The final objective of the described project is to develop and implement techniques for a reliable cooperation of autonomous mobile systems that can be used for future traffic management systems. The approach relies o...
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The final objective of the described project is to develop and implement techniques for a reliable cooperation of autonomous mobile systems that can be used for future traffic management systems. The approach relies on the ability of the systems to communicate among themselves in order to make efficient use of available shared resources (e.g. road space). In the context of automotives this means that computer-based driving assistants not only support humans in handling their own vehicles but also in interacting with the individual vehicles in the neighborhood The vision is an embedded, distributed traffic control system that is provided by the cooperation of the participating units, and thus is more robust and scalable than centralized approaches. Besides the 'obvious' requirements on high assurance computing in traffic control systems, the design and implementation of such systems require the ability of coordination while obeying the necessary real-time and safety constraints. This paper motivates the approach, presents an envisaged system architecture and sketches the design of the basic communication layers of this architecture that can fulfill the realtime and safety requirements. Finally, it introduces a lab-scale evaluation and demonstration scenario that proves the feasibility of the concepts.
We discuss a special kind of rough inclusions and its relation to fuzzy inclusions. One of four conditions of rough inclusions is detailed and a rough inclusion which satisfies the detailed condition as well as an add...
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We discuss a special kind of rough inclusions and its relation to fuzzy inclusions. One of four conditions of rough inclusions is detailed and a rough inclusion which satisfies the detailed condition as well as an additional condition is called a 'meticulous rough inclusion'. We show that a meticulous rough inclusion is closed with respect to upper and lower closure operators defined for a rough inclusion. We discuss conditions for a rough inclusion to be a meticulous rough inclusion. Moreover, the relations between meticulous rough inclusions and fuzzy inclusions are investigated. Sufficient conditions for a fuzzy inclusion defined by an implication function to be a meticulous rough inclusion are given. Examples of fuzzy inclusions which are meticulous rough inclusions are presented.
Current trading strategy learning models often proceed in three separate phases, i.e., training, validation, and application (testing). After a specific time span of application, a new learning process is started to a...
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ISBN:
(纸本)0780366573
Current trading strategy learning models often proceed in three separate phases, i.e., training, validation, and application (testing). After a specific time span of application, a new learning process is started to adapt the trading strategy to the new environment states. The time span of application is usually fixed and determined according to experiences. This may result in earning losses as compared to the perfect trading strategy which trades at each turning point of the stock price movement. Some learning methods, such as neural networks, are hard to explain intuitively and unstable in some dynamic environment states. Other learning models like simple genetic algorithms result in a single trading rule which is applied for a specific time span without being adapted even when the environment has changed. This paper adopts learning classifier systems (LCSs) technique to provide a dynamic trading strategy learning model (DTSLM), which makes continuous and instant learning while executing real prediction and produces a trading rule set to deal with different environment states. The simulation results show that this model could get a remarkable trading profit.
Over the past decade, several inductive logic programming (ILP) systems have been developed. However, the normal ILP system does not have enough power to induce logic programs in some domains. Therefore, various new I...
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This work presents the concept to recover and utilize the visual context in panoramic images. Omnidirectional imaging has become recently an efficient basis for robot navigation. The proposed Bayesian reasoning over l...
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ISBN:
(纸本)0780365763
This work presents the concept to recover and utilize the visual context in panoramic images. Omnidirectional imaging has become recently an efficient basis for robot navigation. The proposed Bayesian reasoning over local image appearances enables to reject false hypotheses which do not fit the structural constraints in corresponding feature trajectories. The methodology is proved with real image data from an office robot to dramatically increase the localization performance in the presence of severe occlusion effects, particularly in noisy environments, and to recover rotational information on the fly.
An underwater planar vehicle, actuated by rear thrusters and equipped with longitudinal control surfaces which allow the drag coefficient modulation in the sway direction, is considered in a dynamic setting. The maneu...
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ISBN:
(纸本)0780365763
An underwater planar vehicle, actuated by rear thrusters and equipped with longitudinal control surfaces which allow the drag coefficient modulation in the sway direction, is considered in a dynamic setting. The maneuvring controls for the vehicle, in order to reach the required final position and attitude are devised by exploiting both the rear thrusters actuation and the capability offered by the admitted presence of the longitudinal, modulable, control surfaces.
This paper is concerned with the argument that the identification of Takagi Sugeno (T-S) fuzzy models from training data should involve an important feature between data fitness and model complexity. One hand a (T-S) ...
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This paper is concerned with the argument that the identification of Takagi Sugeno (T-S) fuzzy models from training data should involve an important feature between data fitness and model complexity. One hand a (T-S) ...
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This paper is concerned with the argument that the identification of Takagi Sugeno (T-S) fuzzy models from training data should involve an important feature between data fitness and model complexity. One hand a (T-S) fuzzy model with a large number of fuzzy rules may encounter the risk of having an approximation capable of fitting training data well. On the other hand it may be difficult to run this fuzzy model structure due to heavy computational cost. In order to facilitate the development of a balance between these requirements, a Higher Order Singular Value Decomposition (HOSVD) based T-S fuzzy model reduction is introduced using the well-known Yam SVD fuzzy rule-based approximation technique.
The Fourth Robotic Soccer World Championships was held from August 27th to September 3rd, 2000, at the Melbourne Exhibition Center in Melbourne, Australia. In total, 83 teams, consisting of about 500 people, participa...
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