A framework using incremental input-to-state stability reduces bounding approximation effects to a sector bound on policy difference, operationalized as a Design Meta-Problem that minimizes performance gap subject to stability and compute limits, demonstrated on receding-horizon LQR.
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A Quantitative Framework for Navigating Controller Design Tradeoffs under Computational Constraints
A framework using incremental input-to-state stability reduces bounding approximation effects to a sector bound on policy difference, operationalized as a Design Meta-Problem that minimizes performance gap subject to stability and compute limits, demonstrated on receding-horizon LQR.