This paper addresses networking and traffic control problems in network systems along with the potential for introducing soft-computing applications at supervisory control level. The incentive Stackelberg strategy con...
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This paper presents the design and simulation results of an autopilot for the US Army's APKWS missile. The concept is to add on a guidance section to the existing Hydra 70 unguided rocket airframe. The guidance se...
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This paper presents the design and simulation results of an autopilot for the US Army's APKWS missile. The concept is to add on a guidance section to the existing Hydra 70 unguided rocket airframe. The guidance section is to be mounted onto existing hardware using a deroll bearing which permits the motor to roll freely while the guidance section is roll stabilized. The Hydra 70 has unusual dynamic and aerodynamic characteristics, which include a very large intentional induced roll moment which is heavily influenced by down wash effects on the rear spin inducing fins from large aerodynamic angles and the displacement of the control canards. Moreover, angle of attack tracking with control canards makes the problem nonminimum phase. The autopilot consists of a nonlinear inverse subsection which places the missile on the nominal commanded trajectory, and a linear time varying trajectory regulating controller. The regulating controller is formulated using a new parallel differential eigenvalue stability concept. An advantage of the proposed design method is that the controller gains are computed symbolically such that a full flight envelope autopilot can be designed without resorting to pointwise gain scheduling. Simulation results are shown to demonstrate the effectiveness of the trajectory linearization control technique.
In this work, the authors present the results of transient stability studies, which are accomplished when assessing the effects of the connection of wind farms in a power system. For the execution of those studies, a ...
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In this work, the authors present the results of transient stability studies, which are accomplished when assessing the effects of the connection of wind farms in a power system. For the execution of those studies, a software environment for stability simulation was developed in MATLAB/sup TM/ with a friendly user interface, that allows the execution of different cases studies, e.g. sudden disconnection of the wind farm or part of the wind farm, operation under turbulent wind, operation under wind gust, short circuits in the network, loss of conventional generation and reduction of loads. Results of simulation studies are shown to illustrate the use of the software developed and to evaluate the effects on the stability of a test power system, of the integration of a wind farm into the electric grid.
In this paper, we discuss a stabilizing receding horizon scheme for unconstrained nonlinear systems. Using Dini's theorem on the uniform convergence of functions, we show that there always exist a finite horizon l...
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In this paper, we discuss a stabilizing receding horizon scheme for unconstrained nonlinear systems. Using Dini's theorem on the uniform convergence of functions, we show that there always exist a finite horizon length for which the corresponding receding horizon scheme is stabilizing without using terminal costs and/or constraints.
We consider the direction-of-arrival (DOA) problem for a wavefront whose amplitude and phase vary randomly along the array aperture. This phenomenon can for instance originate from propagation through an inhomogeneous...
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We consider the direction-of-arrival (DOA) problem for a wavefront whose amplitude and phase vary randomly along the array aperture. This phenomenon can for instance originate from propagation through an inhomogeneous medium. A simple and accurate DOA estimator is derived in the case of an uniform linear array of sensors. The estimator is based upon a reduced statistic obtained from the sub-diagonals of the covariance matrix of the array output. It only entails computing the Fourier transform of an (m-1)-length sequence where m is the number of array sensors. A theoretical expression for the asymptotic variance of the estimator is derived. Numerical simulations validate the theoretical results and show that the estimator has an accuracy very close to the Cramer-Rao bound.
This paper addresses the problem of robust /spl Hscr//sub /spl infin// filtering for linear discrete-time systems subject to parameter uncertainties in the system state-space model and with multiple time delays in the...
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This paper addresses the problem of robust /spl Hscr//sub /spl infin// filtering for linear discrete-time systems subject to parameter uncertainties in the system state-space model and with multiple time delays in the state variables. The uncertain parameters are supposed to belong to a given convex bounded polyhedral domain. A methodology is developed to design a stable linear filter that assures asymptotic stability and a prescribed /spl Hscr//sub /spl infin// performance for the filtering error, irrespective of the uncertainty and the time delays. The proposed design is given in terms of linear matrix inequalities, which has the advantage in that it can be implemented numerically very efficiently.
We propose a method for estimating the amplitude spectrum of a 2D-signal from frequency domain (or phase history) data that contain gaps. This is a key problem in synthetic aperture radar (SAR) imaging with angular di...
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We propose a method for estimating the amplitude spectrum of a 2D-signal from frequency domain (or phase history) data that contain gaps. This is a key problem in synthetic aperture radar (SAR) imaging with angular diversity. Our method is an extension of the well-known amplitude and phase estimation (APES) algorithm to the incomplete data case, and is called gapped-data APES (GAPES). It has recently been shown that APES minimizes a certain least-squares (LS) criterion, and our extension of APES is based on minimizing this criterion with respect to the missing data as well. We provide an example of the algorithm applied to SAR imaging from phase history data with angular diversity; and we also show the advantages of 2D data processing over 1D (row or column-wise) data processing that are enabled by our new algorithm.
A causal iterative learning control algorithm based on optimal feedback and feedforward control is derived to provide perfect tracking of selected output values at specified times. Exponential convergence of the algor...
A causal iterative learning control algorithm based on optimal feedback and feedforward control is derived to provide perfect tracking of selected output values at specified times. Exponential convergence of the algorithm is proved and a realization based on Riccati feedback is described. The properties of the algorithm are illustrated by example.
This paper presents a software engineering process that includes family-based aspects for aero-engine control software. The process uses a "family capability" derived from family analysis of the embedding sy...
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We consider the iterative learning control problem from a 2D systems/adaptive control viewpoint. In particular, it is shown how some fundamental results from nonlinear adaptive control can be successfully applied in t...
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ISBN:
(纸本)0780366859
We consider the iterative learning control problem from a 2D systems/adaptive control viewpoint. In particular, it is shown how some fundamental results from nonlinear adaptive control can be successfully applied in the iterative learning control domain under very weak assumptions. Some areas for further research are also briefly discussed.
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