This paper presents theory, algorithms and validation results for system identification of continuous-time state-space models from finite input-output sequences. The algorithms developed are methods of subspace model ...
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Voting algorithms have been widely used in the realisation of fault-tolerant systems. We introduce a new algorithm of software voting termed as adaptive majority voter. It uses the history of modules of a N-Modular Re...
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Voting algorithms have been widely used in the realisation of fault-tolerant systems. We introduce a new algorithm of software voting termed as adaptive majority voter. It uses the history of modules of a N-Modular Redundant (NMR) system to select the result of the most reliable module if it contributes toward a majority consensus. Furthermore, a new method for on-line creation of a history record of modules in a Triple Modular Redundant, TMR, system is proposed. The history vector of modules are not only used to improve the behaviour of a wide range of traditional voters, but also can be used to identify the most erroneous/faulty modules of a system to take appropriate reconfiguration or damage preventive strategies. The empirical results show that the novel 'adaptive majority voter' has higher safety and availability levels than the traditional majority voter.
To cope with the growing demands for simulation models of ever increasing complex industrial systems, the research community effort has been mainly focused on creating different software tools which simplify the model...
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To cope with the growing demands for simulation models of ever increasing complex industrial systems, the research community effort has been mainly focused on creating different software tools which simplify the modelling task. There is a recognised necessity of modelling tools supporting libraries of non-causal models which could be coupled in the same way as physical units are assembled in a system. This work presents an object-oriented modelling language, PML, designed to support a modelling methodology where system models are described by linking system component models analogously as the system components are linked. This modelling language introduces a new modularization of physical knowledge, making a clear separation between the physical behaviour representation (declarative knowledge) and the computational aspects of model simulation (procedural knowledge).
The final step in zinc hydrometallurgy is the electrolytic process. The most important parameters to control the the concentrations of zinc and sulfuric acid in the electrolyte. This paper proposes an expert control s...
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The final step in zinc hydrometallurgy is the electrolytic process. The most important parameters to control the the concentrations of zinc and sulfuric acid in the electrolyte. This paper proposes an expert control strategy for determining and tracking the optimal concentrations, which uses neural networks, rule models and a single-loop control scheme. First, the process is described and the strategy that features an expert controller and three single-loop controllers is explained. Next, neural networks and rule models are constructed based on statistical data and empirical knowledge on the process. Then, the expert controller for determining the optimal concentrations is designed through a combination of the neural networks and rule models. The three single-loop controllers use the PI algorithm to track the optimal concentrations. Finally, the results of actual runs using the strategy are presented. They show that the strategy provides not only high-purity metallic zinc, but also significant economic benefits.
ILM-RIVER is a universal tool for the task of the simulation and the control of rivers and cascades of hydropower plants. The tool consists of two libraries. One for modeling rivers and reservoirs, a second for the co...
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ILM-RIVER is a universal tool for the task of the simulation and the control of rivers and cascades of hydropower plants. The tool consists of two libraries. One for modeling rivers and reservoirs, a second for the control of individual hydropower plants or cascades of hydropower plants. The libraries contain modules which can be associated with each other. The parameter estimation of the modules is left to the user.
in this paper a general algorithm to obtain Robust H ∞ Static Output Feedback controllers is derived. The technique used is based on the transformation of the time-varying uncertainty problem into one without uncerta...
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in this paper a general algorithm to obtain Robust H ∞ Static Output Feedback controllers is derived. The technique used is based on the transformation of the time-varying uncertainty problem into one without uncertainty and then applying the dual-iteration numerical technique of Iwasaki to the problem of determining the optimal parameters for a static H ∞ output feedback controller. To show how the method works, we apply it to a model which contains time-varying structured parameter uncertainty and is subject to external disturbances.
In this paper, a pseudo measurement model is adopted to deal with the Kalman filter problem with color measurement noise. It is assumed that the measurement noise is color, and is described by an AR(n) model. The stat...
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In this paper, a pseudo measurement model is adopted to deal with the Kalman filter problem with color measurement noise. It is assumed that the measurement noise is color, and is described by an AR(n) model. The state equation is set up according to Singer's model. The measurement equation is set up in polar coordinate and the range rate measurement is combined with ordinary data (i.e., there are four measurement data: range r, azimuth /spl theta//sub a/, elevation /spl theta//sub e/ and range rate r/spl dot/). By means of proper coordinate transformation, the matrix of Kalman gain and the matrix of filter error covariance can be decoupled. Thus the computing requirement of the algorithm is reduced and can be performed in real time.
This paper presents a new real-time architecture for motion control of industrial robots. The new controlsystem obtained has two main advantages: first it provides a total open control architecture and the second adv...
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This paper presents a new real-time architecture for motion control of industrial robots. The new controlsystem obtained has two main advantages: first it provides a total open control architecture and the second advantage is the simplicity and the interactivity of the platform developed. Experimental evaluation of a passivity-based control scheme shows the benefits of the architecture which is unique in the sense that open and advanced control can be combined with built-in safety logic as required in industrial applications.
In this paper we consider the problem of stabilizing the seeker scan loop mounted in a missile head. The system consist of a spin-stabilizing gyro-optics assembly and its driving signal processor. The model contains t...
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controlsystems are required to meet increasingly stringent reliability and safety constraints. In many industrial applications, arbitration between redundant subsystems using voting algorithms is popular. Many voting...
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controlsystems are required to meet increasingly stringent reliability and safety constraints. In many industrial applications, arbitration between redundant subsystems using voting algorithms is popular. Many voting strategies implemented in hardware or software have been proposed, of which majority and median voters have been widely used in real applications. Detailed analysis of voters shows that they can be considered as a combination of independent components, each performing a specific function. The simulation of a component oriented model of voters is addressed. A library of components has been provided and the simulated model of component oriented model of a voter is introduced. The generality of the model supports the analysis of a large number of voter permutations. The paper presents the simulation results of a novel component oriented voter, the smoothing voter, which combines the safety properties of the majority voter with the advantages of mid value selection strategy. This work presents a first step toward the automatic insertion and implementation of voting algorithms using a software design environment.
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