In this paper, an adaptive iterative learning control (ILC) scheme is proposed for trajectory tracking of uncertain delay systems based on model matching technique. The reference model is a delay system operating over...
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In this paper, an adaptive iterative learning control (ILC) scheme is proposed for trajectory tracking of uncertain delay systems based on model matching technique. The reference model is a delay system operating over in a finite time interval. An iterative model matching controller is designed and an iteration domain adaptive law is chosen to estimate the unknown parameters. It shows that the model matching technique can be applied in a straightforward method to ILC problem. A simulation example is included to illustrate the designed scheme.
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.
This paper is concerned with an adaptive state estimation problem for a class of continuous-time nonlinear stochastic systems with unknown constant parameters. These nonlinear systems have a linear-in-parameter (affin...
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Nowadays the need for powerful hardware architectures, which allow for high throughput data analysis and calculus, is fundamental especially for biological applications. We have been focused on utilizing the Graphic P...
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An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping pro...
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This paper presents a temporal characterization of the IEC 61131-3 standard for automation software. The final goal is to apply schedulability analysis to industrial distributed controlsystems to assure they meet tim...
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This paper presents a temporal characterization of the IEC 61131-3 standard for automation software. The final goal is to apply schedulability analysis to industrial distributed controlsystems to assure they meet timing non functional requirements. This characterization has been performed in the context of a Model Driven Design approach previously proposed by the authors. The approach defines three Domain Specific Models: control specification and hardware and software architectures. The software model uses the PLCopen XML interface for expressing IEC 61131-3 automation projects. The information contained in the whole application model is processed to generate the temporal model of the application. Schedulability analysis is achieved by generating the temporal model of the well-known Modeling and Analysis Suite for Real-Time Applications, MAST.
In this paper, an immune inspired multi-objective fuzzy modeling (IMOFM) mechanism is proposed specifically for high-dimensional regression problems. For such problems, high predictive accuracy is often the paramount ...
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In this paper, an immune inspired multi-objective fuzzy modeling (IMOFM) mechanism is proposed specifically for high-dimensional regression problems. For such problems, high predictive accuracy is often the paramount requirement. With such a requirement in mind, however, one should also put considerable efforts in making the elicited model as interpretable as possible, which leads to a difficult optimization problem. The proposed modeling approach adopts a multistage modeling procedure and a variable length coding scheme to account for the enlarged search space due to the simultaneous optimization of the rule-base structure and its associated parameters. IMOFM can account for both Singleton and Mamdani Fuzzy Rule-Based systems (FRBS) due to the carefully chosen output membership functions, the inference and the defuzzification methods. The proposed algorithm has been compared with other representatives using a simple benchmark problem, and has also been applied to a high-dimensional problem which models mechanical properties of hot rolled steels. Results confirm that IMOFM can elicit accurate and yet transparent FRBSs from quantitative data.
Fuel Cell Hybrid Electric Vehicles (FCHEV) are being investigated in many research and development programs motivated by the urgent need for more fuel-efficient vehicles that produce fewer harmful emissions. Hybridiza...
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Fuel Cell Hybrid Electric Vehicles (FCHEV) are being investigated in many research and development programs motivated by the urgent need for more fuel-efficient vehicles that produce fewer harmful emissions. Hybridization can greatly benefit fuel cell technology. There are many potential ad vantages such as the improvement of transient power demand, the ability of regenerative braking and the opportunities for optimization of the vehicle efficiency. The coordination among the various power sources requires a high level of control in the vehicle. This work presents a control system that fulfils the power demanded by the electric motor making use of two power sources: a primary source (fuel cell) and a battery pack. Both power sources, independently or together, supply power to the vehicle in order to satisfy driver's demand. The real-time control computes the power distribution between the primary energy source and its associated Energy Storage System (ESS) to optimize the global hydrogen consumption while maintaining drivability. The coordination between the various power sources requires a high level of control in the vehicle. Model Predictive control (MPC) is used in order to minimize the overall energy use in the presence of several constraints that appear due to drivability requirements and the characteristic of the components. The proposed control strategy has been tested on a simulated model of a SUV (Sport Utility Vehicle), showing that a good control strategy can fulfil the power requested by the driver with the minimum fuel consumption.
This paper proposes a new method to discrete time linear time invariant (LTI) repetitive control tracking problem when the reference signal includes a single period with an already known high period. Based on an earli...
This paper proposes a new method to discrete time linear time invariant (LTI) repetitive control tracking problem when the reference signal includes a single period with an already known high period. Based on an earlier result in [1], as period gets high, dimension of the augmented state-space description there also gets very high. This in turn leads to higher order computation issues for designing the control law when optimality methodology is used. The low order controller designed in this paper is thus served for this purpose, where the computational problem is eased by using spectrum analysis of the reference signal. Application of this new low order repetitive controller to a non-minimum spring mass damper system demonstrates its effectiveness for tracking problems even if the periodic signal has a very high period.
The Volterra series is associated with so-called weakly nonlinear systems, which can be well described by the first few kernels with the higher order kernels falling off rapidly. This paper is concerned with the conve...
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The Volterra series is associated with so-called weakly nonlinear systems, which can be well described by the first few kernels with the higher order kernels falling off rapidly. This paper is concerned with the convergence analysis of the Volterra series model of a quadratically nonlinear system driven by harmonic inputs and a simple criterion is proposed to provide an estimation of the upper limit of the magnitude of the harmonic inputs to ensure convergence.
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