In the modern digital world, the use of animated applications has increased significantly and such applications have quietly become an integral part of life. Capturing human motions is a fundamental aspect of these ap...
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The paper introduces a long-term control management to design and verify the sleep-based power-on system by using a set of Xilinx SOC processing chips and external memory (Micron) DDR3, 4 bit PROM SPI FLASH, TF-CARD, ...
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The main objective of this paper is to propose a perspective and revise views on the origin and consequences of the phenomenon of asymmetry in the dynamics of pneumatic actuators. It is important to note that awarenes...
The main objective of this paper is to propose a perspective and revise views on the origin and consequences of the phenomenon of asymmetry in the dynamics of pneumatic actuators. It is important to note that awareness of this phenomenon is not widespread in either industry or academia. The paper identifies and presents a detailed analysis of the surprising dynamic properties of single-acting pneumatic actuators widely used in process control engineering. The analysis was carried out based on analytical, simulation and experimental studies. The practical result of the analysis is a set of rules and recommendations useful for process engineers, maintenance services and designers of automaticcontrolsystems. In this sense, the paper combines theory, experiment and practice.
Quadruped robots have gained much attention in recent years due to their potential ability to handle various kinds of terrain. To control the quadruped robots to perform tasks, high frequency (up to 400Hz) state estim...
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Data-driven control of nonlinear systems with rigorous guarantees is a challenging problem as it usually calls for nonconvex optimization and often requires the knowledge of the true basis functions of the unknown sys...
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Data-driven control of nonlinear systems with rigorous guarantees is a challenging problem as it usually calls for nonconvex optimization and often requires the knowledge of the true basis functions of the unknown system dynamics. To tackle these drawbacks, this work is based on a data-driven polynomial representation of general nonlinear systems exploiting Taylor polynomials. Thereby, we design state-feedback laws that render a known equilibrium globally asymptotically stable while operating with respect to a desired quadratic performance criterion. The calculation of the polynomial state feedback boils down to a sum-of-squares optimization problem, and hence to computationally tractable linear matrix inequalities. Moreover, we examine state-input data in presence of Gaussian noise by Bayesian inference to overcome the conservatism of deterministic noise characterizations from recent data-driven control approaches for Gaussian noise.
Insulated Gate Bipolar Transistor (IGBT) are widely used in electric vehi-cles, aerospace and other fields with high reliability requirements. This paper first analyzes its failure mechanism according to the internal ...
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In this paper, we consider the analysis and control of continuous-time nonlinear systems to ensure universal shifted stability and performance, i.e., stability and performance w.r.t. each forced equilibrium point of t...
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In this paper, a GM(1, 1) polymorphic management prediction algorithm based on a dormant system is proposed, which first obtains the optimal data quantity m through simulation, and then the data used is forecasted onl...
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The spark-ignited (SI) hydrogen combustion engine has the potential to noticeably reduce greenhouse gas emissions from passenger cars. To prevent nitrogen oxide emissions and to increase fuel efficiency and power outp...
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In this paper, we propose a novel model compression method based on knowledge distillation, that is called Pre-Distillation, for object detection task. First, the full model is 'squashed' (by the instructor) t...
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