The paper studies the effect of the manipulation of the polytopic TP model representation of a given quasi Linear Parameter Varying (qLPV) state-space model on the control performance results. The investigated model i...
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ISBN:
(纸本)9781479986989
The paper studies the effect of the manipulation of the polytopic TP model representation of a given quasi Linear Parameter Varying (qLPV) state-space model on the control performance results. The investigated model in the case study consists of the extended, Stribeck friction included three degrees of-freedom version of the aero elastic wing section of the Nonlinear Aero elastic Test Apparatus (NATA) model. The investigation is carried out through the Tensor Product (TP) model transformation based control Design Framework, which bridges the manipulation of the polytopic representation and Linear Matrix Inequality (LMI) based control design methods. Different TP model representations of the given qLPV model are derived: a TP model representation with a sum-normalized non-negative (SNNN) convex hull, a TP model representation with a close to-normal (CNO) convex hull and interpolated TP model representations. Upon these representations Linear Matrix Inequality based design methods are applied to attain the controller and observer system components. The resulting control systems are tested through numerical simulation and their performance are compared and evaluated. The paper presents results, where the interpolated representations lead to better control performance results, which indicates, that the manipulation of the polytopic TP model representation may lead to further potential optimization possibilities. Also, this shows, that in order to find the optimal solution the manipulation is a necessary and important step.
A method for the active fault-tolerant control (FTC) of systems modeled by deterministic input/output (I/O) automata is presented. In the fault-free case, a given controller moves the system such into a specified targ...
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The Symposium on "New Frontiers in Human-Robot Interaction (HRI)" is the fourth of a series of symposia held in conjunction with the AISB convention. Its topics cover cutting-edge interdisciplinary research ...
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The Symposium on "New Frontiers in Human-Robot Interaction (HRI)" is the fourth of a series of symposia held in conjunction with the AISB convention. Its topics cover cutting-edge interdisciplinary research on understanding, designing, and evaluating robotic systems for and with humans. Its main difference to other HRI-related conferences and workshops is its inclusiveness for exploratory research and the amount of time for open discussion. This year's symposium consists of six sessions covering topics such as verbal and non-verbal interaction, people's perception of robots, and ethical issues. Moreover, it includes keynote talks by Mark Coeckelbergh and Angelika Peer and a panel on the topic "Robot Perception and Acceptance".
In this paper,we focus on energy management of distributed generators(DGs) and energy storage system(ESS) in microgrids(MG) considering uncertainties in renewable energy and load *** MG energy management problem is fo...
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ISBN:
(纸本)9781479919819
In this paper,we focus on energy management of distributed generators(DGs) and energy storage system(ESS) in microgrids(MG) considering uncertainties in renewable energy and load *** MG energy management problem is formulated as a two-stage stochastic programming model based on optimization ***,the optimization model is decomposed into a mixed integer quadratic programming problem by using discrete stochastic scenarios to approximate the continuous random variables.A Scenarios generation approach based on time-homogeneous Markov chain model is proposed to generate simulated time-series of renewable energy generation and load ***,the proposed stochastic programming model is tested in a typical LV network and solved by Matlab optimization *** simulation results show that the proposed stochastic programming model has a better performance to obtain robust scheduling solutions and lower the operating cost compared to the deterministic optimization modeling methods.
In this article, we present the user-centered development of the service robot IURO. IURO's goal is to find the way to a designated place in town without any previous map knowledge, just by retrieving information ...
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For cascaded systems, interactions among individually designed power subsystems may cause the instability of the whole system. Regulating the input impedance of the load converter is an effectively way to solve this p...
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ISBN:
(纸本)9781479985876
For cascaded systems, interactions among individually designed power subsystems may cause the instability of the whole system. Regulating the input impedance of the load converter is an effectively way to solve this problem, however, one big challenge of this method is how to consider the stability of cascaded system and the dynamic performance of load converter together. In light of this, this paper proposes a parallel-virtual-impedance (PVI) control strategy to improve the input impedance of the load converter. The proposed virtual impedance is in parallel with the load converter, via the proposed virtual impedances, the magnitude and phase of the input impedance of the load converter is modified only in a small range of frequency. As a result, this method not only solves the instability problem of the cascaded system, but also keeps a good dynamic performance for load converter. This paper discusses the concept, realization and design consideration of the proposed strategy in detail. Finally, a 100 W cascaded system, which consisting of an LC filter and a 48V-12V buck converter, is built to verify the correctness of the proposed methods 1 .
This paper proposes a self-organising networked controller for disturbance attenuation in multi-agent systems. A disturbance affecting a single agent has some effect on all neighbouring agents through the communicatio...
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Point matching is a problem of finding the optimum matching between two sets of key points which are extracted from the surfaces of objects. A popular approach represents the features of a set of points with a graph m...
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ISBN:
(纸本)9781479970995
Point matching is a problem of finding the optimum matching between two sets of key points which are extracted from the surfaces of objects. A popular approach represents the features of a set of points with a graph model. Traditionally, the measurement applied in the graph model is the Euclidian distance, which is not suitable for objects with non-rigid deformations. In this paper, we propose a novel graph model called the geodesic graph model (GGM) which uses a geodesic-like distance as its measurement. GGM can better tackle non-rigid deformations because the geodesic-like distance is a kind of invariant structural feature during non-rigid deformations. The building process of the GGM is justified under the assumption that all the key points are spanning on a manifold. To further handle the deviations of key point locations, we come up with a feature weighting process to increase our algorithm's robustness. We conduct several experiments on different kinds of deformations over several widely used datasets. Experimental results demonstrate the effectiveness of our algorithm.
Geomechanical conditions of use of the utilized tails of enrichment of metallic mineral raw materials as the hardening stowage mix are proved. The grounds for the geomechanical balance control of the mountain mass pre...
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