A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control
The paper evaluates a noise-resilient neural-network solver for time-variant quadratic programming with experiments on a Flexiv Rizon robot.
Evidence notes
- The evaluation uses a physical Rizon Adaptive Robot Series platform supplied by Flexiv Robotics Ltd..
Company context
Manufacturer of adaptive industrial robotic arms with force control and vision for factory automation.