linear-quadratic regulator
PulseAugur coverage of linear-quadratic regulator — every cluster mentioning linear-quadratic regulator across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New federated learning algorithm reduces communication for LQR control
Researchers have developed ScalarFedLQR, a novel federated learning algorithm designed for linear quadratic regulator (LQR) control. This method significantly reduces communication overhead by having each agent transmit…
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New framework enhances multi-agent tracking resilience against cyberattacks
Researchers have developed a new framework for multi-agent systems to enhance resilience against false data injection attacks during target localization and tracking. The proposed method integrates information-based nav…
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Adversarial RL finds sparse DoS attacks to destabilize self-triggered control systems
Researchers have developed a novel adversarial reinforcement learning approach to identify vulnerabilities in self-triggered control systems. This method focuses on finding the sparsest denial-of-service (DoS) attack sc…
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New LQR algorithm bypasses stability requirement, improves sample complexity
Researchers have developed a new receding-horizon algorithm for the Linear Quadratic Regulator (LQR) problem, which addresses unknown system dynamics. This novel approach improves upon existing methods by not requiring …
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New control design methodology uses differential games for competing tasks
Researchers have developed a new control design methodology called Divide and Conquer, which uses differential games to manage competing control tasks in single-agent, multi-objective dynamical systems. This framework a…
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Researchers achieve near-optimal regret in safe learning-based control for constrained LQR
Researchers have developed a new algorithm for adaptive control of stochastic linear quadratic regulators with constraints. This algorithm achieves near-optimal regret of $\tilde{O}(\sqrt{T})$ and satisfies chance const…