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Adaptive Neural Control for Nonlinear Systems by uday.math is a document available to read on EtoBox.
This study addresses adaptive neural finite-time control for uncertain switched nonlinear systems affected by sensor hysteresis and unknown actuator dead zones. It employs radial basis function neural networks and backstepping methods to develop a control strategy that ensures transient performance despite the challenges posed by unavailable actual system states. The effectiveness of the proposed approach is validated through simulations, highlighting its practical relevance in real-world applications.
- Author
- uday.math
- Language
- EN