Nonlinear control of a class of non-affine variable-speed variable-pitch wind turbines with radial-basis function neural networks.

Due to complicated dynamics, wind turbines' governing equations are subject to uncertainties and unknown disturbance sources. Despite uncertainties and disturbance sources, the paper's focus is to design an adaptive controller that enables trajectory-tracking with a zero-converging tracking error. As the main result of a zero tracking error, the turbine can operate at maximum power efficiency. In addition, novel Lyapunov functions are proposed introducing auxiliary adaptive terms to result in closed-loop asymptotic stability in the presence of a non-affine controller input, uncertainties, and unknown disturbance sources. Considering the turbine dynamics, one can divide the wind turbine control problem into torque and pitch control phases. For addressing the nonlinearities and uncertainties of the dynamics in each phase, RBF neural networks are utilized to develop novel control and adaptive laws. To address the non-affine dynamics stemming from the pitch angle, a neural network alongside the implicit function and mean-value theorems are utilized to transform the dynamics into the control affine form. Several auxiliary adaptive variables are proposed in the transformation procedure, leading to closed-loop asymptotic stability. Moreover, using the Lyapunov stability analysis, closed-loop asymptotic stability is obtained for each phase. In the end, simulation results are presented to verify the analytical results where the proposed controller's performance is compared to that of an existing method in different scenarios. The proposed controller's simulation results suggest dramatic improvement over those of the existing method in both trajectory-tracking and required control action.

Reduce proliferation of human bone marrow cells from acute myeloblastic leukemia with minimally differentiation by blocking lncRNA PVT1.

PURPOSE: Acute myeloblastic leukemia with minimally differentiation (AML-M0) is a subtype of acute leukemia with poor prognosis. The recent studies have shown that long non-coding RNAs (lncRNAs) play an important role in different cellular processes, such as cell cycle control and proliferation. Plasmacytoma variant translocation 1 (PVT1) is one of those lncRNAs that is significantly upregulated in AML. LncRNAs could be downregulated or blocked by locked nucleic acids (LNA) which are oligonucleotide strands. METHODS: In this study, lncRNA PVT1 was blocked by antisense LNA GapmeRs in human bone marrow cancerous blast cells. Cells were transfected with PVT1 antisense LNA GapmeRs at 24, 48, and 72 h post-transfection. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) was accomplished to evaluate the PVT1 and c-Myc expression. Cell viability was evaluated by MTT assay, and apoptosis and necrosis were assessed by Annexin V/propidium iodide staining assay. RESULTS: The results of this study indicated that the downregulation of PVT1 in blast cells could induce apoptosis, and necrosis and reduce cell viability. The expression of c-Myc was downregulated by blockage of PVT1 and it shows that the expression of these two genes are correlated. CONCLUSION: The findings declare that inhibition of PVT1 could be a new target in the treatment of AML-M0 and help to approach more to treatments with fewer side effects.