Litcius/Paper detail

Event-driven <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1238" altimg="si296.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> control with critic learning for nonlinear systems

Xiong Yang, Zhongke Gao, Jinhui Zhang

2020Neural Networks22 citationsDOI

Topics & Concepts

Event (particle physics)Computer scienceNonlinear systemAlgorithmArtificial neural networkGradient descentInverted pendulumArtificial intelligencePhysicsQuantum mechanicsAdaptive Dynamic Programming ControlPower System Optimization and StabilityAdaptive Control of Nonlinear Systems
Event-driven <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e1238" altimg="si296.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> control with critic learning for nonlinear systems | Litcius