FIR (finite impulse response) model is widely used in tackling the problem of the impulse response estimation with quantized measurements. Its use is, however, limited, in the case when a high order FIR model is requi...
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This paper proposes a novel probabilistic framework to design an N-1 secure day-ahead dispatch, while determining the minimum cost reserves for power systems with high wind penetration. To achieve this, we build on pr...
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A modified center-of-sums (mCoS) type-reduction technique is proposed in this paper for constructing a data-driven Mamdani interval type-2 fuzzy modelling (MIT2FM) framework. The mCoS type-reducer is an extension of i...
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ISBN:
(纸本)9781467315074
A modified center-of-sums (mCoS) type-reduction technique is proposed in this paper for constructing a data-driven Mamdani interval type-2 fuzzy modelling (MIT2FM) framework. The mCoS type-reducer is an extension of its type-1 counterpart, the center-of-sums defuzzification, which takes both the area of the scaled consequent membership function of each fired rule and its associated geometric center into account for computing the final output. Contrary to the normal center-of-sums type-reduction, the proposed approach considers the full area under the scaled consequent membership functions even if such area extends beyond the range of the output variable. This enables the commonly used Gaussian interval type-2 membership functions to be utilised in MIT2FM, the area of which has to be calculated via the improper integrals over the whole real line. Moreover, the mCoS method can make use of the mean of Gaussian membership functions directly, instead of computing the geometric center for each rule, so as to further reduce the computational burden of type-reduction. Compared with the state-of-the-art type-reducers, mCoS is shown to be more efficient and, therefore, makes the interval type-2 based fuzzy logic systems more competitive for data-driven fuzzy modelling applications. In order to test the validity of mCoS type-reduction and the elicited fuzzy modelling scheme, experiments are conducted on a benchmark problem of non-linear time series, where collected data are disturbed by noise, and on the real-world application, namely the prediction of mechanical properties of alloy steels. The mCoS based interval type-2 fuzzy modelling approach is shown to handle uncertainties very well and to provide desired generalisation capability when addressing large high-dimensional data sets.
This paper is concerned with the design of networked controlsystems with random network-induced delay and data dropout. It presents a new control scheme, which is termed networked predictive control with optimal esti...
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This article describes an attempt to create an open source equivalent to the data acquisition and control software LabVIEW. The proposed solution uses GNURadio, OpenCV, Scilab, Xcos and COMEDI on Linux. GNURadio gives...
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This paper presents the design and control of two wheeled inverted pendulum robot. The aim of the design is to provide a prototype for research purposes. The design of the robot incorporates the use of different compo...
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This paper introduces some novel ideas for presenting PI tuning to chemical engineers who take just a single control and modelling module. It is shown how the tuning approach is simpler or more intuitive than the more...
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In this study, the concept of Output Frequency Response Functions (OFRFs) is applied to represent the transmissibility of nonlinear isolators in frequency domain. With the OFRFs estimated from numerical simulation res...
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In this study, the concept of Output Frequency Response Functions (OFRFs) is applied to represent the transmissibility of nonlinear isolators in frequency domain. With the OFRFs estimated from numerical simulation responses, an explicit analytical relationship between the transmissibility and the nonlinear characteristic parameters is derived for a wide class of nonlinear isolators that have nonlinear anti-symmetric damping characteristics and a comprehensive pattern about how the nonlinear damping characteristic parameters might affect the force and displacement transmissibility is built for the vibration isolators. The results reveal that it is reasonable to analyze the force and displacement transmissibility of the nonlinear isolators by simply investigating the fundamental harmonic components of the force and displacement outputs of the nonlinear isolators, and the introduction of a nonlinear anti-symmetric damping into vibration isolators can significantly suppress both the force and displacement transmissibility over the resonant frequency region, but has almost no effect on the transmissibility at non-resonant regions. These conclusions are of significant importance in the analysis and design of the nonlinear vibration isolators with nonlinear anti-symmetric damping.
A Norm-Optimal Iterative Learning control (NOILC) solution is developed for the problem when tracking is only required at a subset of isolated time points along the trial duration. Well-defined convergence properties ...
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ISBN:
(纸本)9781467320658
A Norm-Optimal Iterative Learning control (NOILC) solution is developed for the problem when tracking is only required at a subset of isolated time points along the trial duration. Well-defined convergence properties are presented, along with design guidelines and supporting experimental results using an electromechanical test facility.
We report in this case-study paper our experience and success story with a practical approach and tool for unit regression testing of a SCADA (Supervisory control and Data Acquisition) software. The tool uses a black-...
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