This article develops a cooperative-critic learning-based secure tracking control (CLSTC) method for unknown nonlinear systems in the presence of multisensor faults. By introducing a low-pass filter, the sensor faults are transformed into "pseudo" actuator faults, and an augmented system that integrates the system state and the filter output is constructed. To reduce design costs, a joint neural network Luenberger observer (NNLO) structure is established by using neural network and input/output data of the system to identify unknown system dynamics and sensor faults online.
View Article and Find Full Text PDFIn this paper, a synergetic learning structure-based neuro-optimal fault tolerant control (SLSNOFTC) method is proposed for unknown nonlinear continuous-time systems with actuator failures. Under the framework of the synergetic learning structure (SLS), the optimal control input and the actuator failure are viewed as two subsystems. Then, the fault tolerant control (FTC) problem can be regarded as a two-player zero-sum differential game according to the game theory.
View Article and Find Full Text PDFPurpose: To investigate the effect of circular (circ)-ZNF609 on the pathogenesis of colorectal cancer and its underlying mechanism.
Methods: 24 cases of postoperative colorectal cancer tissues and 36 cases of mucosa tissues were selected as experimental group and control group, respectively. Circ-ZNF609 expression in colorectal cancer tissues and mucosa tissues were detected by quantitative real-time PCR (qRT-PCR).