首页|New Robotics Findings from National University of Singapore Described (Inverse Optimal Adaptive Control of Canonical Nonlinear Systems With Dynamic Uncertainties and Its Application To Industrial Robots)
New Robotics Findings from National University of Singapore Described (Inverse Optimal Adaptive Control of Canonical Nonlinear Systems With Dynamic Uncertainties and Its Application To Industrial Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Robotics is the subject of a report. According to news reportingoriginating in Singapore, Singapore, by NewsRx journalists, research stated, “The existing inverse optimalmethods for canonical nonlinear systems assume that the system is modeled precisely and accurately, butdynamic uncertainties commonly exist and are unavoidable and difficult to model in practical engineeringand industrial systems. This work removes this limitation and solves the problem of inverse optimal adaptivecontrol for canonical nonlinear systems with dynamic uncertainties.”
SingaporeSingaporeAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsNational University of Singapore
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