This paper describes property evaluation and clustering of sensor data that depends on different gas types and their concentrations. The application subject is to find gas specific information by a multidimensional fe...
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ISBN:
(纸本)0769524575
This paper describes property evaluation and clustering of sensor data that depends on different gas types and their concentrations. The application subject is to find gas specific information by a multidimensional feature set to give qualitative and quantitative statements. This is investigated by different clustering methods, the fuzzy-c-means algorithm and its derivatives and neural networks. The resulting patterns will be deployed as recognition field for gas detection, that takes recalibration mechanisms into consideration.
The current work presents an API based on the Real-Time Specification for Java (RTSJ) that optimizes real-time embedded systems development. Using this API it is possible to state non-functional specifications, like t...
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The current work presents an API based on the Real-Time Specification for Java (RTSJ) that optimizes real-time embedded systems development. Using this API it is possible to state non-functional specifications, like time constraints, and guarantee its implementation in the selected platform. Moreover, it discusses how real-time requirements derived from the RT-UML standard can be mapped to the elements from the proposed API. An integrated toolset is used to support the intermediate steps of this mapping process. The paper illustrates the mapping mechanism by means of a case study that implements the control system of an automated wheelchair.
In this paper a combined control structure to decrease the rollover risk of heavy vehicles is developed. In this structure active anti-roll bars are combined with an active brake control. To enhance the performance of...
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In this paper a combined control structure to decrease the rollover risk of heavy vehicles is developed. In this structure active anti-roll bars are combined with an active brake control. To enhance the performance of the active brake, this mechanism is extended with a prediction procedure, in which the critical values are predicted in advance using a short time interval. In order to predict an imminent rollover, an observer-based prediction algorithm is proposed to estimate in advance the load transfers. The control design is based on the linear parameter varying model of yaw-roll dynamics of heavy vehicles. In the control design both the performance demands and the model uncertainties are taken into consideration. The control mechanism is demonstrated in a double lane change maneuver
In this paper a gray-box identification method is investigated for linear parameter varying (LPV) continuous-time systems. An algorithm is given to analyze the parameter identifiability problem. Since the initial cond...
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In this paper a gray-box identification method is investigated for linear parameter varying (LPV) continuous-time systems. An algorithm is given to analyze the parameter identifiability problem. Since the initial conditions are not assumed to be known, an observer based identification scheme is proposed. This is an identification method with two steps. In the first step a Luenberger type observer is designed, and in the second step a parameter estimation for the observer system is performed. The role of an observer based identification scheme in the elimination of the effects caused by the unknown initial conditions is highlighted. The importance of the selection of sampling time is also shown. The method is demonstrated through an estimation of the features of the gravity center of heavy vehicles
This paper investigates the problem of reference tracking for systems defined by a Wiener model. The proposed method does not suppose that the full state vector is measured and it is based on a dynamic inversion appro...
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This paper investigates the problem of reference tracking for systems defined by a Wiener model. The proposed method does not suppose that the full state vector is measured and it is based on a dynamic inversion approach with error feedback. It is assumed however, that the inverse of the nonlinear part can be constructed. As an example a tracking control of a pressurizer is also provided
In this paper a practical method is presented for modelling uncertainty of a nominal linear parameter-varying (LPV) vehicle model. The aim with the uncertainty model is to bound the nominal model-error and satisfy rob...
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In this paper a practical method is presented for modelling uncertainty of a nominal linear parameter-varying (LPV) vehicle model. The aim with the uncertainty model is to bound the nominal model-error and satisfy robust stability and performance objectives during robust control design. Existing frequency-domain model-validation methods are applied to perform the first aim. The linear fractional uncertainty structure and the distribution of nominal model-error among the uncertainty blocks and disturbances are chosen to perform the second aim. The paper is motivated by the problem of steering a vehicle by alternately braking the front wheels in emergency situations. The identification is performed on real experiment data. The method and the results are demonstrated on a yaw-rate tracking problem and μ-controller design on constant scheduling variable of the LPV model. Using the proposed algorithm, on the supposition that nominal model error remains below the bound estimated from the validation data set, an unfalsified model is constructed for robust control guaranteeing robust performance against worstcase uncertainty and disturbance.
In this paper an integrated control structure with individual active control mechanisms, i.e. active anti-roll bars, active suspensions, and an active brake mechanism, is proposed. Its purpose is to improve rollover p...
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In this paper an integrated control structure with individual active control mechanisms, i.e. active anti-roll bars, active suspensions, and an active brake mechanism, is proposed. Its purpose is to improve rollover prevention, passenger comfort, road holding and guarantee the suspension working space. In the control design the performance specifications both for rollover and suspension problems, and the model uncertainties are taken into consideration. In the weighting strategy of control design fault information is also taken into consideration. The design of the control system is based on an H ∞ Linear Parameter Varying (LPV) method. To enhance the performance of the controlled system, the control mechanism is extended with a prediction procedure, in which an observer-based prediction algorithm is proposed.
This paper deals with the implementation of Haar wavelet to the optimal control of linear singularly perturbed systems. The approximated composite control and the slow and fast trajectories with respect to a quadratic...
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The paper presents a method for the constrained Moving Horizon Estimation of origin-destination (OD) matrices for traffic networks. In traffic systems split ratios are important parameters for OD estimation and for co...
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The paper presents a method for the constrained Moving Horizon Estimation of origin-destination (OD) matrices for traffic networks. In traffic systems split ratios are important parameters for OD estimation and for control problems as well. The paper treats the general constrained Moving Horizon Estimation problem for traffic systems modelled in terms of linear time varying system and solves the split rate estimation process. The estimation is subjected to equality and inequality constraints. A numerical example is solved to demonstrate the Moving Horizon Estimation of split variables.
The application of pattern recognition techniques, expert systems, artificial neural networks, fuzzy systems and nowadays hybrid artificial intelligence techniques in manufacturing can be regarded as consecutive eleme...
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ISBN:
(纸本)9789638658647
The application of pattern recognition techniques, expert systems, artificial neural networks, fuzzy systems and nowadays hybrid artificial intelligence techniques in manufacturing can be regarded as consecutive elements of a process started two decades ago. The paper outlines the most important steps of this process. Agentbased systems are highlighted as promising tools for managing complexity, changes and disturbances in production. Further integration of approaches is predicted.
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