This paper proposes a simple, non-iterative way of calculating low-complexity controlled contractive sets, and shows how such set can be used for controller design for systems with state and input constraints. The res...
This paper proposes a simple, non-iterative way of calculating low-complexity controlled contractive sets, and shows how such set can be used for controller design for systems with state and input constraints. The result is a low complexity controller, suitable for implementation in embedded controlsystems with modest computational power and available memory.
Geometric characteristics of a vascular anastomosis can have important biomechanical impacts, particularly in the hemodynamic context of wall shear stress (WSS). In this study, we propose a new branching anastomosis d...
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The glutamine binding protein (GlnBP) binds l ‐glutamine and cooperates with its cognate transporters during glutamine uptake. Crystal structure analysis has revealed an open and a closed conformation for apo‐ and h...
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The glutamine binding protein (GlnBP) binds l ‐glutamine and cooperates with its cognate transporters during glutamine uptake. Crystal structure analysis has revealed an open and a closed conformation for apo‐ and holo‐GlnBP, respectively. However, the detailed conformational dynamics have remained unclear. Herein, we combined NMR spectroscopy, MD simulations, and single‐molecule FRET techniques to decipher the conformational dynamics of apo‐GlnBP. The NMR residual dipolar couplings of apo‐GlnBP were in good agreement with a MD‐derived structure ensemble consisting of four metastable states. The open and closed conformations are the two major states. This four‐state model was further validated by smFRET experiments and suggests the conformational selection mechanism in ligand recognition of GlnBP.
Purpose: A calibrationless parallel imaging reconstruction method, termed simultaneous autocalibrating and k-space estimation (SAKE), is presented. It is a data-driven, coil-by-coil reconstruction method that does not...
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control of humanoid robot behavior with the mind begins a new era of robotics research. One of the critical issues in this research is how to acquire the brain signals with high quality which are correlated to humanoi...
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New local perturbation bounds for the continuous-time H∞-control problem are obtained, which are nonlinear functions of the data perturbations and are tighter than the existing condition number-based local bounds. Th...
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Digital design has been growing rapidly during the last years, offering advanced implementation solutions for a diversity of appliances and instruments, integrating different sensors and actuators. This has a great im...
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ISBN:
(纸本)9789897580390
Digital design has been growing rapidly during the last years, offering advanced implementation solutions for a diversity of appliances and instruments, integrating different sensors and actuators. This has a great impact on embedded automation, where traditional Programmable Logic controllers (PLCs) have been gradually replaced by high performance Embedded controllers, Digital Signal Processor (DSP) chips and, more recently, power efficient Field Programmable Gate Arrays (FPGAs). Such new implementation platforms bring together efficient design methodologies, like model-based design and high-level or C level program-based design. In their turn, new design methodologies are accompanied by new design technologies like Intellectual Property (IP) based design and High-Level Synthesis (HLS). This paper presents a design environment that utilizes program-based and model-based design, for the development of PLC applications. Specifically, a tool flow is constructed that supports either the design of new control algorithms or the translation of existing algorithms into C. Then, HLS and FPGA implementation tools are adopted, to implement the selected algorithms as mul-ticore, embedded designs, offering performance improvements and hardware utilization efficiency. Overall, the proposed methodology and underlying tool flow support a novel high productivity prototyping platform for digital control applications, with very promising future extension capabilities.
In traditional control theory, a single observer has access all the measured outputs of the plant to estimates its asymptotically. In many real world engineeringsystems, it may be difficult to build a single observer...
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ISBN:
(纸本)9781479914821
In traditional control theory, a single observer has access all the measured outputs of the plant to estimates its asymptotically. In many real world engineeringsystems, it may be difficult to build a single observer that has access to all the measured outputs. One way around this difficulty is to build a network of cooperative observers, each of which obtains a portion of the measurement outputs, that collectively produce an asymptotic estimate of the plant state. In this paper, we construct a network of such observers for a continuous-time linear system. Assuming that these observers are connected through an undirected connected network, we establish a necessary and sufficient condition on the plant parameters under which the network of observers will achieve asymptotic omniscience. A network of cooperative observers is said to achieve asymptotic omniscience if their states all converge to the plant state asymptotically. Numerical simulation results are presented to validate theoretical results. The design of cooperative observers sheds some light on the solution of some other real-world problems, such as the design of networked location-based services and sensor networks.
This paper presents a method of texture analysis based on regional rank. The method namely regional rank coding is to first determine the rank of the gray level of each pixel in a region whose size and shape depend on...
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This paper presents a method of texture analysis based on regional rank. The method namely regional rank coding is to first determine the rank of the gray level of each pixel in a region whose size and shape depend on the gray level of the pixel being processed, the code of the regional rank is then calculated according to the found rank and also the gray level of processed pixel. This encoding allows highlighting the texture information while reducing the number of gray level. Texture is then characterized by attributes representing the frequency codes. Tests performed including image segmentation, show a good performance with an estimated classification accuracy exceeding 93%. This confirms the relevance of the proposed attributes and suggests good prospects for our method.
Active fault isolation of parametric faults in closed-loop MIMO systems are considered in this paper. The fault isolation consists of two steps. The first step is group-wise fault isolation. Here, a group of faults is...
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