The Z-source neutral point clamped (NPC) inverters can realize buck-boost energy conversion with all satisfying advantages of the three-level inverters. A significant problem related to this topology is the fluctuatio...
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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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Traditional anti-windup compensators are designed for activation immediately at the occurrence of actuator ***,anti-windup compensators were designed for actuation either after the saturation has reached a certain lev...
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Traditional anti-windup compensators are designed for activation immediately at the occurrence of actuator ***,anti-windup compensators were designed for actuation either after the saturation has reached a certain level or in anticipation of its *** the case of static anti-windup compensators,it has been shown that an anti-windup compensator designed for activation in anticipation of actuator saturation would lead to better performance than those designed for immediate or delayed activation could,both in terms of transient performance and the size of the domain of *** recently,it has been shown that a dynamic anti-windup compensator designed for anticipatory activation would also result in better transient performance than those designed for immediate or delayed activation *** this paper,we design dynamic anti-windup compensators for the enlargement of the domain of *** compensators are designed respectively for immediate,delayed and anticipatory *** will show by simulation that a dynamic anti-windup compensator designed for anticipatory activation would result in a larger domain of attraction than a dynamic anti-windup compensator designed for immediate or delayed activation could.
This paper mainly discusses the remote tracking problem with partly quantized information and packet-dropout. Since the network exists between the remote plant and the local plant, any information transmitted between ...
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ISBN:
(纸本)9781479947249
This paper mainly discusses the remote tracking problem with partly quantized information and packet-dropout. Since the network exists between the remote plant and the local plant, any information transmitted between each other will experience the quantization errors and may be lost. In this situation, the controller of the local system needs to consider both the exact local information and the inaccurate remote information. A state feedback controller is adopted and the theorems to design such controller are given in terms of bilinear matrix inequalities(BMIs). Moreover, an algorithm is proposed and these BMIs are converted into a convex optimization problem. Finally, the efficiency of the proposed method is demonstrated by a simulation example.
In this paper, we consider the robust fault tolerant control of the distributed networked controlsystems(DNCSs). In DNCSs, sub-systems are connected with each other through a communication network. Each sub-system ha...
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ISBN:
(纸本)9781479947249
In this paper, we consider the robust fault tolerant control of the distributed networked controlsystems(DNCSs). In DNCSs, sub-systems are connected with each other through a communication network. Each sub-system has its own sensor, controller, actuator and quantizer. The output of each sub-system will be transmitted to all other sub-systems through the network. As a result, quantization errors and packet-dropouts cannot be avoided. We also consider the actuator faults situations, including outage, loss of effectiveness and impulse which is modeled by a Markov chain in this paper. A mode-based static output feedback controller is proposed to stable the DNCSs and to meet the robust H-inf performance. Finally, a simulation example is given to illustrate the effectiveness of the proposed method.
Furnace exit gas temperature(FEGT) is the key parameter in the furnace ash fouling monitoring system. Since the standard least squares support vector machine(LSSVM) is not suitable for online identification and contro...
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ISBN:
(纸本)9781479947249
Furnace exit gas temperature(FEGT) is the key parameter in the furnace ash fouling monitoring system. Since the standard least squares support vector machine(LSSVM) is not suitable for online identification and control of FEGT,a novel CM-LSSVM-PLS method is proposed to predict FEGT in this paper. In the process of CM-LSSVM-PLS method, c-means cluster(CM) algorithm is used to partition the training data into several different subsets by considering the characteristics of operational data. Submodels are subsequently developed in the individual subsets based on LSSVM method. Partial least squares algorithm(PLS) is employed as the combination strategy. The online updating algorithm is then applied to the CM-LSSVM-PLS model. The proposed online model is verified through operation data of a 300 MW generating unit. The simulation results show that the proposed online updating model is effective for online FEGT forecasting.
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are originally defined by control affine state-space representations. The conver...
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This paper deals with the peristaltic flow of an incompressible and electrically conducting Williamson fluid in a symmetric planar channel with heat and mass transfer. Hall effects, viscous dissipation and Joule heati...
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This paper deals with the peristaltic flow of an incompressible and electrically conducting Williamson fluid in a symmetric planar channel with heat and mass transfer. Hall effects, viscous dissipation and Joule heating are also taken into consideration. Mathematical model is presented by using the long wavelength and low Reynolds number approximations. The differential equations governing the flow are highly nonlinear and thus perturbation solution for small Weissenberg number (0 〈 We 〈 1) is presented. Effects of the heat and mass transfer Biot numbers and Hall parameter on the longitudinal velocity, temperature, concentration and pumping characteristics are studied in detail. Main observations are presented in the concluding section, The streamlines pattern and trapping are also given due attention.
We present an efficient algorithm for non-rigid registration of two partially overlapping 3D surfaces in which a target surface is a deformed instance of a source surface. The algorithm is implemented in two main phas...
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ISBN:
(纸本)9789897580024
We present an efficient algorithm for non-rigid registration of two partially overlapping 3D surfaces in which a target surface is a deformed instance of a source surface. The algorithm is implemented in two main phases. In the first phase, the robust algorithm that is used is based on a probability density estimation to find reliable correspondences between the two surfaces. Then, in the second phase, a deformation algorithm is applied for non-rigid registration where the displacement of each point is described by an affine transformation in relation with other points of the same surface and its corresponding point on the other surface. Combined with initial correspondences in the first phase, an effective strategy for optimization of a cost function is carried out to align the two surfaces without using any assumption and user-intervention on the algorithm. We test the robustness of our method by efficiently aligning pairs of surfaces of realistic scan data of human body models.
Motivated by missing data recovery for power system monitoring, we study the problem of matrix completion when each column belongs to either one of a few low-dimensional subspaces or the sum of a subset of subspaces. ...
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ISBN:
(纸本)9781479975921
Motivated by missing data recovery for power system monitoring, we study the problem of matrix completion when each column belongs to either one of a few low-dimensional subspaces or the sum of a subset of subspaces. This novel model "union and sums of subspaces" is a generalization of the model of a union of subspaces (UoS) studied under subspace clustering. It characterizes the low-dimensional nonlinear structure in high-dimensional data points. We propose a convex-optimization-based method to recover missing entries under this model and provide its theoretical guarantee. Numerical experiment on power system data is conducted to verify the effectiveness of the method.
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