In general, characteristics of classical control theory and properties of real-time scheduling algorithms may cause unexpected control system responses in the implementation of real-time computer-controlled systems. R...
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In general, characteristics of classical control theory and properties of real-time scheduling algorithms may cause unexpected control system responses in the implementation of real-time computer-controlled systems. R...
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In general, characteristics of classical control theory and properties of real-time scheduling algorithms may cause unexpected control system responses in the implementation of real-time computer-controlled systems. Revising real-time scheduling properties, we analyse which are the main timing problems that current scheduling algorithms may introduce in the execution of control loops. Next, we categorise those timing problems, that is, jitters on task-instances executions, in a control context. Afterwards, we show, by simulations, different types of control system performance degradation that these jitters may cause. Finally, we propose possible solutions that solves this degradation, based on irregular sampling discrete-time system models with varying time delays.
Distributed control systems involve three main disciplines: control systems, real time systems, and communication systems. control systems, due their stringent timing constraints, demand real time computing technology...
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Distributed control systems involve three main disciplines: control systems, real time systems, and communication systems. control systems, due their stringent timing constraints, demand real time computing technology. Distributed control systems need communication systems when distributing sensors, actuators, the control procedures and data messaging. In general, demands of distributed control systems and properties of real time scheduling algorithms differ, for example, for activation patterns of tasks. The aim of this paper is to provide a set of requirements to overcome current limitations of real time scheduling methods to their increase applicability for distributed control systems
In this paper we study the tracking problem for the class of non-holonomic systems in chained form. In particular, with as outputs the first and last state component of the chained form, we suggest a solution for the ...
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An approach to the solution of the adaptive control for nonlinear systems with unknown parameters is presented by using the theory of nonlinear H∞ disturbance attenuation control. The two-level control law is present...
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ISBN:
(纸本)9783952426906
An approach to the solution of the adaptive control for nonlinear systems with unknown parameters is presented by using the theory of nonlinear H∞ disturbance attenuation control. The two-level control law is presented. It is shown that the adaptive control law is related to the existence of the solution of a new form of Hamilton-Jacobi-Isaacs inequlity. The stability of the closed loop system can be guranteed when the update rate of the unknown parameter is equal to the requested update law. The asymptotical stability of the closed loop system can be guranteed when the estimators of the uncertain parameters convergence to the true value.
作者：
Chiodo, E.Menniti, D.Testa, A.Picardi, C.Elio Chiodo (1959) received the degree in Electronics Engineering in 1985
and the Ph.D. degree in Computational Statistics both from the University of Naplefltaly. He is a Researcher at the Department of Electrical Engineering of the University of Naples and a member of the Italian Statistical Society. His areas of interest include probabilistic methods applied to electric power systems analysis. (University of Naples Fedrrico 11. Electrical Engineering Dept.via Claudio 21 1-80125 Naplefltaly T +3981/7683226 Fax+3981/2396897) Daniele Menniti (1958) received the degree in Electrical Engineering from the University of Calabria. Cosenzataly and the Ph.D. degree in Electrical Engineering from the University of NapleslItaly
in 1984 and 1989 respectively. He is a researcher at the Electronic. Computer and Systems Science Department of the University of Calabria. Italy. Hiscurrent research interests concern electric power system analysis real-time control and automation. (University of Calabria Electronic Computer and Systems Science Dep. Arcavacataji Rende (CS). 1-87036 CosenzdItaly T +39984/494707. Fax +39984/4947 13) Alfredo Testa (1950) received the degree in Electrical Engineering from the University of Naples/Italy
in 1975. He is an Associate Professor in Electrical Power Systems at the Department of Electrical Engineering of the University of Naples. He is engaged in researches on electrical power systems reliability and harmonic analysis. (University of Naples Federico 11. Electrical Engineering Dep. via Claudio '2 1 1-80 I25 NapleslItaly T + 39 8 I/7 68 3'2 11. Fax+3981/2396897) Ciro Picardi (1949) received the degree in Electronics Engineering from the University of Naples/Italy
in 1975. He is currently Associate Professor in Process Control at the Department of Electronic Computer and System Science of the University of Calabria. Italy. His current research interests are in the area of electrical drives robotics neural networks and fuzzy control. (University of Calabria Electronic. Compu
An artificial‐neural‐network (ANN) application for steady‐state security evaluation of electrical power systems is presented. Such application is based upon a combined use of a multilayer back‐propagation neural n...
Due to the importance of the flight time elapsed of a guided missile before impact, the minimum time flight policy is investigated. Using the maximum principle, the results of bang-bang control policy are given but wi...
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Due to the importance of the flight time elapsed of a guided missile before impact, the minimum time flight policy is investigated. Using the maximum principle, the results of bang-bang control policy are given but with highly complicated costate equations. Some remarks are made about the behaviour of the optimal control policy. Three different numerical algorithms are described and applied to obtain a bang-bang control policy using real data for the missile. The first and second algorithms are based on the remarks obtained from the analytical results. The gradient technique is also used in obtaining the third algorithm. The effects of both the amplitude of the control and the allowable number of switches in the control on the miss distance are obtained. The relation between the target velocity and the final time is also investigated.
The problem of guided missile flight with minimum normal acceleration is investigated. Obtaining an analytical result for the problem in its general form is difficult. A constant normal acceleration policy is obtained...
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The problem of guided missile flight with minimum normal acceleration is investigated. Obtaining an analytical result for the problem in its general form is difficult. A constant normal acceleration policy is obtained which requires keeping the normal acceleration constant all the flight time and satisfying all the constraints. A computer program is prepared and executed using real data to form some charts for different velocities and different missile initial conditions. Comparing the results using the above optimum policy, and the results solving the problem by the gradient technique shows that it gives a less normal acceleration.
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