Abstract
AbstractThe adaptive inverse control technique effectively compensates for uncertain parameters in linear and nonlinear systems. The acquiescent characteristics of Neural networks based AIC for uncertain systems are ensuring much research interest in recent times. Researchers have attempted to solve the adaptive stabilization problem for a class of high-order nonlinear systems with inverse dynamics and nonlinear parameterization with partial state-feedback [1].
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