CARL adds stability guarantees to reinforcement-learning robot control
A reinforcement-learning method combining contraction theory was tested in simulation and on three robot platforms, providing stability guarantees and improving ...
A reinforcement-learning method combining contraction theory was tested in simulation and on three robot platforms, providing stability guarantees and improving ...
A new control theory framework published in Aging redefines aging as a progressive loss of safe controllability and proposes safety-first ...
Chinese researchers combined virtual DC machine control with passivity-based control to cut bus-voltage deviations by up to 91.7 percent in ...
A new theoretical framework argues that biological regulatory capacity is a conditional relation among system architecture, perturbations, cost metrics, and ...
Researchers have derived the first complete, necessary and sufficient characterization of the stability region for second-order linear systems with a ...
Researchers in Chengdu have developed a predefined-time adaptive neural backstepping controller that forces electro-hydraulic actuators to converge within designer-set deadlines ...
A new geometric analysis shows that active flutter suppression succeeds or fails on the dimensionality and conditioning of the modal ...
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© 2025 Scienmag - Science Magazine