Concurrent H2/H∞ feedback control design with optimal sensor and actuator selection

This paper presents a systematic approach to concurrently design H2/Hinf dynamic output feedback controllers and find the optimal number of sensors and actuators for continuous linear time-invariant models of complex multi-variate systems. The method formulates this concurrent design and selection as a multi-objective optimization problem where l1 norm regularization is performed on the controller input and output matrices. Two case studies illustrate the potential of the developed approach. The preliminary results obtained from this approach justify the interplay of obtaining a trade-off between the enhanced closed-loop performance and the implementation cost.status: publishe