Adaptive Control System for Objects with Dynamically Varying Parameters

The paper presents an adaptive control system designed to effectively regulate objects with dynamically varying parameters. Objects with continuously changing properties pose significant challenges for conventional control techniques and often lead to suboptimal performance or even system instability. To address this issue, the proposed adaptive control system leverages advanced algorithms to continuously estimate and adapt to the changing parameters of the controlled object. The system incorporates a parameter identification module that employs recursive estimation techniques to accurately estimate dynamic variations. The robust adaptive control algorithm is then utilized to provide real-time adjustments to control inputs ensuring stability and optimal performance of the controlled system in the face of parameter variations. The effectiveness of the proposed system is demonstrated through simulation results, where it outperforms conventional control approaches in terms of stability and robustness. The research contributes to the field of adaptive control by providing a practical solution to the efficient regulation of objects with dynamically varying parameters.