Order Reduction Of Uncertain Systems Using The Advantages Of Two Varied Approximations

2015 ◽  
Author(s):  
A.K. Choudhary ◽  
S.K. Nagar
Keyword(s):  
Uncertain Systems ◽  
Order Reduction

scholarly journals Uncertain Systems Order Reduction by Modal Analysis Approach

2016 ◽  
Vol 9 (38) ◽  
Author(s):  
Bogapurapu Gayatri ◽  
Kalyana Kiran Kumar ◽  
Akella Venkata Santosh Lakshmi
Keyword(s):  
Modal Analysis ◽  
Uncertain Systems ◽  
Order Reduction ◽  
Analysis Approach

scholarly journals Higher Order Reduction of Uncertain Systems: Affine Arithmeti

2021 ◽  
Vol 08 (1&2) ◽  
pp. 1-4
Author(s):  
H Mallesam Dora ◽  
Keyword(s):  
Uncertain Systems ◽  
Order Reduction ◽  
Reduced Order Model ◽  
Order System ◽  
Effective Algorithm ◽  
Order Model ◽  
Reduced Order ◽  
Numerical Examples ◽  
Rigorous Study ◽  
Lower Order System

In this paper the Modified Routh Approximation (MRA) and Affine Arithmetic (AA) methods are investigates for obtaining the reduced order model (ROM) of SISO, discrete & MIMO uncertain systems into lower order system. Rigorous study and analysis of physical system direct to the outcome of systems with uncertainty instead of certain coefficients. Thus, systems having uncertain but bounded parameters known as uncertain systems are under consideration in this paper. An effective algorithm to determine the reduced order model is proposed here. This proposed methodology is verified using numerical examples available from the literature.

scholarly journals Uncertain Systems Order Reduction by Aggregation Method

2017 ◽  
Vol 7 (1) ◽  
pp. 244
Author(s):  
Bogapurapu Gayatri ◽  
Kalyana Kiran Kumar ◽  
Akella Venkata Santosh Lakshmi ◽  
Vyakaranam Sai Karteek
Keyword(s):  
Uncertain Systems ◽  
Order Reduction ◽  
Higher Order ◽  
Order System ◽  
Aggregation Method ◽  
Control Engineering ◽  
Numerical Examples ◽  
State Space Analysis ◽  
Order Form ◽  
Reduction Techniques

<span>In the field of control engineering, approximating the higher-order system with its reduced model copes with more <span class="blackclass1">intricate</span> problems. These complex problems are addressed due to the usage of computing technologies and advanced algorithms. Reduction techniques enable the system from higher-order to lower-order form retaining the properties of former even after reduction. This document renders a method for demotion of uncertain systems based on State Space Analysis. Numerical examples are illustrated to show the accuracy of the proposed method.</span>

Circle and Popov Criterion for Output Feedback Stabilization of Uncertain Systems

2006 ◽  
Vol 11 (2) ◽  
pp. 137-148 ◽  
Author(s):  
A. Benabdallah ◽  
M. A. Hammami
Keyword(s):  
Dynamical Systems ◽  
Output Feedback ◽  
Uncertain Systems ◽  
Feedback Stabilization ◽  
Stabilizing Controller ◽  
Nominal System ◽  
Output Feedback Stabilization ◽  
Uncertain Dynamical Systems

In this paper, we address the problem of output feedback stabilization for a class of uncertain dynamical systems. An asymptotically stabilizing controller is proposed under the assumption that the nominal system is absolutely stable.

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