Spelling suggestions: "subject:"iinear time invariant systems"" "subject:"1inear time invariant systems""
1 
Testing planarity in linear timeHayer, Matthias 12 1900 (has links)
No description available.

2 
Quantification of parallel vibration transmission paths in discretized systemsInoue, Akira, January 2007 (has links)
Thesis (Ph. D.)Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 195199).

3 
Suppression of the transient response in linear timeinvariant systems /Landschoot, Timothy P. January 1994 (has links)
Thesis (M.S.)Rochester Institute of Technology, 1994. / Typescript. Includes bibliographical references (leaf 123).

4 
Linear continuoustime system identification and state observer design by modal analysisElShafey, Mohamed Hassan January 1987 (has links)
A new approach to the identification problem of linear continuoustime timeinvariant systems from inputoutput measurements is presented. Both parametric and nonparametric system models are considered. The new approach is based on the use of continuoustime functions, the modal functions, defined in terms of the system output, the output derivatives and the state variables under the assumption that the order n of the observable system is known a priori. The modal functions are obtained by linear filtering operations of the system output, the output derivatives
and the state variables so that the modal functions are independent of the system instantaneous state. In this case, the modal functions are linear functions of the input exponential modes, and they contain none of the system exponential modes unlike the system general response which contains modes from both the system
and the input. The filters parameters, the modal parameters are estimated using linear regression techniques.
The modal functions and the modal parameters of the output and its derivatives
are used to identify parametric inputoutput and state models of the system. The coefficients of the system characteristic polynomial are obtained by solving n algebraic equations formed from the estimates of the modal parameters. Estimates
of the parameters associated with the system zeros are obtained by solving another set of linear algebraic equation. The system frequency response and step response are estimated using the output modal function. The impulse response is obtained by filtering the estimated step response using the output first derivative modal parameters.
A new method is presented to obtain the system poles as the eigenvalues of a data matrix formed from the system free response. The coefficients of the system characteristic polynomial are obtained from the data matrix through a simple recursive
equation. This method has some important advantages over the well known Prony's method.
The state modal functions are used to obtain a minimumtime observer that gives the continuoustime system state as a direct function of inputoutput samples in n sampling intervals. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate

5 
Necessary and Sufficient Conditions for StateSpace Network RealizationParé, Philip E., Jr. 24 June 2014 (has links)
This thesis presents the formulation and solution of a new problem in systems and control theory, called the Network Realization Problem. Its relationship to other problems, such as State Realization and Structural Identifiability, is shown. The motivation for this work is the desire to completely quantify the conditions for transitioning between different mathematical representations of linear timeinvariant systems. The solution to this problem is useful for theorists because it lays a foundation for quantifying the information cost of identifying a system's complete network structure from the transfer function.

6 
Detection and diagnosis of parameters change in linear system using timefrequency transformationPark, Daehyun 16 September 1991 (has links)
A systematic optimization of the Cohen class timefrequency
transformation for detecting the parameters change is developed.
The local moments approach to change detection is proposed and a
general formula for the local moments is derived. The optimal
kernel functions of the timefrequency transformation are determined
based on the combined criteria of maximum sensitivity with respect to
parameters change and minimum distortion of physical interpretation
of the local moments. The sensitivity of the local moment with
respect to a certain kind of inputs is analyzed and a most "convenient"
and a "worst" input are identified. The results are presented in the
form of the case studies for detecting parameters change in simple
linear systems. / Graduation date: 1992

7 
Model reduction and simulation of complex dynamic systems /Gupta, Amit. January 1990 (has links)
Thesis (M.S.)Rochester Institute of Technology, 1990. / Spine title: Model reduction of complex dynamic systems. Includes bibliographical references.

8 
Steadystate performance of discrete linear timeinvariant systems /Haddleton, Steven W. January 1994 (has links)
Thesis (M.S.)Rochester Institute of Technology, 1994. / Typescript. Includes bibliographical references (leaves 107108).

9 
An algebraic approach to analysis and control of timescalesJanuary 1983 (has links)
XiCheng Lou ... [et al.]. / Bibliography: leaf 14. / "October, 1983." / Air Force Office of Scientific Research Contract AFOSR820258 Natural Sciences and Engineering Research Council of Canada Grant A1240

10 
Thermodynamics of electrical noise : a frequencydomain inequality for linear networksJanuary 1982 (has links)
by John L. Wyatt, Jr., William M. Siebert, HanNgee Tan. / "October, 1982." / Bibliography: p. 1617. / National Science Foundation Grant No. ECS 800 6878

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