3 edition of More on exact state reconstruction in deterministic digital control systems found in the catalog.
More on exact state reconstruction in deterministic digital control systems
Michael E. Polites
by National Aeronautics and Space Administration, Scientific and Technical Information Branch, For sale by National Technical Information Service in [Washington, D.C.], Springfield, Va
Written in English
|Statement||Michael E. Polites.|
|Series||NASA technical paper -- 2847.|
|Contributions||United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch.|
|The Physical Object|
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More on exact state reconstruction in deterministic digital control systems. Washington, D.C.: National Aeronautics and Space Administration, Scientific and Technical Information Division, (OCoLC) More on exact state reconstruction in deterministic digital control systems.
Washington, D.C.: National Aeronautics and Space Administration, Scientific and. Presented is a special form of the Ideal State Reconstructor for deterministic digital control systems which is simpler to implement than the most general form.
The Ideal State Reconstructor is so named because, if the plant parameters are known exactly, its output will exactly equal, not just approximate, the true state of the plant and accomplish this without any knowledge of the plant's initial : Michael E.
Polites. More on exact state reconstruction in deterministic digital control systems / By Michael E. Polites and United States. National Aeronautics and Space Administration. Exact state reconstruction in deterministic digital control systems.
By Michael E. Polites. Abstract. A state reconstructor for deterministic digital systems is presented which is ideal in the following sense: if the plant parameters are known exactly, the output of the state reconstructor will exactly equal the true state of the plant, not Author: Michael E.
Polites. More on Exact State Reconstruction in Deterministic Digital Control Systems. NASA TP, George C. Marshall Space Flight Center, Huntsville, Alabama, September Hagiwara, T. and Araki, M.: Design of a Stable State Feedback Controller Based on the Multirate. The ideal state reconstructor is so named because: if the plant parameters are known exactly, its output will exactly equal the true state of the plant, not just approximate it.
Furthermore, it adds no additional states or eigenvalues to the : Michael E. Polites. Digital control engineering: analysis and design / M. Sami Fadali, Antonio Visioli.
Second edition. pages cm Includes bibliographical references and index. ISBN (hardback) 1. Digital control systems. Visioli, Antonio. Title. TJM53F33 dc23 British Library Cataloguing-in-Publication Data. • A digital computer may serve as a compensator or controller in a feedback control system.
Since the computer receives data only at specific intervals, it is necessary to develop a method for describing and analyzing the performance of computer control systems.
• The computer system uses data sampled at prescribed intervals. Further developments in exact state reconstruction in deterministic digital control systems: Authors: Polites, Michael E. Affiliation: AA.) A more general version of the ideal state reconstructor for deterministic digital control systems previously developed is presented.
In the original version, measurements prefiltered by a multi-input. EXACT STATE RECONSTRUCTION IN DETERMINISTIC DIGITAL CONTROL SYSTEMS 1. INTRODUCTION Books on modern digital control systems usually address the problem of controlling a continuous- time plant driven by a zero-order-hold with a sampled output as shown in Figure 1 [e.g., Ref.
1, p. direct digital design method. CONTROL-LAW DESIGN In Chapter 2, we saw that the state-space description of a continuous system is given by (), x = Fx-t Gu, () and (), y=Hx.
() We assume the control is applied from the computer by a ZOR as shown in Fig. Therefore, () and () have an exact discrete representation asFile Size: 5MB. Get this from a library. Exact state reconstruction in deterministic digital control systems.
[Michael E Polites; United States. National Aeronautics and Space Administration. Scientific and Technical Information Office.]. Introduction. The study of robustness of complex systems began in the eighties based on a deterministic description of the uncertainty acting on the system to be controlled; see the books Barmish,Zhou et al., for historical perspectives.
In this Cited by: This well-known book is an introduction to the field of digital, sampled-data control. It treats the field in depth and can be used for courses and for self study. The second edition has been completely revised and expanded with new results.
Abstract. Microprocessors are increasingly influencing both the theory and the practice of digital control. This paper briefly reviews the important current developments in microprocessor and related technologies, describes some typical microproces based control systems and their applications, and attempts to assess some possible trends in this important area.
Get this from a library. Further developments in exact state reconstruction in deterministic digital control systems. [Michael E Polites; United States.
National Aeronautics and Space Administration. Scientific and Technical Information Division.]. Analysis of Digital Control Systems L.1 n INTRODUCTION Most feedback control in the chemical process industries is currently implemented using digital computers.
While most key features of control engineering are the same for continuous and digital control, some unique features of digital control should be Size: 4MB.
Sami Fadali, Antonio Visioli, in Digital Control Engineering (Second Edition), To design a digital control system, we seek a z-domain transfer function or difference equation model of the controller that meets given design controller model can be obtained from the model of an analog controller that meets the same design specifications.
Introduction to state-space models. Slides: Signals and systems. Slides. 6: Developing state-space models based on transfer functions: 7: State-space models: basic properties: 8: System zeros and transfer function matrices: 9: State-space model features: Controllability: Full-state feedback control: Pole placement approach.
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Understanding Digital Control System Analysis & Design 4th Edition homework has never been easier than with Chegg Study.Map Invariance and the State Reconstruction Problem for Nonlinear Discrete-time Systems Article in European Journal of Control 15(2)– January with 7 Reads How we measure 'reads'.In control theory, a state observer is a system that provides an estimate of the internal state of a given real system, from measurements of the input and output of the real system.
It is typically computer-implemented, and provides the basis of many practical applications. Knowing the system state is necessary to solve many control theory problems; for example, stabilizing a system using.