Kernel-based Learning for Safe Tracking Control of Discrete-Time Unknown Systems with Incomplete State Observations
A kernel-based learning approach for safe tracking control of discrete-time unknown systems with partially observable states, integrating a state observer to achieve accurate trajectory tracking.