BATTLE MANAGEMENT DYNAMIC RESOURCE ALLOCATION USING DECENTRALIZED ROBUST CONTROL THEORY

THE SDI BATTLE MANAGMENT PROBLEM IS A COMPLEX HIGH DIMENSIONAL DYNAMIC STOCHASTIC RESOURCE ALLOCATION PROBLEM. RECENT DEVELOPMENTS IN DECENTRALIZED ROBUST CONTROL THEORY PROVIDE A MEANS TO ADDRESSING SOME OF THE IMPORTANT ASPECTS OF THIS PROBLEM. IN THIS PROPOSAL, THE HIGHER LEVEL PROBLEM OF DECIDING HOW MANY INTERCEPTORS SHOULD BE ASSIGNED TO EACH THREAT SECTOR TO MAXIMIZE THE PROBABILITY OF SURVIVAL OF THE ESSENTIAL DEFENSE ELEMENTS IS FORMULATED AS A LINEAR EXPONENTIAL GAUSSIAN TEAM (LEGT) DECISION PROBLEM. DURING PHASE I, A DECENTRALIZED ROBUST SOLUTION TO THE LEGT PROBLEM WILL BE IMPLEMENTED AND TESTED ON A SIMPLIFIED SDI SIMULATION. THE OBJECTIVE OF PHASE I RESEARCH IS TO TEST THE FEASIBILITY AND BENEFITS OF SOLVING THE HIGHER LEVEL STOCHASTIC ASSIGNMENT PROBLEM USING LEGT FORMULATION. PHASE II WILL ADDRESS THE LOWER LEVEL BATTLE MANAGEMENT DECISION PROBLEMS AND TEST THE ALGORITHMS ON A LARGER SCALE SIMULATION OF THE SDI BATTLE MANAGMENT SCENARIO. THE PROBLEM OF CONTROLLER RECONFIGURATION AFTER FAILURE DETECTION WILL ALSO BE CONSIDERED.