Resource allocation systems are used for modeling and control of flexible manufacturing systems, multi-vehicle systems, traffic networks, etc. Methods for control of these systems are often based on the identification...
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ISBN:
(纸本)9781479974108
Resource allocation systems are used for modeling and control of flexible manufacturing systems, multi-vehicle systems, traffic networks, etc. Methods for control of these systems are often based on the identification of a special structural property, simple circular wait of resources, and interrelations between simple circular waits. In this paper we study reconfigurable resource allocation systems, which require that control algorithm is modified online and, therefore, has low running time. In this paper we propose dynamical algorithms for determination of simple circular waits in reconfigurable systems, which are based on Johnson's algorithm, and aim at identifying only changes in the set of simple circular waits. Running time of the proposed algorithms is lower than running time of standard static methods. Algorithms are tested for a family of multi-vehicle systems and results confirm the advantages of using the dynamic algorithms.
In this paper we study control of reconfigurable multi-vehicle system. Our method builds upon an existing deadlock-free resource allocation control method that is based on the identification of higher-level deadlocks....
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ISBN:
(纸本)9781479974108
In this paper we study control of reconfigurable multi-vehicle system. Our method builds upon an existing deadlock-free resource allocation control method that is based on the identification of higher-level deadlocks. We identify a smaller set of cyclic circular waits to be controlled, and provide an algorithm for determination of such cyclic circular waits. Furthermore, we propose a path assignment algorithm that aims at lowering the structural complexity of the corresponding resource allocation system, while taking into account path length. Methods are tested in a simulation environment and results show their efficiency.
Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrot...
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A second order sliding mode control design for a mobile hydraulic system, including bounded model uncertainties and external disturbances, is the subject of study. The proposed algorithm provides a continuous control ...
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ISBN:
(纸本)9781467360890
A second order sliding mode control design for a mobile hydraulic system, including bounded model uncertainties and external disturbances, is the subject of study. The proposed algorithm provides a continuous control signal, achieving good performance and chattering attenuation in comparison to other sliding-mode-based techniques. The design includes the formulation of a partial stability problem and we provide the required Lyapunov-function-based analysis. Experimental results are performed over an industrial setup and confirm the effectiveness of the methodology. Moreover, promising results of a comparison with the Super-Twisting and PID controllers are presented.
To resemble the appearance of human beings, humanoid robots should be designed with many DOFs, however, it increases the complexity of the mechanical design and the real-time control, which will make a high cost and h...
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ISBN:
(纸本)9781479973989
To resemble the appearance of human beings, humanoid robots should be designed with many DOFs, however, it increases the complexity of the mechanical design and the real-time control, which will make a high cost and have a poor reliability and will not fit for the application in museums or human's daily lives. In this paper, to enable the low cost and high reliability robot to interact with humans naturally and sever humans more friendly, we imported advanced technology of the Waseda's flute robot and retained the most important mechanical parts, such as the lip, lungs and the fingers for the flute playing, on this basis, some other mechanical structures were redesigned; particularly, the robot's appearance was carefully designed; in addition, we also redesigned the hardware structure using our own joint controllers and software system based on CAN bus communication for the cost saving and high reliability. The redesigned robot had just 16 DOFs. Preliminary performance test results showed that this new redesigned robot achieved in producing high quality of flute sound and high sound conversion efficiency, and the period of communication was about 4ms.
The goal of the work presented here is to influence the overall behaviour of specific animal societies by integrating computational mechatronic devices (robots) into those societies. To do so, these devices should be ...
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The goal of the work presented here is to influence the overall behaviour of specific animal societies by integrating computational mechatronic devices (robots) into those societies. To do so, these devices should be accepted by the animals aspart of the society and/or as part of the collectively formed environment. For that, we have developed two sets of robotic hardware for integrating into societies of two different animals: zebra fish and young honeybees. We also developed mechanisms to provide feedback from the behaviours of societies for the controllers of the robotic system. Two different computational methods are then used as the controllers of the robots in simulation and successfully adapted by evolutionary algorithms to influence the simulated animals for desired behaviours. Together, these advances in mechatronic hardware, feedback mechanisms, and controller methodology are laying essential foundations to facilitate experiments on modulating self-organised behaviour in mixed animal -- robot societies.
The paper proposes a new learning method for fuzzy cognitive maps, which makes it possible to encode an attractor into the map. The method is based on the principle of backpropagation through time known from the theor...
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ISBN:
(纸本)9781629934884
The paper proposes a new learning method for fuzzy cognitive maps, which makes it possible to encode an attractor into the map. The method is based on the principle of backpropagation through time known from the theory of artificial neural networks. Simulation results are presented to show how well the method performs. It is shown that the results are superior to those achieved using Hebbian learning approaches such as nonlinear Hebbian learning. Some lines for possible future research and development are given.
An intelligent cane robot was designed for aiding the elderly and handicapped people walking. The robot consists of a stick, a group of sensors and an omni-directional basis driven by three Swedish wheels. Multiple se...
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An intelligent cane robot was designed for aiding the elderly and handicapped people walking. The robot consists of a stick, a group of sensors and an omni-directional basis driven by three Swedish wheels. Multiple sensors were used to recognize the user's “walking intention”, which is quantitatively described by a new concept called intentional direction (ITD). Based on the guidance of filtered ITD, a novel intention-based admittance motion control (IBAC) scheme was proposed for the cane robot. To detect the fall of user, a detection method based on Dubois possibility theory was proposed using the combined sensor information from force sensors, a laser ranger finder (LRF) and an on-shoe load sensor. The human fall model was represented in a two-dimensional space, where the relative position between the center of pressure (COP) and the center of support triangle was utilized as a significant feature. The effectiveness of proposed fall detection method was also confirmed by experiments.
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