Woon, S. F.; Rehbock, V.; Loxton, R. C. Global optimization method for continuous-time sensor scheduling. (English) Zbl 1225.37120 Nonlinear Dyn. Syst. Theory 10, No. 2, 175-188 (2010). The authors consider a situation in which several sensors are used to collect data for signal processing. Since operating multiple sensors simultaneously causes system interference, only one sensor can be activate at a time. The authors formulate the problem of “scheduling operation of the sensors to minimize the signal estimation error” as a discrete-valued optimal control problem. Instead of using the conventional optimization techniques, they decompose the transformed problem into a bi-level optimization problem and then solve the resulting problem using a discrete filled function method in conjunction with a conventional optimal control algorithm. They also perform some numerical simulations which seem to show that their algorithm is robust, efficient and reliable in attaining a new global optimal solution. Reviewer: Xingfu Zou (London, Ontario) Cited in 8 Documents MSC: 37N35 Dynamical systems in control 37N40 Dynamical systems in optimization and economics 90C06 Large-scale problems in mathematical programming Keywords:sensor scheduling; time scaling transformation; discrete filled function; optimal control; mixed discrete optimization PDFBibTeX XMLCite \textit{S. F. Woon} et al., Nonlinear Dyn. Syst. Theory 10, No. 2, 175--188 (2010; Zbl 1225.37120)