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In this controller, only the primary currents are assumed to be measured.
In this controller, a hysteresis observer based on a Bouc-Wen model is established to compensate the hysteresis nonlinearity of the piezoelectric actuator first.
In this controller, time delay effect is incorporated in the mathematical model of the dynamic system throughout the control design and no approximations and assumptions are made in the controller derivation, so the system stability is easily guaranteed.
In this controller, the adaptive fuzzy system is used to approximate the unknown nonlinearities and the Nussbaum function is incorporated to deal with the unknown control direction (i.e. with the unknown control gain sign).
In this controller design, the frequency-domain specifications can guarantee the system stability with both gain margin and phase margin, and also the system robustness to loop gain variations.
In this controller, the actual current of motor is used as input variable.
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In multicellular organisms, this controller consists of two basic mechanisms by which integration is achieved chemical regulation and nervous regulation.
Control/ contains code to simulate the controller described in the paper, code to run this controller in real time on a vehicle, and experimental data.
However, we are planning to use this part in further development and research on this controller in the Robot Learning lab.
Simulations are used to demonstrate the performance of this controller in comparison to a conventional backstepping controller.
This controller, in general, may not be realizable or is of high-order.
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