Actuator location optimization in synchronization control of networked distributed parameter systems

This work examines the effects of actuator location in networked distributed parameter systems. In particular, the effects of the optimal actuator location for one networked system can impact the collective behavior of the networked systems. The actuator optimization cannot be performed on the individual networked systems, but must be considered for the aggregate of the networked systems. To tackle the actuator optimization problem, the networked systems are viewed collectively and with the implementation of a synchronization controller, the resulting closed-loop aggregate system is parameterized by the actuator location. Using different metrics for the success of synchronization, the resulting actuator optimization problem is recast as a minimization of a performance index. The solution to this optimization is expressed as the minimization of the trace of a location-parameterized Lyapunov operator. Simulation studies on seven networked diffusion partial differential equations in one spatial dimension reveal the effects of a correct actuator placement on synchronization.