Litcius/Paper detail

Prescribed-time convergent and noise-tolerant Z-type neural dynamics for calculating time-dependent quadratic programming

Bolin Liao, Yuyan Wang, Weibing Li, Peng Chen, Qiuhong Xiang

2020Neural Computing and Applications49 citationsDOI

Topics & Concepts

Computer scienceArtificial neural networkConvergence (economics)SolverNoise (video)Robustness (evolution)Nonlinear systemQuadratic equationUpper and lower boundsQuadratic programmingApplied mathematicsSequential quadratic programmingType (biology)Mathematical optimizationControl theory (sociology)MathematicsArtificial intelligenceMathematical analysisBiochemistryChemistryControl (management)GeneGeometryQuantum mechanicsImage (mathematics)BiologyEcologyProgramming languageEconomicsPhysicsEconomic growthNeural Networks and ApplicationsFault Detection and Control SystemsAdvanced Control Systems Optimization
Prescribed-time convergent and noise-tolerant Z-type neural dynamics for calculating time-dependent quadratic programming | Litcius