Dynamic (average) consensus-based secondary control (SC) is a common and effective method to achieve distributed voltage recovery and load-sharing for multi-bus microgrids (MGs). However, dynamic consensus requires hi...
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In this work a parallel solution method for model predictive control is presented based on the alternating direction multiplier method. Our approach solves the overall problem by decomposing it along the time-axis int...
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This paper addresses problems related to the designing a fault detection (FD) for switched systems based on fault detection filter (FDF). The main contribution in this paper is to develop a residual evaluation and thr...
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This paper addresses problems related to the designing a fault detection (FD) for switched systems based on fault detection filter (FDF). The main contribution in this paper is to develop a residual evaluation and threshold computation scheme in an integration approach, to achieve an optimal FD for the switched systems. The basic idea behind this scheme is to utilize the available information provided by each local sub-model in the residual generation and evaluation, by constructing weighting factors, that reflect the effect of each local sub-model. In comparison with the standard FD methods, the proposed scheme will lead to a significant improvement in fault detectability for switched systems. The problem is formulated in the well-established LMI optimization techniques with Multiple Laypunov Functions (MLF).
Wind energy is one of the widely applied renewable energies in the world. Wind turbine as the main wind energy converter at present has very complex technical system containing a huge number of components,actuators an...
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Wind energy is one of the widely applied renewable energies in the world. Wind turbine as the main wind energy converter at present has very complex technical system containing a huge number of components,actuators and sensors. However, despite of the hardware redundancy, sensor faults have often affected the wind turbine normal operation and thus caused energy generation loss. In this paper, aiming at the wind turbine hydraulic pitch system, data-driven design of process monitoring(PM) and diagnosis has been realized in the wind turbine benchmark. Fault tolerant control(FTC) strategies focused on sensor faults have also been presented here, where with the implementation of soft sensor the sensor fault can be handled and the performance of the system is improved. The performance of this method is demonstrated with the wind turbine benchmark provided by Math Works.
In this paper, with the help of the Youla parameterization, the realizations of feedback controlsystems are discussed which results in a preferable and more convenient way to realize plug-and-play (PnP) control witho...
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This paper proposes two different approaches to the problem of modelling the key performance indicators (KPIs) in a hot strip mill process (HSMP). The first approach takes into consideration the inherent dynamics of t...
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This paper presents the research on the closed-loop data-driven design of the process monitoring system. The core of the study is the closed-loop identification of the data-driven stable kernel representation (SKR) of...
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In this paper, a generalized likelihood ratio based detection algorithm with a statistical method for threshold setting is proposed to detect cyber-attacks on a unified remote control architecture. Based on an encoder...
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This paper surveys the current situation of industrial applications of process monitoring and fault diagnosis (FD). At first, opportunities and challenges faced by advanced FD in industrial applications are discussed....
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In this paper fault detection is addressed for networked controlsystems subject to random packet dropout in both sensor-to-controller link and controller-to-actuator link. First a new model of NCS is proposed, which ...
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