This article proposes a novel real time bug like algorithm for performing a dynamic smooth path planning scheme for an articulated vehicle under limited and sensory reconstructed surrounding static environment. In the...
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We study submanifold stabilization problems from an input-output perspective. For doing so, we consider feedback interconnections of relations of signals whose squared distance to a given submanifold has finite integr...
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ISBN:
(纸本)9781479978878
We study submanifold stabilization problems from an input-output perspective. For doing so, we consider feedback interconnections of relations of signals whose squared distance to a given submanifold has finite integral. In our framework, output feedback passivity of the feedforward relation and input strict passivity of the feedback relation with sufficiently large excess of passivity, both with respect to the integral squared distance of their signals to the submanifold under consideration, is sufficient for submanifold stabilization. We show that the distance of the signals in the feedback interconnection to the submanifold remains bounded for bounded exogenous inputs, thus extending the feedback theorem for passive systems to submanifold stabilization problems.
The effect of absolute and relative humidity on the charge generated in the human body during different human activities was investigated. Environmental conditions were varied between a relative humidity of 8% to 45% ...
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In bulk power systems, spectral analysis of poorly damped modes is commonly used for identifying local and interarea oscillations. Conventionally, these oscillations are mitigated by carefully tuned decentralized cont...
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ISBN:
(纸本)9781479978878
In bulk power systems, spectral analysis of poorly damped modes is commonly used for identifying local and interarea oscillations. Conventionally, these oscillations are mitigated by carefully tuned decentralized controllers. In this paper, we depart from the modal perspective and employ non-modal tools to analyze and control inter-area oscillations. Our input-output analysis examines power spectral density and variance amplification of stochastically forced systems and offers new insights relative to modal approaches. To improve upon the limitations of conventional wide-area control strategies, we also study the problem of signal selection and optimal design of sparse and block-sparse wide-area controllers. In our approach, we preserve rotational symmetry of the power network by allowing only relative angle measurements in the distributed controllers. We examine performance tradeoffs and robustness of sparse and block-sparse control architectures by studying the NETS-NYPS test system, and show that optimal retuning of fully-decentralized controllers can effectively guard against local and inter-area oscillations.
Agents aimed at accomplishing task specific goals require reasoning and learning capabilities;their internal architecture is built using artificial intelli- gence techniques like problem solving, knowledge representat...
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Agents aimed at accomplishing task specific goals require reasoning and learning capabilities;their internal architecture is built using artificial intelli- gence techniques like problem solving, knowledge representation or planning. But agents aimed at interacting with human users are expected to know more than that: they need to show believable behavior and social abilities. Emotions, with their influence on behavior and cognitive processes, are able to provide the required abilities. We believe that modeling human emotional mechanisms as faithfully as possible makes an agent suitable for performing in a human-agent interaction en- vironment. In this paper we present such an architecture, which aims at modeling the human affective mechanisms of primary and secondary emotions, personality and resource usage. The agent is integrated in a human-agent interaction sce- nario, showing how its affect infuences its behavior and the activities during a lesson in an e-learning system.
Application of piezoelectric elements to active reduction of bending vibrations of the beams is known well in the literature. During vibrations, an external excitation may vary in the time domain, including its form i...
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Application of piezoelectric elements to active reduction of bending vibrations of the beams is known well in the literature. During vibrations, an external excitation may vary in the time domain, including its form in the frequency domain. It should have influence on their response. The problem of proper selection of the control parameter in the control algorithm used to reduce vibrations arises. In the article, simulations of a control algorithm based on detection of bending moment are analytically tested. The solution for the transient type of vibrations are obtained by the finite difference method (FDM). Analysis for two separated natural modes was performed. The analysis shows the possibility to design a control algorithm based on detection of the bending moment.
This paper considers the problem of identifiability and parameter estimation of single-input-single-output, linear, time-invariant, stable, continuous-time systems under irregular and random sampling schemes. Conditio...
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The main goal of the study is modelling of radiation induced bystander effect using evolutionary game theory. A payoff table for three different phenotypes (game-theoretic strategies) contains: costs/profits of bystan...
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In this paper we present the toolbox DuQuad specialized for solving general convex quadratic problems arising in many engineering applications (e.g. embedded predictive control problems). Several versions of dual firs...
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ISBN:
(纸本)9781479978878
In this paper we present the toolbox DuQuad specialized for solving general convex quadratic problems arising in many engineering applications (e.g. embedded predictive control problems). Several versions of dual first order methods are implemented in the programming language C, and optimized for low iteration complexity and low memory footprint. The toolbox has a dynamic Matlab interface which make the process of testing, comparing, and analyzing the algorithms simple. The algorithms are implemented using only basic arithmetic and logical operations and thus are suitable to run on low cost embedded hardware. It is shown that if an approximate solution is sufficient for a given application, there exists problems where some of the implemented algorithms obtain the solution faster than state-of-the-art commercial solvers.
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