作者：
Didinsky, GarryBaşar, TamerDecision and Control Laboratory
Coordinated Science Laboratory and the Department of Electrical and Computer Engineering University of Illinois Urbana Illinois 61801 1101 W. Springfield Avenue United States
In this paper, we obtain the solution to the discrete‐time, linear‐quadratic, finite‐horizon disturbance rejection problem, with hard bounds on the disturbance and with a known or an unknown non‐zero initial state...
作者：
Theocharis, J.Petridis, V.Dr.-Ing. John Theocharis (1956) graduated as an Electrical Engineer from Aristotelian University of Thessaloniki.Greece
in 1980. From 1980 to 1985 he has been with the scientific staff of the Department of Electrical Engineering at the Aristotelian University where he received the Ph.D. degree in 1985. Since 1986 he is working as a lecturer and in 1990 he became assistant professor at the Department of Electronics and Computer Engineering in the m e university. His research activities include control power electronics and electrical motor drives. Recently he is working with the Neural Network Systems with applications to field oriented control problems. Aristotelian University of Thessaloniki School of Engineering Faculty of Electrical Engineering Dept. of Electronics & Computer Engineering P.O. Box 438 GR-Thessalonikil/Greece.T+3131/219784Fax + 3031/274868) Prof. Dr.-Ing. Vasilis Petridis (1946) graduated from National Technical University of Athens
Greece in 1969.He obtained the M.Sc. and the Ph.D. in electronics and systems from the University of London in 1970 and 1974. respectively. H i s interests include applied automatic control neural networks drives dynamic systems robotics etc. He is currently professor in the Department of Electronics and Computer Engineering of the University of Thessaloniki. (Aristotelian University of Thessaloniki. School of EngineeringFaculty of Electrical Engineering Dept. of Electronics & Computer Engineering P.O. Box 438. GR-ThessaloniW Greece T+3031/219784.Fax+3031/274868)
The procedure of harmonic insertion is generalized in this paper. Analytical expressions of the voltage spectra are derived. The insertion of the 3rd harmonic to the modulating signal, which is of particular interest,...
The fault recognition is a constructional problem involved in the plane inter-pretation of seismic *** paper presents a fault recognition expert system(FRES)built on blackboard model and introduces its technical chara...
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The fault recognition is a constructional problem involved in the plane inter-pretation of seismic *** paper presents a fault recognition expert system(FRES)built on blackboard model and introduces its technical characteristics such as rea-soning about control,focusing by step,integration of human inteUigcnce and machine in-telligence.
A typical optical fibre system for image transmission consists of a light-source illuminating device, a pick-up camera system and a signal processing and output system. Since the pick-up cameras on the market vary gre...
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The authors deals with navigation schemes for underwater robots using strapdown inertial navigation systems. Compared to the current hydroacoustic position reference systems used for underwater robots, the strapdown i...
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The authors deals with navigation schemes for underwater robots using strapdown inertial navigation systems. Compared to the current hydroacoustic position reference systems used for underwater robots, the strapdown inertial systems have longer operation distance, possess better autonomous ability, provide more complete navigation, and offer higher potential accuracy. Two navigation schemes are proposed, one for short-range operations and the other for long-range operations. Criteria for the choice of one of the two are also given. Their application conditions, software requirements, and their respective navigation errors are analyzed.< >
A simple approach is presented for simultaneous on-line identification of the time delay and the system parameters of continuous-time systems based on discrete-time measurements. The linear integral filter is used bot...
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A simple approach is presented for simultaneous on-line identification of the time delay and the system parameters of continuous-time systems based on discrete-time measurements. The linear integral filter is used both to construct the derivatives of input-output signals and to avoid estimating the unknown initial conditions. The time delay and the system parameters are directly estimated by an on-line algorithm which is derived using Newton’s method. Severed identification methods such as the bias-compensating method and the instrumental variable methods are applied for eliminating the asymptotic bias of the parameter estimates in noisy situations. The present algorithm is applicable to the case when the time delay is not an integral multiple of the sampling interval, and can also be used for model reduction.
This paper is concerned with the application of U-parameter design method to a problem of "trajectory shaping." Three linearized models are assumed for an unpowered vehicle with modelling errors introduced b...
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This paper is concerned with the application of U-parameter design method to a problem of "trajectory shaping." Three linearized models are assumed for an unpowered vehicle with modelling errors introduced by variations in flight path angle. Corresponding to the three linearized models, three controllers, which are used in different flight phase, are designed by U-parameter theory. The three controllers guarantee that the vehicle motion, during its approach to target point, is robustly stable and is optimal at the nominal flight path in the sense that the step error response of resultant feedback control system is minimal in the mean square sense. Digital simulation results show that U-parameter design method can be successfully used to the problem
An on-line scheme to failure diagnosis is proposed for dynamic systems under adaptive control, which is designed based on a direct approach to self-tuning regulator. Failure modes occurred in the system are assumed to...
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An on-line scheme to failure diagnosis is proposed for dynamic systems under adaptive control, which is designed based on a direct approach to self-tuning regulator. Failure modes occurred in the system are assumed to be described by unexpected changes in physical parameters of the system. The parameter changes in the controlled system can effectively be detected by using Kullback Discrimination Information (KDI) as an index for model discrimination. In order to decide whether the detected system parameter change is caused by a failure or not, a fuzzy inference approach to failure decision is considered. Some appropriate membership functions which describe fuzzy events of failures are constructed to perform the fuzzy inference. In this way, useful knowledge about failure modes which is available from, e.g., experts can be introduced into the model- based diagnosis technique. Simulation studies of a second-order damped oscillator have been carried out to demonstrate the effectiveness of the method.
Six terrain stochastic linearization techniques are discussed. Among them are three new ones which were developed for TAN (terrain-aided navigation). These three are the improved full-plane fit (IFPF), the mean tangen...
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Six terrain stochastic linearization techniques are discussed. Among them are three new ones which were developed for TAN (terrain-aided navigation). These three are the improved full-plane fit (IFPF), the mean tangent-line (MTL), and the two-subgroup fit (TSF) techniques. Performance evaluations for each technique are made and compared. The evaluation for each technique makes use of six measures. Each technique has its merits and demerits. On the whole, the TSF technique appears to be the best.< >
A general state-space model of a two-dimensional linear multivariable discrete system was introduced by Kurek [1]. This model includes the 2-D models of Attasi [2], Roesser [3], and Fornasini and Marchesini [4]. In th...
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A general state-space model of a two-dimensional linear multivariable discrete system was introduced by Kurek [1]. This model includes the 2-D models of Attasi [2], Roesser [3], and Fornasini and Marchesini [4]. In this paper, a novel approach for computing the transfer function, the characteristic polynomial, and the adjoint matrix of the Kurek model is given. The procedure involves representation of the system characteristic equation in a matrix polynomial.
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