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This paper focuses on a critical component of the situational awareness (SA), the motion control of autonomous vertical flight for vectored thrust aerial vehicle (VTAV). With the SA strategy, we proposed a two-rate flight control procedure using two autonomous control subsystems to address the dynamics variation and performance requirement difference in initial and final stages of flight trajectory...
This paper focuses on a critical component of the situational awareness (SA), the neural control of depth flight of an autonomous underwater vehicle (AUV). Constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. The fundamental requirement for constant depth flight is the knowledge of the depth, and a properly designed controller...
This paper focuses on a critical component of the situational awareness, the control of autonomous vertical flight for an unmanned aerial vehicle. Autonomous vertical flight is a challenging but important task for tactical unmanned aerial vehicles to achieve high level of autonomy under adverse conditions. With the situational awareness strategy, we proposed a three stage flight control procedure...
This paper focuses on a critical component of the situational awareness (SA), the neural control of depth flight of an autonomous underwater vehicle (AUV). Constant depth flight is a challenging but important task for AUVs to achieve high level of autonomy under adverse conditions. The fundamental requirement for constant depth flight is the knowledge of the depth, and a properly designed controller...
This paper focuses on a critical component of the situational awareness, the neural network control of autonomous vertical flight for an unmanned aerial vehicle. Application of the proposed two stage flight strategy which uses two autonomous adaptive neural dynamical feedback controllers was carried out for a nontrivial small-scale helicopter model comprising five states, two inputs and two outputs...
This paper focuses on a critical component of the situational awareness, the neural control of autonomous vertical flight for an unmanned aerial vehicle. Autonomous vertical flight is a challenging but important task for tactical unmanned aerial vehicles to achieve high level of autonomy under adverse conditions. The fundamental requirement for vertical flight is the knowledge of the height above...
In modern telecommunications industry, demand & supply chain management needs reliable design and versatile tools to control the material flow. The objective for efficient supply chain management is reducing inventory, lead times and related costs in order to assure reliable and on-time deliveries from manufacturing units towards customers. In this paper we present multi-rate expert system based...
One of the most difficult problems in fingerprint recognition has been that the recognition performance is significantly influenced by distorted fingertip surface condition, which may vary depending on environmental or personal causes. Addressing this problem, this paper presents the three-rate hybrid Kohonen neural network (TRHKNN) for distorted fingerprint image processing in conditions of wide...
One of the most difficult problems in fingerprint recognition has been that the recognition performance is significantly influenced by fingertip surface difficult conditions (e.g., rough fingertips, dry fingertips, allergic-skin fingertips), which may vary depending on environmental or personal causes. Addressing this problem, this paper presents the three-rate hybrid Kohonen neural network (TRHKNN)...
In this paper, we present the three-rate hybrid Kohonen neural network (TRHKNN) for image processing. The received TRHKNN consists of "fast" Kohonen neural network (FKNN), "middle" Kohonen neural network (MKNN) and "slow" Kohonen neural network (SKNN). The illustrative example - recognition and restoration of distorted fingerprint - was carried out using the TRHKNN. The...
One of the attractive areas of mutirate phenomena research is that of image recognition. In this paper is offered the two-rate recognition of the English alphabet by means of the Kohonen's neural networks. The received two-rate Kohonen's neural network (TRKNN) not only is capable to distinguish the input images, but also is capable to restore images. Further analysis of obtained neural networks can...
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