Chun Yin

Learn More
Available online xxxx Keywords: Sliding mode based extremum seeking control Fractional-order sign function Convergence speed Tracking Photovoltaic system a b s t r a c t This paper develops a fractional-order sliding mode based extremum seeking controller (FO SM-ESC) for the optimization of nonlinear systems. The proposed FO SM-ESC, involving an FO(More)
— In this paper, a novel design of an Extremum-Seeking Controller (ESC) based on Sliding Mode Control (SMC) for a class of Single-Input-Single-Output (SISO) uncertain or unknown nonlinear systems is proposed. The corrective term of the proposed observer is used to estimate the uncertain system. Global exact tracking using only output-feedback is proven with(More)
— In this paper, the problem of designing a sliding mode controller for a class of uncertain fractional-order non-linear systems with 0 < q < 1 is addressed by using linear matrix inequality (LMI) method. A key analysis technique is enabled by proposed a fundamental boundedness lemma, which is used for rigorous stability analysis of fractional-order(More)
—This work reports a fully parallel match-line (ML) structure with an automated background checking (ABC) scheme. MLs are pre-charged to an intermediate level by a pulsed current source to minimize power. The proposed ABC scheme uses two dummy rows for digitally adjusting the pulse width and the delay of the sense amplifier enable signals of the CAM without(More)
Recent research has shown the speed advantage of extreme learning machine (ELM) and the accuracy advantage of sparse representation classification (SRC) in the area of image classification. Those two methods, however, have their respective drawbacks, e.g., in general, ELM is known to be less robust to noise while SRC is known to be time-consuming.(More)