This article deals with the exploitation of magnetic susceptibility artifacts in magnetic resonance imaging (MRI) for the recognition of metallic delivery capsules. The targeted application is a closed-loop position c...
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When tracking people or other moving objects with a mobile robot, detection is the first and most critical step. At first most researchers focused on the tracking algorithms, but recently AdaBoost (supervised machine ...
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Presented paper deals with processing of electron-microscope images of Picea Abies stomas. A stoma character strongly depends on the level of air pollution in the area where the tree grows - as the stoma epidermis cov...
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This paper is concerned with the problem of H ∞ filtering for a class of discrete-time linear parameter-varying (LPV) systems with Markovian switching under data missing and quantization. A stochastic variable is us...
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This paper is concerned with the problem of H ∞ filtering for a class of discrete-time linear parameter-varying (LPV) systems with Markovian switching under data missing and quantization. A stochastic variable is used to describe the model of the data missing phenomenon. Then a H ∞ filter is designed to guarantee the filtering error dynamics is stochastically stable with H ∞ performance. The existence of the desired H ∞ filter is ensured by some sufficient conditions expressed in terms of parameterized linear matrix inequalities (PLMIs). The proposed theoretical findings are validated by numerical results.
In this paper, it is applied a method for parameter estimation of ship linear maneuvering models with a standard zig-zag maneuver. The parameter estimation is made based on prediction error methods, using the Kalman f...
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In this paper, it is applied a method for parameter estimation of ship linear maneuvering models with a standard zig-zag maneuver. The parameter estimation is made based on prediction error methods, using the Kalman filter for the states estimation. It is suggested two cases of study: one in simulation and another one with data acquired in open waters. Thus, it is posible to quantify the statistical properties of the estimator by means of Monte Carlo simulation and to validate the model with simulated and acquired data.
This paper describes the application of an impedance spectroscopy based analyser in combination with standard off-gas measurements for on-line monitoring of an intracellular biopolymer accumulation during a bioproduct...
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RSS feeds provide a fast and effective way to publish up-to-date information or renew outdated contents for information subscribers. So far RSS information is mostly managed by content publishers but Internet users ha...
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RSS feeds provide a fast and effective way to publish up-to-date information or renew outdated contents for information subscribers. So far RSS information is mostly managed by content publishers but Internet users have less initiative to choose what they really need. More attention needs to be paid on techniques for user-initiative information discovery from RSS feeds. In this paper, a quantitative semantic matchmaking method for the RSS based applications is proposed. Semantic information is extracted from an RSS feed as numerical vectors and semantic matching can then be conducted quantitatively. Ontology is applied to provide a common-agreed matching basis for the quantitative matchmaking. In order to avoid semantic ambiguity of literal statements from distributed and heterogeneous RSS publishers, fuzzy inference is used to transform an individual-dependent vector into an individual-independent vector. Semantic similarities can be revealed as the result.
This paper develops an approach to dealing with the global robust output regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by using output feedback control...
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A cognitive collaborative multi-agent control architecture that addresses real-world control problems for swarms of mobile robots is proposed. The swarm's emergent behaviour is obtained by using a distributed Part...
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ISBN:
(纸本)9783902661890
A cognitive collaborative multi-agent control architecture that addresses real-world control problems for swarms of mobile robots is proposed. The swarm's emergent behaviour is obtained by using a distributed Particle Swarm Optimization inspired algorithm. A swarm-user interface is also presented and offers a way for a human operator to interact with and guide the robotic swarm without limiting its emergent intelligence. The architecture is designed as a multi-agent system developed using JADE Framework. Three types of agents were defined: local behaviour agent, social behaviour agent and graphical user interface (GUI) agent. Each robot is associated with a pair of a local and a social behaviour agents which implement the reactive component and the interaction between the robots. The swarm forms a hierarchical structure composed of subswarms and neighbourhoods based on tasks and goals defined by the user or the swarm itself. The GUI agent is used as a link between the human expert and the swarm. The architecture was tested on a swarm of e-puck robots.
This paper considers the robust output regulation problem for nonlinear time-varying systems with a time-varying exosystem. A framework for converting the problem into a stabilization problem of an augmented system is...
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ISBN:
(纸本)9787894631046
This paper considers the robust output regulation problem for nonlinear time-varying systems with a time-varying exosystem. A framework for converting the problem into a stabilization problem of an augmented system is established. The problem is solved for a class of time-varying output feedback systems with a time-varying exosystem.
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