Jorge Cortés

Professor





Co-optimization of control and actuator selection for cyber-physical systems
C.-Y. Chang, S Martínez, J. Cortés
IFAC Workshop on Distributed Estimation and Control in Networked Systems, Groningen, The Netherlands, 2018, pp. 118-123


Abstract

This paper considers actuator selection problems which aim to maintain control performance of dynamical systems, and minimize operational costs or wear-and-tear of the actuators. The logical controls of actuators make the problem combinatorial, which make exhaustive search impractical. An actuator selection problem can be cast as a binary-integer programming with bilinear matrix inequalities (BIBMIs). In this paper, we first show that such non-convex optimization can be equivalently reformulated as an optimization problem with non-convexities restricted to binary decision variables. We next consider a continuous optimization which is equivalent to the BIBMIs, and leverage the continuous reformulation to derive a branch-and-bound method employing bound refinement. Numerical simulations demonstrate the effectiveness of the proposed approach.



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Mechanical and Aerospace Engineering, University of California, San Diego
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