Analytical Near-Optimal Distributed Consensus for Cooperative Salvo Guidance

What is it about?

This paper suggests a new way to create better cooperative guidance laws by proposing a distributed consensus dynamics approach. The authors use a predictor-corrector concept to formulate the problem and then use optimal control theory to find the optimal solution. The proposed approach works in a distributed system by minimizing the distance between the global-optimal command and the distributed feasible set. The guidance laws designed based on our approach are better in energy utilization than the existing distributed methods. The paper includes theoretical analysis, examples, and simulations to show how this approach works.

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