This paper presents a new algorithm for approximating a nonlinear function by means of local models. It is proposed a memory-based technique for selecting the best model configuration by comparing different alternativ...
This paper addresses the problem of regulating a discrete-time linear uncertain and time-varying system to the origin. It is shown that, based on an interpolation technique, by minimizing an appropriate objective func...
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This paper addresses the problem of regulating a discrete-time linear uncertain and time-varying system to the origin. It is shown that, based on an interpolation technique, by minimizing an appropriate objective function, how feasibility and a robustly and asymptotically stable closed-loop behavior can be achieved. It is shown that the control is a piecewise affine and continuous function of the state. Several simulations demonstrate the performance of our results.
This paper presents a new algorithm for approximating a nonlinear function by means of local models. It is proposed a memory-based technique for selecting the best model configuration by comparing different alternativ...
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ISBN:
(纸本)9781424474325
This paper presents a new algorithm for approximating a nonlinear function by means of local models. It is proposed a memory-based technique for selecting the best model configuration by comparing different alternatives. A recursive technique for local model identification and validation is presented, together with an enhanced statistical method for model selection. The shapes and locations of receptive fields are changed in an adaptive manner. The learning capabilities are demonstrated by means of some examples.
The paper presents the concept and implementation of an intelligent motion controller for a low power brushless servodrive. Fuzzy logic control and fuzzy reasoning tuning procedures are used for speed and current cont...
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ISBN:
(纸本)9781424474325;9781424474332
The paper presents the concept and implementation of an intelligent motion controller for a low power brushless servodrive. Fuzzy logic control and fuzzy reasoning tuning procedures are used for speed and current controllers respectively. A digital signal processor (DSP) based hardware set-up and a specialized software environment are used to laboratory experiments. Experimental results proved the effectiveness of the proposed intelligent control scheme.
The paper presents a method of power optimization of the wind turbines by changing the pitch angle. There are analysed the structure and the performance of a electro-mechanical servomechanism used to put on position t...
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The paper presents a method of power optimization of the wind turbines by changing the pitch angle. There are analysed the structure and the performance of a electro-mechanical servomechanism used to put on position the wind turbine blades so that a maxim out power could be obtained at a given wind speed. Numerical simulations validated the applied method, and the results obtained are comparable with the ones from technical literature.
Non-opioid intravenous anesthetic agents, such as propofol, have been used in anesthesia since 1970's for conscious sedation. In this paper, the study aims to regulate the syringe pump of propofol infusion during ...
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Business forecasting uses statistic tools more or less sophisticated that relay on the observation values from the past, regarding the activity level, and calculates predictions for the future. The majority of the met...
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Business forecasting uses statistic tools more or less sophisticated that relay on the observation values from the past, regarding the activity level, and calculates predictions for the future. The majority of the methods can calculate forecast without any problem and with high accuracy when the data has a satisfying quality. This paper describes our results in implementing the forecast in general and highlights the cases with sporadic data, cases with a high forecasting need, that are common in real life.
Measurement of head rotation from 2D image requires finding correspondences between features of a model and an image. In this paper, we show that under weak-perspective assumption, given three facial points in image, ...
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In this paper we present an approach to human activity recognition in an indoor environments. It combines Adaboost face detection with standard tracking methods - continuously adaptive mean-shift (CAMShift) and Kalman...
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