In this paper, we extend the Sparse Identification of nonlinear Dynamics (SIndy) technique to identify the Poincare maps of switched nonlinear systems and to investigate the behavior of their limit cycles. The propose...
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ISBN:
(纸本)9798350349740;9798350349757
In this paper, we extend the Sparse Identification of nonlinear Dynamics (SIndy) technique to identify the Poincare maps of switched nonlinear systems and to investigate the behavior of their limit cycles. The proposed approach is an effective way for studying the stability of switched systems. Moreover, it can be used to stabilize switched systems and it can be adopted for wide range of applications in many domains from engineering to biology. The proposed method was applied to the Alpazur oscillator with three s and showed satisfactory results.
The paper demonstrates the efficiency of a numerical implementation of the extended-Kalman filter for the state estimation in fermentation processes. The approach relies on Bajpai-Reuss model whose coefficients have b...
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ISBN:
(纸本)0080417108
The paper demonstrates the efficiency of a numerical implementation of the extended-Kalman filter for the state estimation in fermentation processes. The approach relies on Bajpai-Reuss model whose coefficients have been determined by least-squares fitting of experimentally acquired data, using Levenberg-Marquardt optimization procedure.
Aerodynamics Data Acquisition System (ADAS) acquires analog data from the sensors and converts it into digital signals by performing different operations such as signal conditioning, amplification, and digital convers...
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ISBN:
(纸本)9781538695098
Aerodynamics Data Acquisition System (ADAS) acquires analog data from the sensors and converts it into digital signals by performing different operations such as signal conditioning, amplification, and digital conversion. With the increase in a number of processing cores, a shift from sequential to parallel ADAS has been observed recently. Therefore, in this work, we have proposed and developed a Flexible Aerodynamics Data Acquisition System (FADAS). The FADAS system aims to achieve the considerable increase in the performance, scalability, and programmability. To validate the performance of the FADAS we integrate it with Angle of Attack, Pressure Transducer Unit and environmental control system of aircraft and interfaced with of single board computers using parallel programming models.
To compensate for the decline in downloads, streaming music on demand has expanded considerably. In addition, technological advancements and innovation have tremendously improved the Internet's structure and appli...
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Bad data identification is an essential prerequisite for state estimation in distribution networks. When multiple leverage measurements with bad data occur in the system, traditional residual-based methods are ineffec...
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This paper, presents an implementation of a predictive control algorithm using Locally Linear Model Tree (LOLIMOT) as the system identification algorithm, on an industry case study: solution copolymerization of methyl...
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ISBN:
(纸本)0780382781
This paper, presents an implementation of a predictive control algorithm using Locally Linear Model Tree (LOLIMOT) as the system identification algorithm, on an industry case study: solution copolymerization of methylmethacrylate and vinyl acetate. The nonlinear system is represented with a model based on LOLIMOT algorithm. The control approach is successfully implemented during a transient from one operating point to another. Significant improvement is observed in reducing the transient period. Simulation results conform the effectiveness of the proposed predictive control strategy.
Stability(1) of networked control systems with nonlinear plant is a challenge problem and this problem is investigated with approximate discrete-time design approach in this paper. The stability conditions for nonline...
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ISBN:
(纸本)9781450365123
Stability(1) of networked control systems with nonlinear plant is a challenge problem and this problem is investigated with approximate discrete-time design approach in this paper. The stability conditions for nonlinear sampled-data systems are extended to the time-delay situations, which can guarantee stability of networked control systems when delay and data packet dropout may take place. For these systems, the controller can be designed based on Euler approximation, while the stability can be guaranteed with fast sampling and suitable hardware and software configuration, which control the delay time and data packet dropout.
This paper presents Spirit, a lightweight programming framework for intelligent system. Ease of use and tiny development effort are two key features considered during the design. Spirit is mainly a template class, whi...
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ISBN:
(纸本)9781467318556;9781467318570
This paper presents Spirit, a lightweight programming framework for intelligent system. Ease of use and tiny development effort are two key features considered during the design. Spirit is mainly a template class, which provides a configure table, commonly used libraries in system control and computer vision, inter-process communication for parallel programming, hardware middleware for different hardware products, and customizable algorithm functions. Developers utilize Spirit to create modules or even systems for their intelligent applications very quickly as well as using powerful tools in Spirit for convenient debugging. We compared Spirit with existing robot frameworks and proposed a new design criterion. Results show that Spirit gives a better experience on rapid system design and debugging. We used it when developing an intelligent vehicle system.
The programming contest and training (PCTP) is a system which is aimed at computer-aided education (CAE) for programming, it uses a novel infrastructure based on Software Transactional Memory (STM) abstraction for hig...
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Accuracy, complexity and computational cost are very important characteristics of a model. In this paper, a dedicated neural network design and a computational cost reduction approach are proposed in order to improve ...
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ISBN:
(纸本)9781467346955
Accuracy, complexity and computational cost are very important characteristics of a model. In this paper, a dedicated neural network design and a computational cost reduction approach are proposed in order to improve the balance between the quality and computational cost of black box non linear system identification models. The proposed architecture helps to reduce the number of parameters of the model after the training phase preserving the estimation accuracy of the non reduced model. Here, we focus on the fact that this particular design helps to reduce the computational cost required for the training phase. To validate the proposed approach, we identified the Wiener-Hammerstein benchmark nonlinear system proposed in SYSID2009 [1].
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