Adaptive output control of nonlinear systems with uncertain dead-zone nonlinearity

By Jing Zhou, C. Wen, Y. Zhang. IEEE Transactions on Automatic Control, 2006

405 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/d9a20a8e095dd07ddec8dd446fd1ccda3513e7f3

How researchers see this paper

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In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Mou Chen
4. Hongyi Li
5. Shuzhi Sam Ge
6. Qi Zhou
7. Gang Tao
8. Chengwei Wu

Citations in the corpus

• Adaptive Neural Network Tracking Control for Robotic Manipulators With Dead Zone (2019, methodology): “[54] presented a new method of designing an adaptive controller for uncertain systems subject”
• Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone (2016, background): “Adaptive output control schemes were developed for nonlinear systems with uncertain dead zone nonlinearity in [27] and for uncertain nonlinear systems with nonsymmetric dead zone input in [28].”
• Adaptive Fuzzy Output Feedback Tracking Backstepping Control of Strict-Feedback Nonlinear Systems With Unknown Dead Zones (2012, methodology): “Remark 2: Assumptions 1 and 2 are common restrictive conditions, which are adopted in the many publications, for example, see [21], [29], [37], and [38].”
• Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities (2010, methodology): “Adaptive control was proposed for uncertain systems with unknown deadzone nonlinearity by employing the deadzone inverse [27].”