Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  seeks to bound the effects of disturbances on the output by considering an output-boundary regulation (OBR) problem. If  a priori  (preview) information of the disturbance is available, feedforward approaches can overcome the limits of feedback methods for nonminimum-phase systems. The main contribution of this paper is to develop a feedforward-based control approach for nonminimum-phase systems when the disturbance is not known  a priori . Furthermore, the performance of the proposed approach is quantified by providing the acceptable disturbance for a given output-error bound. Simulation results for a benchmark flexible-structure example are presented to show substantial performance improvement with the proposed optimal OBR approach compared with dc-gain-based or step-input-based approaches.
['Arom Boekfah', 'Santosh Devasia']
I am writing a research paper on a idea Output-Boundary Regulation Using Event-Based Feedforward for Nonminimum-Phase Systems
[{"from": "human", "value": "I am writing a research paper on a idea Output-Boundary Regulation Using Event-Based Feedforward for Nonminimum-Phase Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  seeks to bound the effects of disturbances on the output by considering an output-boundary regulation (OBR) problem. If  a priori  (preview) information of the disturbance is available, feedforward approaches can overcome the limits of feedback methods for nonminimum-phase systems. The main contribution of this paper is to develop a feedforward-based control approach for nonminimum-phase systems when the disturbance is not known  a priori . Furthermore, the performance of the proposed approach is quantified by providing the acceptable disturbance for a given output-error bound. Simulation results for a benchmark flexible-structure example are presented to show substantial performance improvement with the proposed optimal OBR approach compared with dc-gain-based or step-input-based approaches."}]