ARTIFICIAL INTELLIGENCE BASED APPROACH FOR CLASSIFICATION OF HUMAN ACTIVITIES USING MEMS SENSORS DATA


Funnel-Based Adaptive Neural Fault-Tolerant Control for Nonlinear Systems with Dead-Zone and Actuator Faults: Application to Rigid Robot Manipulator and Inverted Pendulum Systems

This study addresses an adaptive Natural Wall Decor neural funnel fault-tolerant control problem for a class of strict-feedback nonlinear systems with actuator faults and input dead zone.To guarantee the boundedness of the tracking error, a modified transformation for funnel error is devised and incorporated into the control design process.To manag

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