A two-time-scale dynamic implementation enables locally computable approximations of networked control barrier function safety filters with explicit bounds on trajectory mismatch and safety degradation.
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A canonical structure via linear transformation enables projected first-order algorithms with delayed feedback to reach the optimum at the same rate as their unconstrained versions.
LMI-based quadratic approximation of the value function via iterated Bellman inequalities yields a tractable offline convex program for horizon-one near-optimal control of PMSMs with performance close to FCS-MPC.
citing papers explorer
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Local Safety Filters for Networked Systems via Two-Time-Scale Design
A two-time-scale dynamic implementation enables locally computable approximations of networked control barrier function safety filters with explicit bounds on trajectory mismatch and safety degradation.
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A Canonical Structure for Constructing Projected First-Order Algorithms With Delayed Feedback
A canonical structure via linear transformation enables projected first-order algorithms with delayed feedback to reach the optimum at the same rate as their unconstrained versions.
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Computationally Efficient Near-Optimal Control for Current Ripple Reduction and Optimization of Three-Phase Motors via LMIs
LMI-based quadratic approximation of the value function via iterated Bellman inequalities yields a tractable offline convex program for horizon-one near-optimal control of PMSMs with performance close to FCS-MPC.