A novel error observer-based adaptive output feedback approach for control of uncertain systems
Tóm tắt
We develop an adaptive output feedback control methodology for nonaffine in control of uncertain systems having full relative degree. Given a smooth reference trajectory, the objective is to design a controller that forces the system measurement to track it with bounded errors. A neural network with linear parameters is introduced as an adaptive signal. A simple linear observer is proposed to generate an error signal for the adaptive laws. Ultimate boundedness is shown through Lyapunov's direct method. Simulations of a nonlinear second-order system illustrate the theoretical results.
Từ khóa
#Error correction #Programmable control #Adaptive control #Output feedback #Control systems #Uncertain systems #Trajectory #Force control #Force measurement #Neural networksTài liệu tham khảo
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