CONCURRENT LEARNING-BASED GLOBAL EXPONENTIAL TRACKING CONTROL OF UNCERTAIN SWITCHED SYSTEMS WITH MODE-DEPENDENT AVERAGE DWELL TIME

Concurrent Learning-Based Global Exponential Tracking Control of Uncertain Switched Systems With Mode-Dependent Average Dwell Time

This paper investigates the problem of global exponential tracking control for switched nonlinear systems with linear uncertain parameters and without persistency of excitation.A switched model reference adaptive control technique, using the mode-dependent average Wrap Blanket dwell time method and a concurrent learning approach, is proposed for th

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A Knowledge-Driven Approach for 3D High Temporal-Spatial Measurement of an Arbitrary Contouring Error of CNC Machine Tools Using Monocular Vision

Periodic health checks of contouring errors under unloaded conditions are critical for machine performance evaluation and value-added manufacturing.Aiming at breaking the dimension, range and speed measurement limitations of the existing devices, a cost-effective knowledge-driven approach for detecting error motions of arbitrary paths using a singl

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