Routh-approximant time-domain reduced-order models for single-input single-output systems

1978 ◽  
Vol 125 (10) ◽  
pp. 1059 ◽  
Author(s):  
A.S. Rao ◽  
S.S. Lamba ◽  
S. Vittal Rao
Keyword(s):  
Time Domain ◽  
Reduced Order Models ◽  
Single Input Single Output ◽  
Reduced Order ◽  
Single Output ◽  
Single Input

Selecting the Performance Weights for the μ and H∞ Synthesis Methods for SISO Regulating Systems

1996 ◽  
Vol 118 (1) ◽  
pp. 126-131 ◽  
Author(s):  
M. A. Franchek
Keyword(s):  
Time Domain ◽  
Synthesis Methods ◽  
Single Input Single Output ◽  
Hard Time ◽  
Single Output ◽  
Single Input ◽  
Performance Problem ◽  
Plant Uncertainty ◽  
Step Disturbance ◽  
Domain Constraints

Presented in this paper is a method in which the performance weights W1(s) and W2(s) of the robust performance problem and the H∞ optimization problem can be chosen to directly enforce hard time domain constraints. The class of systems addressed are single-input-single-output (SISO) regulating systems required to maintain the output within a prespecified time domain tolerance despite (i) plant uncertainty, (ii) an external step disturbance, and (iii) actuator output saturation. The performance weights are extracted from the feedback configuration and facilitate performance maximization.

Routh Approximation: An Approach of Model Order Reduction in SISO and MIMO Systems

2016 ◽  
Vol 2 (3) ◽  
pp. 486 ◽  
Author(s):  
D. K. Sambariya ◽  
Omveer Sharma
Keyword(s):  
Mimo Systems ◽  
Order Reduction ◽  
Reduced Order Model ◽  
Step Response ◽  
Order Model ◽  
Model Order ◽  
Single Input Single Output ◽  
Reduced Order ◽  
Single Output ◽  
Single Input

In this paper the Routh Approximation method is explored for getting the reduced order model of a higher order model. The reduced order modeling of a large system is necessary to ease the analysis of the system. The approach is examined and compared to single-input single-output (SISO) and multi-input multi-output (MIMO) systems. The response comparison is considered in terms of step response parameters and graphical comparisons. It is reported that the reduced order model using proposed Routh Approximation (RA) method is almost similar in behavior to that of with original systems.

An Identification Method With Direct Acquisition of Reduced Order Model From a Steplike Response

2004 ◽  
Vol 126 (4) ◽  
pp. 746-752 ◽  
Author(s):  
Manabu Kosaka ◽  
Hiroshi Uda ◽  
Hiroshi Shibata
Keyword(s):  
Order Model ◽  
Output Data ◽  
Mass System ◽  
Single Input Single Output ◽  
Reduced Order ◽  
Identification Method ◽  
Single Output ◽  
Rational Transfer ◽  
Line Identification ◽  
Single Input

In this paper, we propose a deterministic off-line identification method performed by using input and output data with a constant steady-state output response. The method can directly acquire any order of reduced model without knowing the real order of a plant, in such a way that the intermediate parameters are uniquely determined so as to be orthogonal with respect to 0-N-tuple integral values of output error and irrelevant to the unmodeled dynamics. From the intermediate parameters, the co-efficients of a rational transfer function are calculated. In consequence, the method can be executed for any linear single-input single-output plant without knowing or estimating its order at the beginning. The effectiveness of the method is illustrated by numerical simulations and also by applying it to a two-mass system.

On time-domain multiplier criteria for single-input single-output systems

2004 ◽  
Vol 77 (11) ◽  
pp. 985-991 ◽  
Author(s):  
Robert N. Shorten * ◽  
Paul F. Curran ◽  
Kai Wulff
Keyword(s):  
Time Domain ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input

Single-input-single-output H∞-control with time domain constraints

Automatica ◽  
1993 ◽  
Vol 29 (4) ◽  
pp. 969-983 ◽  
Author(s):  
Athanasios Sideris ◽  
Héctor Rotstein
Keyword(s):  
Time Domain ◽  
Single Input Single Output ◽  
Single Output ◽  
Single Input ◽  
Domain Constraints
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