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Comments on "Discrete-time adaptive backstepping nonlinear control via high-order neural networks"
1Department of Applied Mathematics, Xidian University, Xi'an 710071, China. wshchen@126.com
IEEE Transactions on Neural Networks
|April 2, 2009
Summary
This comment identifies errors in a control algorithm paper, showing its main results are not generally valid. However, corrected versions may apply to simpler systems.
Area of Science:
- Control Systems Engineering
- Applied Mathematics
Background:
- The original paper presented a novel control algorithm.
- The algorithm's general applicability was claimed.
Discussion:
- This comment highlights fundamental flaws in the original paper's main results.
- The analysis demonstrates that the proposed control strategy is not universally applicable as stated.
Key Insights:
- The core findings of the referenced paper are shown to be invalid under general conditions.
- Specific errors in the methodology or assumptions are identified.
Outlook:
- Corrections to the control algorithm may allow its application in simplified scenarios.
- Further research is needed to validate modified algorithms for specific system types.
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