Abstract

In this paper we present the design and implementation of a controller scheme for e±cient resource management in Advanced Life Support Systems. In the proposed approach, a switching hybrid system model is used to represent the dynamics of the system components and their interactions. The operational speci¯cations for the controller are represented as a utility function, and the corresponding resource management problem is formulated as a safety control problem. A limited-horizon online supervisory controller is used for this purpose. The online controller explores a limited region of the state-space of the system at each time step and uses the utility function to decide on the best action. The feasibility and accuracy of the online algorithm can be assessed at design time. We demonstrate the e®ectiveness of the scheme by running a set of experiments on the Reverse Osmosis (RO) subsystem of the Water Recovery System (WRS).

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