Jorge Cortés

Professor

Cymer Corporation Endowed Chair




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.



pdf

Mechanical and Aerospace Engineering, University of California, San Diego
9500 Gilman Dr, La Jolla, California, 92093-0411

Ph: 1-858-822-7930
Fax: 1-858-822-3107

cortes at ucsd.edu
Skype id: jorgilliyo