This paper presents a stochastic control method for networked controlsystems(NCSs) with time-varying sampling periods and random delay. The random delay of the NCS is modelled as intervals governed by a Markov chain....
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We propose a novel method for conflict resolution for aircraft flying in a self-separation airspace, with the possibility of some ground assistance. Our method is based on navigation functions, that can guarantee dece...
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This paper describes the development of fuzzy systems for modeling the hysteresis behavior of shape memory alloy (SMA) actuators. Due to their simplicity and ease of actuation, SMA actuators are very attractive for ap...
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Liquid State Machine (LSM) is a newly developed computational model with many interesting properties. It has great advantages of dealing with biologic computing when compared to the traditional computational model. In...
Liquid State Machine (LSM) is a newly developed computational model with many interesting properties. It has great advantages of dealing with biologic computing when compared to the traditional computational model. In this paper, the LSM was used to deal with the direction classification problem of the spike series which were distilled from the neurons in motor cortex of a monkey. In the output layer, a linear regression and back-propagation are employed as the training algorithms. Compare to outcomes of the two algorithms, it is showed that ideal classification results were derived when using BP as the training algorithm.
In this paper, we propose a decentralized control scheme for combined motion/force control of nonredundant multi-manipulator robotic systems, cooperatively grasping a rigid body in a prespecified position/force trajec...
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In this paper, we propose a decentralized control scheme for combined motion/force control of nonredundant multi-manipulator robotic systems, cooperatively grasping a rigid body in a prespecified position/force trajectory. The proposed control scheme uses the impedance method for modeling the internal force exerted by the end effectors to the object. The precise mathematical analysis of the overall dynamical system and the proposed controller are presented and the stability of the overall system is studied. The proposed controller, then, is applied to a cooperative system composed of two PUMA560 manipulators and the simulation results are presented to verify the proposed control scheme.
Target tracking and localization are important applications in camera sensor networks. Although coverage is a very important research topic in wireless sensor networks, and the coverage problem for target detection ha...
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This paper discusses two practical issues in automotive powertrain control;optimization of gear shift patterns to balance driving performance and fuel economy, and smoother gear shifting to improve riding comfort. A r...
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Polyethylene is a major kind of internal insulating material. This paper measured the space charge phenomenon in low-density polyethylene (LDPE) by the pulsed electro-acoustic (PEA) method and observed the space charg...
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Polyethylene is a major kind of internal insulating material. This paper measured the space charge phenomenon in low-density polyethylene (LDPE) by the pulsed electro-acoustic (PEA) method and observed the space charge packet. This research got the LDPE films of different morphology by different annealing rate and discussed the effect of morphology and electrical field stress changing on space charge packet's moving velocity. The research shows that morphology of LDPE affects the velocity of space charge packet remarkably;bigger crystallinity results in lower velocity of space charge packet. The intensity of electrical field has little affection to the velocity. The average mobility of different crystallinity under different electric field was calculated. The relationship between crystallinity and mobility was found. The results further demonstrate there are inherent relationships among higher crystallinity, more space charge accumulation, lower mobility and deeper trap depth. Lower mobility and deeper trap depth have a monotone relationship.
Logistics demand forecasting is an important process between Logistics programming and Logistics resource allocation. The neural network algorithm is usually applied to forecasting logistics demand. However it has the...
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Logistics demand forecasting is an important process between Logistics programming and Logistics resource allocation. The neural network algorithm is usually applied to forecasting logistics demand. However it has the problems of slow convergence and local optimization in searching results when the training data is excessive. This paper presents an adaptive neural network algorithm for logistics demand forecasting. The empirical study shows that the adaptive neural network algorithm has faster convergence and higher precision than neural network algorithm.
In this paper, we developed a novel catheter operating system using force sensors and monitor for medical applications, which included a highly precise master-slave remote control system. We designed micro force senso...
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In this paper, we developed a novel catheter operating system using force sensors and monitor for medical applications, which included a highly precise master-slave remote control system. We designed micro force sensors and used them in the system to ensure the operation security in intravascular neurosurgery applications, using camera to monitor the situation of simulation experiment. We carried out the operation simulation experiments and got the force information by force sensors when the catheter contacted the simulator of blood vessel. The experimental results indicated that the proposed force sensors-based catheter operating system works well and can be controlled remotely, and the force feedback can effectively improve operability, also this system can avoid danger automatically.
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