With the rapid development of network technology, billions of industrial controlsystems (ICSs) and the Internet of Things (IoTs) have been equipped with network communication functions. This brings many network secur...
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作者：
Béla TakaricsBálint VanekControl Systems Group
Department of Electrical Engineering Eindhoven University of Technology 5612 AE Eindhoven The Netherlands Control Systems Technology
Department of Mechanical Engineering Eindhoven University of Technology 5612 AE Eindhoven The Netherlands
This paper presents a flutter suppression control design methodology for the aircraft designed within the European research project, FLEXOP. The aim of the flutter suppression controller is to stabilize the aeroelasti...
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This paper presents a flutter suppression control design methodology for the aircraft designed within the European research project, FLEXOP. The aim of the flutter suppression controller is to stabilize the aeroelastic modes and to extend the aircraft’s flutter free envelope. The first step is to develop a low order control oriented linear parameter varying (LPV) model of the aircraft. This is based on the "bottom-up" modeling approach. The key idea is to reduce the order of the subsystems that form the nonlinear aeroservoelastic model. A critical requirement of the low order model is to capture the flutter modes accurately. The second step is the control design, which is based on polytopic LPV representation. The Tensor Product (TP) type polytopic model of the aircraft is obtained with TP model transformation. TP model transformation in a numerical method based on the higher order singular value decomposition (HOSVD). It can generate various types of convex representations for LPV systems and offers a trade-off between the accuracy and the complexity of the resulting TP model. The control structure is a parameter-varying state feedback and observer. The control design specifications include asymptotic stability, robustness against parameter variations influencing the flutter modes and constraint on the control values in order to keep the control signals low. The developed control system is validated by simulation using the high-fidelity, nonlinear model.
In this paper, we address the problem of steering the input of a convex function to a value that minimizes the function under a convex constraint. We consider the case where the constraint cannot be violated of more t...
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In this paper, we address the problem of steering the input of a convex function to a value that minimizes the function under a convex constraint. We consider the case where the constraint cannot be violated of more than a user-defined value during the whole transient phase. The mathematical expression of both the cost function and the constraint are assumed to be unknown. The only information available are the on-line values of the cost and the constraint. To tackle this problem, an optimization law, based on a modified-barrier function, and involving the gradient of both the cost function and the constraint, is firstly designed. The Lie bracket formalism is then exploited to approximate this law, by combining time-periodic signals with the on-line measurements of both the cost and the constraint. The stability property of the resulting constrained extremum seeking system is proved, and its effectiveness is shown in simulation.
Human mobility data are used to evaluate the effectiveness of crowd control measures and delineate geographical zones and other epidemic prevention decisions for the COVID-19 epidemic. This application experience also...
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Surface texture parameters are important indicators for understanding and controlling manufacturing processes. Deriving these parameters is however beset by ambiguities and uncertainties. The inclusion of confidence b...
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A method to decompose a motion-planning problem into several segments is presented. It is based on a modification of the original problem, such that certain variables at the splitting points are considered to be preco...
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A method to decompose a motion-planning problem into several segments is presented. It is based on a modification of the original problem, such that certain variables at the splitting points are considered to be precomputed and thus fixed and the remaining variables are obtained by performing Lagrange relaxation. The resulting dual problem is split into several subproblems, allowing parallel computation. The method is formalized as a computational algorithm and evaluated in a safety critical double lane-change situation. The resulting maneuver has close-to-optimal behavior and, for certain initialization strategies, it is obtained in shorter computational time compared to computing the full maneuver in one step.
Live-maintaining work is essential for continuous power supply to the substation. To improve the safety and efficiency of live-maintaining work, this paper proposes an equipotential live-maintaining robot system suita...
Live-maintaining work is essential for continuous power supply to the substation. To improve the safety and efficiency of live-maintaining work, this paper proposes an equipotential live-maintaining robot system suitable for 110kV voltage levels. Considering the narrow space, complex working conditions and strong electromagnetic interference in substations, binocular vision technology, manipulator trajectory planning algorithm based on time-energy optimization, high voltage electromagnetic shielding technology are utilized to develop the system, and the live-maintaining robot is successfully applied in actual substation. By accurately identifying and locating the joint bolts and insulator, the robot system can achieve equipotential live-disassemble, live-assemble the joint bolts within 18 minutes and live-clean insulator within 5 minutes, demonstrating its the effectiveness and practicability.
We perform a Koopman spectral analysis of elementary cellular automata (ECA). By lifting the system dynamics using a one-hot representation of the system state, we derive a matrix representation of the Koopman operato...
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There are many software tools available for students to implement PID control laws, but these software tools are not all equally flexible, easy to use, accessible and hence effective. This paper gives a brief review o...
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