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—In this technical note, we consider adaptive control of single input uncertain nonlinear systems in the presence of input saturation and unknown external disturbance. By using backstepping approaches, two new robust adaptive control algorithms are developed by introducing a well defined smooth function and using a Nussbaum function. The Nussbaum function(More)
— Hysteresis nonlinearity exists in many physical actuators and actuator failures seem inevitable in practice. However, there is still no result available to compensate for failures of hysteric actuators in the design of controllers based on adaptive approaches. In this paper, we address such a problem by considering controlling a class of unknown nonlinear(More)
Soybean mosaic virus resistance was significantly improved in multiple soybean cultivars through genetic transformation induced by inverted repeat-SMV- HC - Pro genes based on RNAi and post-transcriptional gene silencing. Here, we demonstrate Soybean mosaic virus (SMV) resistance in transgenic soybean plants. Transformation of five soybean genotypes with a(More)
This paper deals with the stabilization problem of uncertain nonlinear systems by passivity-based adaptive integral sliding mode control. The systems may possess both parametric uncertainties and unknown nonlinear functions that may represent modeling errors and external disturbances. The proposed method first combines immersion and invariance adaptive(More)
— It is well known that hysteresis often exists and failures may occur in practical actuators during system operation. The compensation for uncertainties caused by unknown hysteresis and unknown failures is an important problem in ensuring system stability and performances. However, available results based on adaptive approaches to address such a problem(More)