This paper investigates the data-driven realization of predictive controllers, and its application to fault-tolerant control. With the aid of subspace identification method, the subspace predictor is first derived in ...
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This paper investigates the data-driven realization of predictive controllers, and its application to fault-tolerant control. With the aid of subspace identification method, the subspace predictor is first derived in the closed-loop setup. To cope with the change in the process, a recursive algorithm is adopted to recursive update the subspace matrices. The data-driven predictive controller is designed by seeking the solution of the quadratic programming problem, without the information of the predesigned controller. Then, it is applied to fault-tolerant control by implementing the recursive subspace predictor. In the end, the effectiveness of the proposed method is verified by a case study on the three-tank system. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
In this paper, a recursive subspace identification method is proposed for Hammerstein-type nonlinear systems that is affected by slow time-varying load disturbance. Based on superposition principle, the system output ...
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ISBN:
(纸本)9781728113128
In this paper, a recursive subspace identification method is proposed for Hammerstein-type nonlinear systems that is affected by slow time-varying load disturbance. Based on superposition principle, the system output response is divided into three parts, i.e. disturbed, stochastic and deterministic components. Correspondingly, the disturbance response is regarded as a time-varying variable to be identified. In order to achieve the goal of identifying the system matrices accurately, a recursive least-squares (RLS) identification method is proposed. The peculiarity of this method lies in the introduction of forgetting factors. One of the forgetting factors quickly tracks the load disturbance response, the other are for recursive estimation. An illustrative example is presented to demonstrate the effectiveness and merit of the proposed identification method.
In this paper, the distributed state estimation problem is studied for a class of state-saturated power systems subject to Denial-of-Service (DoS) attacks. The randomly occurring DoS attacks is modeled by a series of ...
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ISBN:
(纸本)9781728177090
In this paper, the distributed state estimation problem is studied for a class of state-saturated power systems subject to Denial-of-Service (DoS) attacks. The randomly occurring DoS attacks is modeled by a series of Bernoulli distributed stochastic variables with known probability distributions. The aim of this paper is to design a distributed estimator ensure, in the presence of both cyber-attacks and state saturations, the desired estimation performance is satisfied. By virtue of some typical matrix inequalities, a tight upper bound of estimation error covariance is derived. The estimation parameters are obtained with the help of the solution of a set of Riccatilike difference equations. The developed recursive algorithm is independent of the global information and thus satisfies the requirements of scalability and online application. Finally, a practical example is developed to verify the validity of the designed estimator.
The method of transforming a ladder diagram (LD) and an instruction list (IL) of PLC (Programmable Logic Controller) to each other is investigated in this paper. Firstly, ladder-step is adopted on transforming LD into...
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ISBN:
(纸本)9783037853849
The method of transforming a ladder diagram (LD) and an instruction list (IL) of PLC (Programmable Logic Controller) to each other is investigated in this paper. Firstly, ladder-step is adopted on transforming LD into IL. Ladder-step is divided series or parallel by using recursive algorithm, and then complicated ladder-step can be divided into several simple ladder-steps which can be converted to IL easily. When obtaining simple ladder-steps' IL, combining them together to get final IL program of complicated LD program. Secondly, on transforming IL into LD, stack algorithm contributes a lot. Scanning IL to generate LD of each instruction block, and then pushing them into stack. Combine LDs in the stack by operating instruction, and then IL is transformed into LD successfully. Finally, in the last part of this paper, we show our PLC software and lower position machine. In addition, this transforming algorithm has already applied in PLC software successfully.
In this paper a new systematic method to derive the equation of motion of n-rigid robotic manipulators with revolute joints is considered. The equation of motion for this robotic system is obtained based on Kane formu...
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ISBN:
(纸本)9781479967438
In this paper a new systematic method to derive the equation of motion of n-rigid robotic manipulators with revolute joints is considered. The equation of motion for this robotic system is obtained based on Kane formulation. Based on the developed formulation, an algorithm is proposed that recursively and systematically derives the equation of motion. Finally, a computational simulation for a manipulator with three revolute joints is presented to show the ability of this algorithm in deriving and solving high degree of freedom of robotic systems.
This paper introduces in detail the design and analysis of the algorithm of computing the number of descendant nodes of each node in the triple tree based on analyzing the special storage structures of triple tree. Th...
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ISBN:
(纸本)9783642217821
This paper introduces in detail the design and analysis of the algorithm of computing the number of descendant nodes of each node in the triple tree based on analyzing the special storage structures of triple tree. The recursive algorithm description in C is introduced subsequently after the design ideas, the implementation methods, and the concrete steps of the algorithm were given. Finally, the algorithm is evaluated from the two aspects of time complexity and space complexity.
An essential aspect of the collaborative multidisciplinary preliminary design process of aircraft engines is the involvement of a large number of experts from different disciplines and the usage of numerous tools and ...
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ISBN:
(数字)9781624106095
ISBN:
(纸本)9781624106095
An essential aspect of the collaborative multidisciplinary preliminary design process of aircraft engines is the involvement of a large number of experts from different disciplines and the usage of numerous tools and workflows. This is a major challenge, especially in the area of data management, as large amounts of data are generated that have to be exchanged and traced via a multitude of interfaces. The purpose of the paper is to present an approach of a central data model as a vehicle for data management in collaborative aircraft engine preliminary design. The first part describes the general structure and abstract definition of the developed data model utilizing modeling languages. Subsequently, a detailed description of the geometric parameterization concerning important engine components and additional data structures follows. Besides the methodology, the software implementation to support this approach is presented in detail, including data serialization and data identification, as well as automated capturing and storage of provenance data throughout the design process. The functionality of the approach is demonstrated by means of examples derived from the preliminary engine design.
Wireless spread spectrum is a standout amongst the most valuable assets. With the fast development of the quantity of remote gadgets, interchanges over the unlicensed range groups get to be extremely swarmed. Data dis...
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ISBN:
(纸本)9781509061358
Wireless spread spectrum is a standout amongst the most valuable assets. With the fast development of the quantity of remote gadgets, interchanges over the unlicensed range groups get to be extremely swarmed. Data dissemination in the wireless environment is usually characterized as the spreading of data to numerous goals through communicating. The principle target is to achieve the most extreme number of neighbors with each sent parcel. The main objective of the paper is to find the best routing and resource allocation strategies in order to minimize the average end-to-end delay of multiple data connections in the cognitive radio based wireless mesh network. Wireless mesh nodes utilize the cognitive radio to share the spectrum with primary users. Depending on the primary user's activities, the spectrum resources available to the cognitive mesh nodes are varying in both space and time. In this joint design scheme can accommodate the traffic load, or achieve half the delay compared to the disjoint methods.
Accurate and precise Mesh Generation is exceedingly significant for flow resolution in high gradient fluid flows. Reliability and trustworthiness of these CFD solutions had been enhanced and brought closer to the real...
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ISBN:
(纸本)9781728119557
Accurate and precise Mesh Generation is exceedingly significant for flow resolution in high gradient fluid flows. Reliability and trustworthiness of these CFD solutions had been enhanced and brought closer to the real solution of problems attained by wind tunnel or experiments. This was made possible by incorporating recent mesh generation techniques, algebraic and statistical adaptive methodology to aerospace, aeroacoustic and unsteady combustion problems. These complicated methods of grid generation and adaptation are difficult to incorporate in complex and high gradient region of model restricting their practices on such complex geometries and flow problems. The current research focuses on these issues of mesh generation, adaptation and recursive improvement of the resolution of flow and its solution. The results obtained by using these methods are compared with available data with good agreement.
We describe the construction of accurate panoramic mosaics from multiple images taken with a rotating camera, or alternatively of a planar scene. The novelty of the approach lies in (i) the transfer of photogrammetric...
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We describe the construction of accurate panoramic mosaics from multiple images taken with a rotating camera, or alternatively of a planar scene. The novelty of the approach lies in (i) the transfer of photogrammetric bundle adjustment techniques to mosaicing;(ii) a new representation of image line measurements enabling the use of lines in camera self-calibration, including computation of the radial and other non-linear distortion;and (iii) the application of the variable state dimension filter to obtain efficient sequential updates of the mosaic as each image is added. We demonstrate that our method achieves better results than the alternative approach of optimising over pairs of images. (C) 2002 Elsevier Science B.V. All rights reserved.
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