Rapid urban growth and increased vehicle use present major challenges for traditional transportation systems, causing congestion, accidents, and pollution. Traffic jams lead to delays, economic losses, and accidents. ...
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The hand-eye calibration problem represents a major challenge in robotics, arising from the widespread usage of robotic systems along with robot-mounted sensors. Briefly, consisting of estimating the position and orie...
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This paper presents the concepts of d-upper boundedness and weakly δ-conservativeness for general Timed Continuous Petri nets. The analysis is extended to the case when the exact values of the firing rates of the tra...
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This paper proposes a control strategy for a high power Externally Excited Synchronous Machine (EESM) based on Simple Adaptive control technique. A cascade control scheme is designed in the rotor reference frame. In t...
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The paper proves a new sufficient condition for the stability of switched linear systems with mode-dependent average dwell-time (MDADT). This condition is formulated in general terms of matrix-measure inequalities tha...
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For a timed continuous Petri net (TCPN), the paper introduces a new concept of boundedness based on the existence of (positive) invariant sets with respect to the marking of the net, sets that are defined by weighted ...
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For polytopic matrices and polytopic systems we introduce the concept of diagonal stability with respect to a p-norm, 1 ≤ p ≤ ∞. We address both the discrete-time and the continuous-time cases. We prove the equival...
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Learning by demonstration, human-to-robot skills transfer or visual perception and control are tasks that can be tackled with techniques that combine machine vision and deep learning. In this paper, we take a step fur...
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This paper introduces a novel distributed optimization framework for large-scale AC Optimal Power Flow (OPF) problems, offering both theoretical convergence guarantees and rapid convergence in practice. By integrating...
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In this paper we focus on class imbalance issue which often leads to sub-optimal performance of classifiers. Despite many attempts to solve this problem, there is still a need to look for better ones, which can overco...
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