A data-driven LMI criterion extracted from input-state trajectories computes optimal output differential passivity indices to certify distributed stability in power systems via convex SDP.
Formulas for data-driven control: Stabilization, optimality, and robustness,
3 Pith papers cite this work. Polarity classification is still indexing.
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The stationary point of observer-based dynamic LQR is characterized by a pair of symmetric discrete-time Sylvester equations, and the usual separated LQR-plus-minimum-trace-observer design is not optimal.
A unified data-driven co-design method for event-triggered and sparse control in noisy NCS with unknown dynamics, providing stability and H_infty conditions via iterative optimization.
citing papers explorer
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Data-Driven Distributed Stability Certification for Power Systems via Input-State Trajectories
A data-driven LMI criterion extracted from input-state trajectories computes optimal output differential passivity indices to certify distributed stability in power systems via convex SDP.
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On the Optimization Landscape of Observer-based Dynamic Linear Quadratic Control
The stationary point of observer-based dynamic LQR is characterized by a pair of symmetric discrete-time Sylvester equations, and the usual separated LQR-plus-minimum-trace-observer design is not optimal.
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Data-Driven Co-Design of Event-Triggered and Sparse Control for Resource-Aware Networked Control Systems
A unified data-driven co-design method for event-triggered and sparse control in noisy NCS with unknown dynamics, providing stability and H_infty conditions via iterative optimization.