In this paper the Fault Detection and Identification (FDI) filter which identifies the different actuator and sensor failures is designed. The FDI filter design is based on the weighted H∞ filtering. It uses the Line...
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In this paper, we propose a multi-category classification method that combines binary classifiers through soft-max function. Posteriori probabilities are also obtained. Both, one-versus-all and one-versus- one classif...
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In this article the disturbance attenuation problem arising in Failure Detection and Identification (FDI) using detection filters is discussed. The filter is designed using the general Fundamental Problem of Residual ...
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The zero dynamics of simple continuous and fed-batch biore-actors is investigated in this paper for different input and output selections. A function λ generating the necessary coordinates transformation has been det...
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A method of designing switching controllers for a class of switched systems is presented. It is shown how the design of the switching controller can be broken down into separate design problems for the continuous and ...
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A method of designing switching controllers for a class of switched systems is presented. It is shown how the design of the switching controller can be broken down into separate design problems for the continuous and the discrete controller parts. The main advantage of this approach is that it leads to smaller design problems of manageable complexity and it gives the designer more flexibility. In contrast to other switching controller design methods which seek to find a switching sequence and/or a sequence of switching times, the approach presented in this paper considers the interaction between the continuous and the discrete dynamics and yields a switching controller which works in closed-loop. The approach is illustrated by its application to a manufacturing cell
Model-based fault detection relies on checking the discrepancy between the measurements obtained from a monitored process and its model. In general, the model representing the process behaviour has substantial uncerta...
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Model-based fault detection relies on checking the discrepancy between the measurements obtained from a monitored process and its model. In general, the model representing the process behaviour has substantial uncertainties. In this contribution, two fault detection methods that explicitly take the modelling uncertainties into account are presented and compared. The first approach uses the interval model while the second tackles the process to be monitored as a quantised system. The main ideas of both approaches are discussed and the results of the fault detection using each approach will be analysed and compared with respect to the DAMADICS actuator benchmark.
In this paper the idea of input reconstruction by means of system inversion is discussed. In view of the latest results of geometrical system theory the properties of the inverse is characterized. It is shown how the ...
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In this paper the idea of input reconstruction by means of system inversion is discussed. In view of the latest results of geometrical system theory the properties of the inverse is characterized. It is shown how the dynamic inversion approach can be used to construct residual generators to fault detection and isolation. Linear and nonlinear systems with vector relative degree are considered.
In this paper, a servo control synthesis based on the μ method is applied. With this method, a robust compensator that achieves performance specifications can be designed, which provides the track of the predefined r...
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In this paper, a servo control synthesis based on the μ method is applied. With this method, a robust compensator that achieves performance specifications can be designed, which provides the track of the predefined reference signal, rejects the effects of the disturbances and takes structured uncertainty into consideration. In the mixed μ synthesis, both the real parametric and the complex uncertainties are handled together, which usually yields a less conservative compensator than the traditional robust control design methods. The design strategy is illustrated for an inverted pendulum device, which involves real parametric uncertainties.
This paper is concerned with the use of active brake systems in order to decrease the rollover risk of heavy vehicles. Since the forward velocity of the vehicle changes in time, the combined yaw-roll dynamic model has...
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This paper is concerned with the use of active brake systems in order to decrease the rollover risk of heavy vehicles. Since the forward velocity of the vehicle changes in time, the combined yaw-roll dynamic model has a nonlinear structure. Selecting the forward velocity and the so-called normalized lateral load transfer at the rear side as scheduling parameters, a Linear Parameter Varying (LPV) model is constructed. In the control design based on the LPV model, the changes in the forward velocity, the performance requirements and the model uncertainties are taken into consideration. The control design is demonstrated in different situations.
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