Tracking Performance of Distributed Recoverable Flight Control Systems Subject to High Intensity Radiated Fields

Abstract

Face recognition (FR) has become one of the most successful applications of image analysis and understanding in computer vision. The learning-based model in FR is considered as one of the most favorable problem-solving methods to this issue, which leads to the requirement of large training data sets in order to achieve higher recognition accuracy. However, the availability of only a limited number of face images for training a FR system is always a common problem in practical applications. A new framework to create a face database from a single input image for training purposes is proposed in this dissertation research. The proposed method employs the integration of 3D Morphable Model (3DMM) and Differential Evolution (DE) algorithms. Benefitting from DE's successful performance, 3D face models can be created based on a single 2D image with respect to various illumination and pose contexts. An image deformation technique is also introduced to enhance the quality of synthesized images. The experimental results demonstrate that the proposed method is able to automatically create a virtual 3D face dataset from a single 2D image with high performance. Moreover the new dataset is VII

Functional Series Expansions for Continuous-Time Switched Systems

“…In light of (5)-(6), define X = {x 1 }, Y = {y 1 }. Note here that the operator L η defined in (18) can be used to describe the coefficients of the series expansion of the solution of the state equation, z t , by identifying L x 1 = L f and L y 1 = g . Repeating this procedure iteratively yields the Peano-Baker formula for equation (31), namely…”

“…It is well known, for example, that flight control computers on board a fly-by-wire aircraft are subject to faults induced by electromagnetic disturbances and cosmic rays [18,20]. In turn, these faults can induce system-level errors by corrupting the control law computations.…”

Stabilization for a class of continuous‐time nonlinear Markov jump systems via the approximate discrete‐time model

“…Continuous-time Markov jump systems (MJSs) described by stochastic differential equations with Markov switching (SDEwMS) have been widely applied to model and analyze many practical systems suffering from special structure or parameters with sudden changes, such as electric power systems, 1 modern communication systems, 2 aircraft systems, 3,4 et al Aiming at the research of MJSs, one of the most important issues is how to design feedback controllers effectively to stabilize the corresponding systems. In general, there are mainly two kinds of stabilization scheme for MJSs described by SDEwMS, including the well-studied continuous-time control scheme [5][6][7] and the discrete-time control scheme coming into stage recently.…”

Performance Analysis of Switched Control Systems Under Common‐source Digital Upsets Modeled by MDHMM

“…However, physical experiments in [7,8] discovered that the stochastic digital upsets cannot be characterized by general order Markovian models precisely. Reference [8][9][10][11] developed a general model for analyzing the performance degradations of flight control systems subject to independent upset processes induced by HIRF environments and presented a burst model by adding more upsets in order to extend the duration of upset processes. Therefore, this method can only provide the upper bound for performance degradation analysis under independent upsets.…”