Continuous-time (CT) modeling has proven to provide improved sample efficiency and interpretability in learning the dynamical behavior of physical systems compared to discrete-time (DT) models. However, even with nume...
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The optimization of simple two-degree-of-freedom control systems is very easy with the new parameterizations, as Youla, Keviczky-Banyasz, etc. The comparison of their model-based versions is important at the practical...
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The capability of shifting the electricity generation or consumption to proper time of the day,also defined as energy shift(ES),is the key factor to ensure the power balance,especially under high penetration of variab...
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The capability of shifting the electricity generation or consumption to proper time of the day,also defined as energy shift(ES),is the key factor to ensure the power balance,especially under high penetration of variable renewable energy(VRE).However,the ES is not characterized and traded as an independent product in current market *** this letter,the marginal utility of an ES is assessed and leveraged to characterize the effective ES,while a novel market scheme is proposed considering the trading of both ES and energy level(EL).The proposed scheme can well integrate ES producers such as virtual power plants that cannot be rewarded sufficiently to actively participate in the current market because they are principally labeled as EL ***,the novel concept and mechanism are illustrated by a numerical study and verified to outperform the existing price schemes on integrating the ES resources and VRE.
Automatically repairing a bug can be a time-consuming process especially for large-scale programs owing to the significant amount of time spent recompiling and reinstalling the patched *** reduce this time overhead an...
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Automatically repairing a bug can be a time-consuming process especially for large-scale programs owing to the significant amount of time spent recompiling and reinstalling the patched *** reduce this time overhead and speed up the repair process,in this paper we present a recompilation technique called weak *** weak recompilation,we assume that a program consists of a set of components,and for each candidate patch only the altered components are recompiled to a shared *** original program is then dynamically updated by a function indirection *** advantage of weak recompilation is that redundant recompilation cost can be avoided,and while the reinstallation cost is completely eliminated as the original executable program is not modified at *** maximum applicability of weak recompilation we created WAutoRepair,a scalable system for fixing bugs with high efficiency in large-scale C *** experiments on real bugs in widely used programs show that our repair system significantly outperforms Genprog,a wellknown approach to automatic program *** the wireshark program containing over 2 million lines of code,WAutoRepair is over 128 times faster in terms of recompilation cost than Genprog.
The emergence of software-intensive systems connecting physical devices to network-based applications involves new design challenges. As an example, flexible manufacturing systems composed of multiple networked device...
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The emergence of software-intensive systems connecting physical devices to network-based applications involves new design challenges. As an example, flexible manufacturing systems composed of multiple networked devices in interaction with the physical world, are subject to imprecision and to unpredictable breakdowns. Applications and control software are therefore highly complex, and must operate in heterogeneous and rapidly changing environments. To address these issues, we describe an approach using models at runtime for efficiently monitoring and adapting the software controlling mechatronic devices. We consider a decentralized system, in which each device is represented as an agent. Each agent maintains a model integrating a representation of itself, of its environment and of the agent society, and uses this model to detect inconsistencies, to envision possible future states and to create explanations based on past states. In this paper, we focus on presenting our model and highlighting the results, benefits and challenges arising from using models at run-time with networked physical devices.
This paper deals with the control problem of actuator fault and saturation for hypersonic flight vehicles. Different from previous back-stepping design, the scheme is on transforming the dynamics into the"predict...
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This paper deals with the control problem of actuator fault and saturation for hypersonic flight vehicles. Different from previous back-stepping design, the scheme is on transforming the dynamics into the"prediction function". The controller is constructed with high gain observer, while the effect of fault and saturation is compensated by neural networks. For the input saturation, the auxiliary dynamics is included to design the adaptive learning law. The neural weights and filtered tracking error are guaranteed to be bounded via Lyapunov approach. The effectiveness of the proposed method is verified by simulation of winged-cone model.
Two semiparametric algorithms to recover a nonlinear characteristic in a Hammerstein system are proposed. Both are obtained by incorporating a parametric component into the kernel nonparametric algorithm. For small nu...
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A simple model for the contrast-detection autofocusing problem is considered. The variance of the image is examined as a focus function. We prove that the standard convergence rate of the variance estimate (empirical ...
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In order to improve the stability of control and path guidance of rigid-soft hybrid snake-like robot, a crawling path guidance method of rigid-soft hybrid snake-like robot based on composite collaborative filtering is...
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