This paper presents a parameter identification method involving a high-order sliding mode observer. The method is based on the equivalent output injection technique. Using the finite-time convergence of the sliding mo...
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ISBN:
(纸本)9781424474264
This paper presents a parameter identification method involving a high-order sliding mode observer. The method is based on the equivalent output injection technique. Using the finite-time convergence of the sliding mode observer, an algebraic reconstruction algorithm is designed to identify the system parameters through a finite time window.
The paper presents the possibility of using a sliding window for image feature extraction in order to identify image regions of interest. The study includes the comparison of feature extraction methods both in the spa...
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In this work, we present a new managament strategy for a ground coupled HVAC system in a cooling dominated office area. The idea is disminish the electrical consumption while keeping the thermal comfort requirements. ...
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In this work, we present a new managament strategy for a ground coupled HVAC system in a cooling dominated office area. The idea is disminish the electrical consumption while keeping the thermal comfort requirements. This objective is achieved by means of the proper management of some parameters of the system: the air mass flow in the fan, the mass water flow in the internal and external hydraulic circuit and the set point temperature in the water to water heat pump. The electric consumption of the HVAC system is calculated for this new management strategy and compared with the results obtained for a conventional management strategy. In our simulation, the annual electrical energy savings of the ground coupled HVAC system are bigger than the 24% when it is managed by the new one.
This paper studies the global robust output regulation problem for a class of output feedback systems subject to an uncertain exosystem by using output feedback *** adaptive control technique is used to handle the unk...
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This paper studies the global robust output regulation problem for a class of output feedback systems subject to an uncertain exosystem by using output feedback *** adaptive control technique is used to handle the unknown parameter vector in the *** is shown that this unknown parameter vector can be exactly estimated asymptotically if the controller incorporates a minimal internal *** effectiveness of our approach has been illustrated by an asymptotic tracking problem associated with a generalized fourth-order Lorenz system.
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive control requires the online solution ...
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In this paper, the consensus problems for networks of second-order agents with fixed and switching topology are *** constructing a new kind of digraph and employing a purely graph theoretical method, the convergence r...
In this paper, the consensus problems for networks of second-order agents with fixed and switching topology are *** constructing a new kind of digraph and employing a purely graph theoretical method, the convergence results for first-order consensus algorithms are extended to solve the second-order case under certain assumptions.
This paper addresses the average consensus problem for directed networks of agents with both switching topology and coupling *** constructing a Lyapunov-Krasovskii functional and using the idea of delay partitioning, ...
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This paper addresses the average consensus problem for directed networks of agents with both switching topology and coupling *** constructing a Lyapunov-Krasovskii functional and using the idea of delay partitioning, it is shown that average consensus can be attained for appropriate time delay if the weak connectedness and balance can be maintained by the communication *** applicability of the proposed theoretical result is verified by numerical results.
Many sensor-motor competences in mobile robotics applications exhibit complex, non-linear characteristics. Previous research has shown that polynomial NARMAX models can learn such complex tasks. However as the complex...
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Many sensor-motor competences in mobile robotics applications exhibit complex, non-linear characteristics. Previous research has shown that polynomial NARMAX models can learn such complex tasks. However as the complexity of the task under investigation increases, representing the whole relationship in one single model using only raw sensory inputs would lead to large models. Training such models is extremely difficult, and, furthermore, obtained models often exhibit poor performances. This paper presents a bootsrapping method of generating complex robot training tasks using simple NARMAX models. We model the desired task by combining predefined low level sensor motor controllers. The viability of the proposed method is demonstrated by teaching a Scitos GS autonomous robot to achieve complex route learning tasks in the real world robotics experiments.
The paper presents the possibility of using a sliding window for image feature extraction in order to identify image regions of interest. The study includes the comparison of feature extraction methods both in the spa...
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ISBN:
(纸本)9781617388767
The paper presents the possibility of using a sliding window for image feature extraction in order to identify image regions of interest. The study includes the comparison of feature extraction methods both in the space and frequency domains using the discrete Fourier transform and the discrete wavelet transform to achieve reliable classification results for a given application. The compactness of feature clusters is evaluated exploiting a proposed numerical criterion. In case of real image data, the clusters compactness can often be improved by employing a chosen smoothing method on the raw data. In this paper, the procedure of smoothing, feature extraction and classification is applied to microscopic images of aluminum alloys in order to isolate regions of similar properties and to study their relationship. To achieve this goal the sliding window classification results are combined and isolated misclassified subregions repaired. The proportion ofmisclassified regions is then used for the evaluation of the efficiency of the proposed method along with the proposed measure of cluster compactness.
This paper presents the solution of the global robust output regulation problem for a class of nonlinear systems with relative degree one without knowing the control direction. The result is also applied to an asympto...
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ISBN:
(纸本)9781424454402
This paper presents the solution of the global robust output regulation problem for a class of nonlinear systems with relative degree one without knowing the control direction. The result is also applied to an asymptotic tracking problem associated with the well known Lorenz system.
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