The terrain-aided navigation problem is a highly nonlinear estimation problem with application to aircraft navigation and missile guidance. In this work the Bayesian approach is used to estimate the aircraft position....
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The terrain-aided navigation problem is a highly nonlinear estimation problem with application to aircraft navigation and missile guidance. In this work the Bayesian approach is used to estimate the aircraft position. With a quantization of the state space an implementable algorithm is found. Problems with low excitation, rough terrain and parallel position hypothesis are handled in a reliable way. The algorithm is evaluated using simulations on real terrain databases.
Traditional control of intersections through traffic lights does not reach the possible flow of vehicles over the intersection. If one puts vehicle detectors around an intersection, the control program can adapt to th...
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Traditional control of intersections through traffic lights does not reach the possible flow of vehicles over the intersection. If one puts vehicle detectors around an intersection, the control program can adapt to the current traffic situation. For an optimal control of the intersection it must be possible to interpret the available measurements as well as possible: therefore position and speed of each vehicle must be determined. The paper presents a process for the continuous estimate of position and speed on driveways to intersections on which vehicle detectors are installed. Measurements in the city of Zurich are shown and discussed.
Dynamic traffic flow development on a road section without off- and on-ramps is determined by time dependent boundary conditions and initial density and velocity distributions. In cases of application, usually, these ...
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Dynamic traffic flow development on a road section without off- and on-ramps is determined by time dependent boundary conditions and initial density and velocity distributions. In cases of application, usually, these initial distributions are not known. Based on the works by Kerner et al . (1993a, b, 1994), a measurement-based traffic flow simulation for the determination of section related traffic data was developed (Kronjäger et al. 1995). Starting with initial conditions obtained by interpolating the measured traffic data, using finite difference methods and a tailored least-square method, the model allows the calculation of the density and velocity profiles as a function of time and space. The study of this approach in different field tests has shown, that after a certain time the simulated traffic flow quantities comply well with experimental data.
This paper presents a constructive solution to the design problem of observers to estimate both system state and unknown inputs. We propose an equivalent system, which is free of unknown inputs to derive the observer....
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This paper presents a constructive solution to the design problem of observers to estimate both system state and unknown inputs. We propose an equivalent system, which is free of unknown inputs to derive the observer. Based on the equivalent system description, one can design an observer to estimate both the system state and the unknown inputs simultaneously. Experimental results for a tank system demonstrate the applicability of the proposed methodologies.
In this paper, we present a design method for Unknown Inputs Observers used for Actuator and Component Fault Detection and Isolation. Based on the formulation introduced by (Hou and Müller,1994) a more simple sol...
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In this paper, we present a design method for Unknown Inputs Observers used for Actuator and Component Fault Detection and Isolation. Based on the formulation introduced by (Hou and Müller,1994) a more simple solution is put forward to design a set of observers which detects and isolates the failures by the observation of the nonzero occurrence of the residuals. The necessary and sufficient conditions for the existence of these observers are given, and the results are illustrated by a numerical example
Two autopilots for track-keeping of the ship along the defined trajectory are described in the article: a linear quadratic output feedback controller and a cascaded robust controller. Both are using the rudder as the ...
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Two autopilots for track-keeping of the ship along the defined trajectory are described in the article: a linear quadratic output feedback controller and a cascaded robust controller. Both are using the rudder as the only control-actuator. The paper presents mathematical foundations of the problem, filtering techniques, and results of the simulations performed on a material ship model on the Silm Lake.
In this paper, we introduce a new blind equalization algorithm based on the matrix decomposition of 4th-order statistics of received samples. The algorithm is easy to implement and resistant to the errors in computati...
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In this paper, we introduce a new blind equalization algorithm based on the matrix decomposition of 4th-order statistics of received samples. The algorithm is easy to implement and resistant to the errors in computation and modeling. Simulation results show that under a mild condition on the channel, it works well with a short symbol sequence even if the channel time-span is not accurately estimated.
The paper reports on the on-going development of an interactive computer package for assisrmg in the introduction and in the reinforcement of concepts of discrete time adaptive/self-tuning control to undergraduates in...
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The paper reports on the on-going development of an interactive computer package for assisrmg in the introduction and in the reinforcement of concepts of discrete time adaptive/self-tuning control to undergraduates in the area of electronics, computer systems and control engineering. The project is being carried out jointly by staff of the Control Theory and Applications Centre, Coventry University, UK, and the Institute of Control and Systems Engineering, Technical University of Wroclaw, Poland.
Stochastic volatility models aie a well-known framework for the analysis of financial time series data, together with the other important class of ARCH-type models. The main difference between them, at least from a st...
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Stochastic volatility models aie a well-known framework for the analysis of financial time series data, together with the other important class of ARCH-type models. The main difference between them, at least from a statistical point of view, relies on the possibility of obtaining exact inference, in particular with regard to the estimation issue. Whereas for ARCH-type models the standard results apply, in the sense that maximum likelihood estimates for the parameters of interest can be computed, for stochastic volatility models there are more complications and usually only approximate results can be obtained, unless two particular estimation strategies are employed: exact non-Gaussian filtering methods or simulation techniques. This paper stresses the importance of "only" approximate and therefore suboptimal estimation methods for special models whose complexity makes it difficult to find exact solutions. The setup where the analysis is conducted is the state-space formulation and this suggests enclosing the cases here considered in a class of so-called stochastic volatility systems.
This paper deals with the design of a control system for a lipase production process. The aim is to maximise the enzyme production when the process is operating in fed-batch mode, by controlling the substrate feeding ...
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This paper deals with the design of a control system for a lipase production process. The aim is to maximise the enzyme production when the process is operating in fed-batch mode, by controlling the substrate feeding rate and by using the only on-line measurement available, C.E.R., given by gas analysis. At first, a dedicated estimation strategy is proposed to cope with the lack of on-line measurements. This strategy is based on minimal use of the complex and nonlinear process model in which kinetic parameters are hot perfectly known. It consists in splitting the estimation problem into three cascade subproblems and solving them by appropriate algorithms for which stability and convergence are proved under realistic conditions. The whole estimation (three state variables and two kinetic parameters) is tested and tuned by simulation and then successfully applied and validated on the real process. In the second part, an analysis of the process model is carried out to define the best operating conditions for maximised production. Then, a nonlinear controller is developed to maintain the process under these efficient operating conditions (ratio substrate/biomass kept constant). It is implemented on the process by coupling it with the previous estimation algorithm. The whole system is tested in simulation under realistic. conditions. It can be shown that it clearly increases lipase production and ensures process reliability, as the process becomes insensitive to disturbances.
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