We investigate a linear-quadratic-Gaussian (LQG) control and sensing codesign problem, where one jointly designs policies. focus on the realistic case design is selected among finite set of available sensors, each sensor associated with different cost (e.g., power consumption). consider two dual problem instances: sensing-constrained LQG control, maximizes performance subject to budget, minimum...