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Found 6 papers, 3 papers with code
Grouping of $N-1$ Contingencies for Controller Synthesis: A Study for Power Line Failures
The problem of maintaining power system stability and performance after the failure of any single line in a power system (an "N-1 contingency") is investigated.
Fast Assignment in Asset-Guarding Engagements using Function Approximation
This subproblem is computationally intensive and hence the computational cost of the assignment is dominated by the construction of the cost matrix.
Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees
Finally, this convex condition is used in a projection-based training method to synthesize neural network controllers with dissipativity guarantees.
Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards
Recent work in reinforcement learning has leveraged symmetries in the model to improve sample efficiency in training a policy.
Certifying Stability and Performance of Uncertain Differential-Algebraic Systems: A Dissipativity Framework
This paper presents a novel framework for characterizing dissipativity of uncertain dynamical systems subject to algebraic constraints.
Synthesis of Stabilizing Recurrent Equilibrium Network Controllers
We propose a parameterization of a nonlinear dynamic controller based on the recurrent equilibrium network, a generalization of the recurrent neural network.
