In this paper, using the fuzzy theory and gray theory, a concept of the degree of fuzzy infection and a new reliability analysis method based on the relation of fuzzy infection were proposed, and the mathematical mode...
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It is well known that the nonblocking supervisory control problem is NP-hard, subject in particular to combinatorial state explosion that is exponential in the number of system components. To manage this complexity we...
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As one of the most important characteristics of structural steels, toughness is assessed by the Charpy V-notch impact test. The absorbed impact energy and the transition temperature defined at a given Charpy energy le...
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As one of the most important characteristics of structural steels, toughness is assessed by the Charpy V-notch impact test. The absorbed impact energy and the transition temperature defined at a given Charpy energy level are regarded as the common criteria for toughness assessment. This paper aims at establishing generic toughness prediction models which link materials compositions and processing conditions with Charpy impact properties. Hybrid knowledge-based neural-fuzzy modeling techniques which incorporate linguistic knowledge into data-driven neural-fuzzy models have been used to develop the Charpy properties prediction models for thermomechanically controlled rolled (TMCR) steels. Two basic ways of knowledge incorporation are introduced to improve the performance of the obtained fuzzy models. Simulation experiments show that both numeric data and linguistic information can be combined in a unified framework and that both Charpy impact energy and the impact transition temperature (ITT) can be predicted by the same model
This paper deals with the data-driven design of observer based FDI systems. The basic idea is to identify parity space and the related matrices, instead of a state space model of the process under consideration, direc...
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This paper studies the open problem of reduced- and fixed-order H ∞ synthesis. Often, this non-convex constraint is tackled with iterative convex optimisation procedure over LMI constraints. In this paper, an evoluti...
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This paper studies the open problem of reduced- and fixed-order H ∞ synthesis. Often, this non-convex constraint is tackled with iterative convex optimisation procedure over LMI constraints. In this paper, an evolutionary approach is proposed such that the trial and error approach involved in LMI techniques might be overcome. The order of the controller is optimised as a multiobjective problem over a set of controller structures, H ∞ , and time-domain specifications. Numerical results are presented with its counterpart the LMI procedure design, that show the advantage of investigating the Pareto optimal set resulting from the design procedure proposed.
in this paper, a model-based scheme is presented for the detection and isolation of sensor faults in the vehicle lateral dynamics controlsystems. Core of the scheme is the handling of model uncertainties. This scheme...
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We consider a motion planning method based on cooperative biological swarming models with virtual attractive and repulsive potentials (VARP). We derive a map between the model and fan speeds for the Kelly, a second or...
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A novel force model for needle insertion into soft tissues has been developed for virtual reality and haptics based simulation of percutaneous therapies. The forces are divided into two parts, stiffness force and fric...
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This paper demonstrates the testbed implementation of a simple algorithm for cooperatively locating and following environmental boundary in two-dimensional space. The algorithm alternates between clockwise and counter...
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In this paper, we aim at developing a System-on-Chip, SoC, which can capture image as well as produce vehicle lane map at the same time. We adopt Peak-Finding based lane detection algorithm that can achieve high recog...
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