance, an adaptive control scheme was presented in [50].”
• Adaptive Fuzzy Tracking Control Design for SISO Uncertain Nonstrict Feedback Nonlinear Systems (2016, methodology): “with the problem of saturation limits on the control signal, we can improve the proposed adaptive controllers with the input saturation control technique in [35] and [36].”
• Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone (2019, methodology): “[56] developed two new robust adaptive control approaches for the single-input uncertain nonlinear systems with the input saturation and unknown disturbance by adopting backstepping control method and a Nussbaum function.”
• Adaptive Postcapture Backstepping Control for Tumbling Tethered Space Robot–Target Combination (2016, methodology): “In [18], a robust adaptive control was proposed based on the backstepping technique and the special property of a hyperbolic tangent function and aNussbaum function are used to deal with the input saturation.”
• Robust Adaptive Fuzzy Tracking Control for Pure-Feedback Stochastic Nonlinear Systems With Input Constraints (2013, methodology): “Theoretically, the control methods proposed in [31], [32], [47], and [48] cannot be applied to solve the control problem of the more general systems (66) and (68).”
• Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation (2015, background): “…property of the tan h function and the sat function, we can see that the difference (cid:3)(v) is bounded which satisfies the following condition [5] : Consider the saturation characteristic and the corresponding approximation error, the uncertain nonlinear system (1) can be written as To…”