The results of studies on a trajectory-tracking problem affected by false data injection attacks (FDIAs) and internal and external uncertainties are presented in this paper. In view of the FDIAs experienced by the system, we compensate for the serious navigation deviation caused by malicious attacks by designing an online approximator. Next, we study the internal and external uncertainties introduced by environmental factors, system parameter fluctuations, or sensor errors, and we design adaptive laws for these uncertainties to approximate their upper bounds. To further enhance the response velocity and stability of the system, we introduce finite-time technology to ensure that the unmanned underactuated surface vessels (USVs) reach the predetermined trajectory-tracking target within finite time. To further reduce the update frequency of the controller, we introduced event-triggered control (ETC) technology. This saves the system’s communication resources and optimizes the system. Through Lyapunov stability theory, a strict and complete stability analysis is provided for the control scheme. Finally, the effectiveness of the control scheme is verified using two sets of simulations.
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In the present study, an LC-MS/MS method allowing to quantify pretomanid and pyrazinamide simultaneously in rat plasma was developed. Chromatographic separation was achieved on an Agilent Eclipse plus C18 column (100 mm × 2.1 mm, 3.5 μm; Agilent, USA) and maintained at 30 °C. Multiple reaction monitoring (MRM) using positive-ion ESI mode to monitor ion transitions of m/z 360.1 → m/z 175.1 for pretomanid, m/z 124.1 → m/z 81.0 for pyrazinamide, m/z 172.1 → m/z 128.1 for metronidazole (IS). The calibration curves showed good linear relationships over the concentration range of 50–7,500 ng mL⁻¹ for pretomanid and 500–75,000 ng mL⁻¹ for pyrazinamide. The precision and accuracy were below 15% and within ±15% of the nominal concentrations, respectively. The selectivity, recovery and matrix effect of this method were all within acceptable limits of bioanalytics. The method was applied to the analysis of plasma samples from pharmacokinetic studies in rats. The results show that the main pharmacokinetic parameters of pyrazinamide, namely, T max , t1/2, and AUC(0–t), decreased in the combined group than in the alone group.
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