## 6 Conclusions  
While integration of feedback control systems into civil infrastructure is not a new area of research, several challenges of the technology, such as computational delays and communication constraints, have prevented their widespread adoption. This study proposes using a control algorithm that leverages front-end signal processing to enable streamlined control at the actuation node and has the potential to overcome many of these challenges. The control algorithm reduces down to a simplistic weighted combination of the inputs that can easily be implemented in real-time on a controller node. The weights of this algorithm were initially developed using the particle swarm optimization with a homing feature (PSO-H) on a five-story benchmark structure. To further streamline the computations for the control algorithm and reduce unnecessary data-sharing, three pruning methods were employed, with the minimum error method resulting in increased control effectiveness through the elimination of extraneous weights. As weights were removed using this method, however,  
Figure 9: Percent difference in the fitness function from the unpruned, full-state weight matrix for the three pruning methods, with each pruning method without retraining overlain for comparison (**(a)**, note that a negative value indicates an improved performance), and the total number of filters removed through pruning (**b**). the remaining control parameters were no longer optimized and therefore the pruning methods were re-executed with periodic retraining using the PSO-H algorithm. This resulted in a pruned weight matrix using minimal-value deletion pruning that produces more effective control while also reducing the amount of transmitted data by 19.4%. With the validation of the PSO algorithm and integrated pruning techniques in simulation, future work will include the experimental validation of the proposed weighted-sum control algorithm. This future step is critical in validating the real-time control of the proposed control process and the streamlined communication capabilities. To achieve this, the proposed control process will be applied to a small-scale, multi-story laboratory structure that is placed on a single degree-of-freedom shake table. The structure is outfitted with transducers for measuring inter-story displacement and actuators for mitigating the effect of seismic base excitation. Information about the displacement of the structure will be acquired by the novel sensing node developed in [30] and the peaks from the real-time spectral components will be transmitted to a secondary sensing unit that both serves as the controller and executes the weighted-sum control algorithm. Prior to implementation, the weighting matrix will be determined for this new structure using the PSO-H algorithm. A comparative baseline method, such as LQR, will also be implemented on this set-up. Both the proposed control algorithm and the comparative baseline algorithm will face challenges that were not addressed in this study. First, the limitations of the wireless telemetry naturally result in lost data packets, which can degrade the control effectiveness. Accounting for this limitation in this study was attempted through carefully chosen time sampling schemes but experimental validation is necessary to fully validate this. Second, this study assumed an ideal actuator with no limitations or dynamics. The actual actuator dynamics will also affect the control time-step and place limitations on the amount of force that can be applied. Therefore, while this study was a successful numerical application of the proposed control algorithm, a necessary next step is experimental validation. Conceptualization, C.A.P. ; methodology, C.A.P. and A.A.; software, C.A.P., A.A. and C.F. ; validation, C.A.P. ; formal analysis, C.A.P. and C.V.; investigation, C.A.P. and M.C.N. ; resources, C.A.P. ; data curation, C.A.P. ; writing--original draft preparation, C.A.P. ; writing--review and editing, C.A.P., M.C.N., C.V.; visualization, C.A.P. ; supervision, C.A.P.