The proposed "perceive-and-optimize" (P&O) strategy can be extended to handle more complex multi-input multi-output specifications for dynamic ancillary services by adapting the parametric transfer function matrix to accommodate a wider range of control behaviors. This extension involves structurally encoding a set of diverse dynamic ancillary service products, each with its own parametric structure, to define a comprehensive desired response behavior. By superimposing these transfer functions, the overall transfer function matrix can capture the complex interactions between different control objectives, enabling the system to provide a more sophisticated and versatile response to grid dynamics. Additionally, the optimization process can be enhanced to consider the interdependencies between multiple input and output variables, ensuring that the closed-loop performance optimally addresses the system's dynamic requirements.