How Much Reserve Fuel: Quantifying the Maximal Energy Cost of System Disturbances

TL;DR

This paper develops metrics to quantify the maximum additional energy a control system requires to complete a task under bounded disturbances, aiding in robust control design.

Contribution

It introduces analytical metrics and bounds for the worst-case energy cost of system disturbances during finite-time stabilization of linear systems.

Findings

Derived upper bounds on energy metrics

Validated metrics with simulation on fighter jet model

Showed metrics vary with task difficulty

Abstract

Motivated by the design question of additional fuel needed to complete a task in an uncertain environment, this paper introduces metrics to quantify the maximal additional energy used by a control system in the presence of bounded disturbances when compared to a nominal, disturbance-free system. In particular, we consider the task of finite-time stabilization for a linear time-invariant system. We first derive the nominal energy required to achieve this task in a disturbance-free system, and then the worst-case energy over all feasible disturbances. The latter leads to an optimal control problem with a least-squares solution, and then an infinite-dimensional optimization problem where we derive an upper bound on the solution. The comparison of these energies is accomplished using additive and multiplicative metrics, and we derive analytical bounds on these metrics. Simulation examples on an ADMIRE fighter jet model demonstrate the practicability of these metrics, and their variation with the task hardness, a combination of the distance of the initial condition from the origin and the task completion time.