Litcius/Paper detail

Robust <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e288" altimg="si6.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> model predictive control for constrained Lipschitz non-linear systems

Ali Shokrollahi, Saeed Shamaghdari

2021Journal of Process Control14 citationsDOI

Topics & Concepts

Convex optimizationControl theory (sociology)Lipschitz continuityModel predictive controlOptimization problemComputer scienceAlgorithmMathematicsMathematical optimizationRegular polygonArtificial intelligenceControl (management)Mathematical analysisGeometryAdvanced Control Systems OptimizationFault Detection and Control SystemsControl Systems and Identification
Robust <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e288" altimg="si6.svg"><mml:msub><mml:mrow><mml:mi>H</mml:mi></mml:mrow><mml:mrow><mml:mi>∞</mml:mi></mml:mrow></mml:msub></mml:math> model predictive control for constrained Lipschitz non-linear systems | Litcius