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This article considers an improvement in dead zone modification scheme for robust model-reference adaptive control of SISO and TITO systems, described by input-output uncertain linear models with actuator faults. In the conventional approach, adaptation of the controller parameters is ceased in the dead zone, which leads to steady state tracking error. This problem is resolved by tuning specific controller...
In this paper, a novel robustness of the model free adaptive control (MFAC) algorithms is presented when the system is subject to data dropout. It is assumed that an MFAC scheme is implemented via a network control system and that data dropout occurs due to a failing sensor, actuator or network failure, resulting in what it is called intermittent MFAC. The stability of such the MFAC progress is analyzed...
An adaptive output feedback control scheme is proposed for a class of non-affine nonlinear system in which the output signal can track the reference signal. A state observer is constructed to estimate the unknown state in system. A three-layer neural network is introduced to compensate the modeling errors and a Robust control is also used to reduce the approximation error, which adds to the anti-interference...
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