In this paper, we first present some dynamic TS fuzzy subsystems to approximate a nonlinear system. To make the subsystems asymptotically stable, the reference model with the same fuzzy sets of the system rule is esta...
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Robot-assisted gait training currently lacks the possibility of the robot to automatically adapt to the patient's needs and demands (so called "bio-cooperative control strategies"). It is desired to give...
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Performance monitoring of model predictive controlsystems (MPC) has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring hav...
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ISBN:
(纸本)9783902661548
Performance monitoring of model predictive controlsystems (MPC) has received a great interest from both academia and industry. In recent years some novel approaches for multivariate control performance monitoring have been developed without the requirement of process models or interactor matrices. Among them the prediction error approach has been shown to be a promising one, but it is k-step prediction based and may not be fully comparable with the MPC objective that is multi-step prediction based. This paper develops a multi-step prediction error approach for performance monitoring of model predictive controlsystems, and demonstrates its application in an industrial MPC performance monitoring and diagnosis problem.
Magnetoencephalography (MEG) is a neuroimaging technique for brain activation detection. This technique does not provide a unique solution due to ill-posedness of its inverse solution. Several methods are proposed to ...
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In this paper,an indirect adaptive decoupling controller with feedforward compensation is presented for nonlinear multivariable discrete-time dynamical *** design is model-free,based directly on some new dynamical lin...
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In this paper,an indirect adaptive decoupling controller with feedforward compensation is presented for nonlinear multivariable discrete-time dynamical *** design is model-free,based directly on some new dynamical linearization method and the resulting so called pseudo Jacobi matrix which derived on-line from the input and output information of the *** feedforward decoupling strategy is employed to achieve static decoupling and then to obtain the improved performance and stability *** analysis and simulation results show that the model-free indirect adaptive decoupling control system is stable and convergent.
Embedded systems have stepped deeper into Integrated Avionics systems, and security is becoming an important concern. Most embedded systems present a number of software vulnerabilities, such as buffer overflows. Furth...
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In most activities of daily living, related tasks are encountered over and over again. This regularity allows humans and robots to reuse existing solutions for known recurring tasks. We expect that reusing a set of st...
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This paper presents a mixed-signal power-factor-correction (PFC) control IC for the single-phase critical-conduction-mode (CRM) boost AC/DC converters. The peak current mode control is used and realized by using t...
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This paper presents a mixed-signal power-factor-correction (PFC) control IC for the single-phase critical-conduction-mode (CRM) boost AC/DC converters. The peak current mode control is used and realized by using the analog circuit technique. The outer voltage loop control adopts digital control technique to implement. This paper analyzes effect of the hysteresis band of the comparator in current loop is implemented by analog circuit. In digital voltage loop, this paper proposes usage of a digital notch filter to achieve fast dynamic response under large step load variations while maintaining a low total-harmonic-distortion (THD) and a high power factor (PF). The proposed mixed-signal PFC control scheme has been verified by using computer simulation via PSIM and Simplis to validate feasibility.
This paper presents a digital control scheme for boost power-factor-correction (PFC) AC/DC converters to achieve both low total-harmonic-distortion (THD) and fast dynamic response under large load variations. Comp...
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This paper presents a digital control scheme for boost power-factor-correction (PFC) AC/DC converters to achieve both low total-harmonic-distortion (THD) and fast dynamic response under large load variations. Compared with conventional control methods, the proposed digital control scheme can achieve a lower THD by sensing the input line voltage for feed-forward compensation in current loop to eliminate disturbance coming from the input line voltage, this paper also proposes the off-time duty ratio control to reduce the input current distortion. A synchronous sampling technique based on the double-line frequency can improve the dynamic response of the output voltage. The proposed control scheme has been verified by using simulation software PSIM and realized by using a DSP TMS3202812 in applications to a 1400 W prototype of boost PFC AC/DC converter. Experimental results are given to illustrate the feasibility of the proposed control scheme.
As a fundamental problem of wireless sensor networks, the minimal exposure path problem corresponding to the sensor network's worst-case coverage plays an important role in the applications for detecting intrusion...
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ISBN:
(纸本)9781424441488
As a fundamental problem of wireless sensor networks, the minimal exposure path problem corresponding to the sensor network's worst-case coverage plays an important role in the applications for detecting intrusions. However, most existing works about minimal exposure path are based on omnidirectional sensors. In contrast, this paper studies the minimal exposure path problem for directional sensor networks. We first develop a directional sensing model: directional sensitivity model. Then, we formulate the minimal exposure path problem by using two sensing intensity functions: all-sensor intensity function and maximum-sensor intensity function, and generate two weighted grids to convert the minimal exposure path problem into two discrete geometric problems. Based on the above weighted grids, we also develop two approximation algorithms to find the minimal exposure path for the directional sensitive model. We conduct extensive simulations to validate and evaluate our proposed models and algorithms.
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