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Found 3 papers, 1 papers with code
Learning Contraction Policies from Offline Data
We then learn both the control policy and the contraction metric such that the distance between the trajectories from the offline data set and our generated auxiliary sample trajectories decreases over time.
Laser tracker adaptive tuning
The goal of the automatic tuning algorithm is to compute suitable values for the controller gains, including the proportional (Kp), integral (Ki), and derivative (Kd), as well as the tachometer feedback gain (Kv).
Privacy preservation in continuous-time average consensus algorithm via deterministic additive obfuscation signals
This paper considers the problem of privacy preservation against passive internal and external malicious agents in the continuous-time Laplacian average consensus algorithm over strongly connected and weight-balanced digraphs.
Systems and Control
