in this paper a new design for controlling dynamical systems has been applied to buck converters driven with a PWM centered pulse and (Zero Average Dynamics) ZAD-strategy. Chaotic operation has been stabilized with th...
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Distributed sensor networks (DSNs) are being developed for a wide range of applications. A sensor networks consist of a large number of nodes performing distributed sensing/event detection. Sensor nodes are energy-con...
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Distributed sensor networks (DSNs) are being developed for a wide range of applications. A sensor networks consist of a large number of nodes performing distributed sensing/event detection. Sensor nodes are energy-constrained, efficient routing is essential for increasing the lifetime of a sensor network. A DSN requires interoperability, low latency, and low power consumption in order to operate for long periods of time. Due to power constraints, DSN should be able to operate at low data rates and still delivering acceptable quality of service. In a DSN the energy required for communications tasks is usually much greater than the energy required for computational tasks. To reduce the data communication between nodes and to maximize the network lifetime, we propose to use the mobile-agent paradigm. In mobile-agent based DSN9 instead of moving data from an individual sensor node to a processing center as in the client-server based computing, mobile agents are dispatched from the processing center to the sensor nodes and process data locally. By moving code to the data, a mobile agent can reduce latency, bandwidth and vulnerability to network disconnection.
We consider a motion planning method based on cooperative biological swarming models with virtual attractive and repulsive potentials (VARP). We derive a map between the model and fan speeds for the Kelly, a second or...
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We consider a motion planning method based on cooperative biological swarming models with virtual attractive and repulsive potentials (VARP). We derive a map between the model and fan speeds for the Kelly, a second order vehicle on the Caltech multi vehicle wireless testbed. The motion planning map results leads to the development and implementation of a point to point controller which is subsequently used as part of a cooperative searching algorithm. The VARP control method is scalable and can be used to organize a swarm of robotic vehicles.
Developing robust and reliable control code for autonomous mobile robots is difficult, because the interaction between a physical robot and the environment is highly complex, it is subject to noise and variation, and ...
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Developing robust and reliable control code for autonomous mobile robots is difficult, because the interaction between a physical robot and the environment is highly complex, it is subject to noise and variation, and therefore partly unpredictable. This means that to date it is not possible to predict robot behaviour, based on theoretical models. Instead, current methods to develop robot control code still require a substantial trial-and-error component to the software design *** iterative refinement could be reduced, we argue, if a more profound theoretical understanding of robot-environment interaction existed. In this paper, we therefore present a modelling method that generates a faithful model of a robot's interaction with its environment, based on data logged while observing a physical robot's behaviour. Because this modelling method — nonlinear modelling using polynomials — is commonly used in the engineering discipline of system identification, we refer to it here as “robot identification”.We show in this paper that using robot identification to obtain a computer model of robot-environment interaction offers several distinct advantages:*** compact representations (one-line programs) of the robot control program are *** model can be analysed, for example through sensitivity analysis, leading to a better understanding of the essential parameters underlying the robot's behaviour, *** generated, compact robot code can be used for cross-platform robot programming, allowing fast transfer of robot code from one type of robot to *** demonstrate these points through experiments with a Magellan Pro and a Nomad 200 mobile robot.
We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda reson...
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We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda resonance into the realm of orbits crossing Mars’ orbit are computed. In contrast to common numerical approaches, our technique does not depend on single long term simulations of the underlying model. Thus, our statistical results are particularly reliable since they are not affected by a dynamical behavior which is almost nonergodic (i.e., dominated by strongly almost invariant sets).
In this paper a new design for controlling dynamical systems has been applied to buck converters driven with a PWM centered pulse and (Zero Average Dynamics) ZAD-strategy. Chaotic operation has been stabilized with th...
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In this paper a new design for controlling dynamical systems has been applied to buck converters driven with a PWM centered pulse and (Zero Average Dynamics) ZAD-strategy. Chaotic operation has been stabilized with the so-called Fixed Point Induced control (FPIC) technique. Also, the same converter with delay whose 1-periodic orbit is always unstable, has been stabilized. Simulations are compared with the TDAS stabilization technique. Once a 1-periodic orbit has been stabilized, the dynamics shows the same characteristics and advantages of the ZAD design, such as robustness, fixed switching frequency (with zero average on the sliding surface) and a low output error.
Document Clustering is one of the popular techniques that can unveil inherent structure in the underlying data. Two successful models of unsupervised neural networks, Self-Organizing Map (SOM) and Adaptive Resonance T...
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The paper presents the requirements of measurement system for electric arc furnace parameters measurement and for working characteristic calculating. On this basis measurement signals were specified and measurement al...
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This paper present methodology of developing a microprocessor based embedded system for the distributed control system. The control system is realized for controlling of small electro mobile. The system controls speed...
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This article deals with a robust control practical application designed and run on different kinds of embedded PCs. As a control object Ball and Beam experiment was chosen. The system was simulated on the mathematical...
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