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Estimator-based neural adaptive event-triggered control for strict-feedback nonlinear systems with incomplete measurements
This article addresses a neural adaptive event-triggered tracking control for a class of strict-feedback nonlinear dynamics with incomplete measurements, which is novel on the research of Cyber-phy...
期刊介绍:
The International Journal of Control publishes top quality, peer reviewed papers in all areas, both established and emerging, of control theory and its applications.
Readership: Development engineers and research workers in industrial automatic control. Research workers and students in automatic control and systems science in universities. Teachers of advanced automatic control in universities. Applied mathematicians and physicists working in automatic control and systems analysis. Development and research workers in fields where automatic control is widely applied: process industries, energy utility industries and advanced manufacturing, embedded systems and robotics.