The increasing complexity of the business processes requires automated methods for trouble-shooting and debugging of the process model in operation. This paper proposes mechanism of fault detection based on the concep...
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ISBN:
(纸本)9789897581205
The increasing complexity of the business processes requires automated methods for trouble-shooting and debugging of the process model in operation. This paper proposes mechanism of fault detection based on the concept of backwards reachability for the coloured workflow nets. The formal verification methods defined for coloured Petri nets such as state space method or place invariants declaration suffer from fast-growing computational complexity. The article offers the set of firing rules for backwards token-play on coloured workflow net. This method helps to detect resource-related failures of the two most common types: "the missing arc" fault (the resource was not initialized) and "wrong expression fault" (there is no proper resource).
Error properties of a generic two-degree of freedom control system is investigated. It is shown that there is a considerable difference between inverse stable and inverse unstable processes. New direct relationships a...
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Error properties of a generic two-degree of freedom control system is investigated. It is shown that there is a considerable difference between inverse stable and inverse unstable processes. New direct relationships are introduced for identification and optimization errors. For inverse unstable case these errors consist of systematic and random parts. The new results help to construct new algorithms for simultaneous robust identification and control
The paper investigates the H 2 optimality of the realizability loss in a decomposition of the sensitivity function for open-loop stable Youla-parametrized generic two-degree of freedom (TDOF) control systems. Conditi...
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The paper investigates the H 2 optimality of the realizability loss in a decomposition of the sensitivity function for open-loop stable Youla-parametrized generic two-degree of freedom (TDOF) control systems. Conditions for integrating regulators are also introduced.
The global and local stability of process systems in generalized Lotka-Volterra form is studied in this paper using entropy-like and quadratic Lyapunov function candidates. The global stability check for LV models is ...
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The sensitivity function can be decomposed into three major parts: design-, realizability- and modeling-loss. The paper investigates the optimality of the second term in infinite norm spaces and proposes a new iterati...
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The sensitivity function can be decomposed into three major parts: design-, realizability- and modeling-loss. The paper investigates the optimality of the second term in infinite norm spaces and proposes a new iterative algorithm for the solution.
Quadrotors play a significant role in our lives and are transforming our *** cable-suspended loads is an unavoidable quadrotor application trend and a hot research topic in the control ***,the load swing and unpredict...
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Quadrotors play a significant role in our lives and are transforming our *** cable-suspended loads is an unavoidable quadrotor application trend and a hot research topic in the control ***,the load swing and unpredictability pose significant challenges to the quadrotor's *** this paper,an anti-swing controller with an inner-outer control strategy for the quadrotor-slung load transportation system is *** facilitate the controller design,the outer position dynamics are restructured in the form of ***,a virtual controller is created to force the underactuated states to the dynamic surface to ensure the position subsystem's *** improve robustness,an adaptive law is used to eliminate the effects of uncertain cable ***,a dynamic surface controller for the inner attitude subsystem is presented to drive the actual force to the virtual *** is demonstrated that the control strategy can stabilize the quadrotor despite mass and cable length *** results are provided to demonstrate the efficacy and durability of the proposed method.
The paper proposes a look-ahead control method in which traffic information is considered. Information about the local traffic is an important factor considering the wider transportation system. The purpose of the met...
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A new approach to the cross-layer design of wireless networked control systems under limited computing and energy resources is presented. The idea is to provide a methodology that jointly takes the aspects of control ...
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In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the curr...
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In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.
With the development of science and technology,graph convolutional network has made great progress in improving the accuracy of action ***,there still exists some deficiencies in current ***,the human skeleton point c...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
With the development of science and technology,graph convolutional network has made great progress in improving the accuracy of action ***,there still exists some deficiencies in current ***,the human skeleton point coordinates entering into the network are barely refined,which may cause large ***,the second-order information(the length and direction of bones),which can reflect action characteristics discriminatively,is rarely *** solve the above issues,a two stream graph convolutional network with pose refinement for skeleton based action recognition is ***,we use an adaptive block to to help improve the *** test our method on Kinetics dataset and the experiment show it can get better results than some recent methods,which plays a positive role in future research.
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