Traditional control strategies that rely solely on the current state information of buoy

which exhibit low energy capture efficiency. Moreover

variations in sea conditions and modeling errors lead to mismatches in the buoy model parameters

further diminishing the performance of the controller. To address these issues

a non-causal optimization strategy is proposed based on adaptive control. This strategy utilizes real-time system states and future excitation force information to design feedback and feed forward components

employing backward recursive calculations of gain coefficients to derive the optimal control law. By using dynamic buoy information as input

the adaptive strategy is designed to match hydrodynamic parameters online

thereby reducing energy loss caused by model mismatches. Simulation results demonstrate that

compared to the sub-optimal causal control strategy

the non-causal control strategy achieves the highest energy capture

effectively constrains system displacement and electromagnetic force

and ensures safe system operation. Furthermore

in the presence of model mismatches

the proposed adaptive strategy effectively restores controller performance

enhancing wave energy capture rates under mismatched conditions.