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MFGB-DBSCAN: a multi-factor granular ball-based density clustering algorithm with adaptive parameter optimization
Experiments show that MFGB-DBSCAN achieves competitive clustering accuracy and efficiency compared with representative baselines, particularly on datasets with varying densities and complex structures.
Data‐Driven Predictive Control for Nonlinear Systems: A Structured Prediction Approach With Kernelized Innovation Feedback
A novel nonlinear DDPC framework via a structured OP and a kernelized innovation‐based feedback mechanism is proposed, which yields lower prediction errors and better tracking performance than the existing linear and nonlinear DDPC methods.