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In relation to this article, we declare that there is no conflict of interest.
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Received September 26, 2014
Accepted December 22, 2014
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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A novel and computationally efficient algorithm for stability analysis of multi input-multi output process control systems

1Center for Separation Processes Modeling and Nano-Computations, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155-4563, Iran 2Advanced Process Control Research Laboratory, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155-4563, Iran 3Multiphase Systems Research Laboratory, School of Chemical Engineering, College of Engineering, University of Tehran, Tehran 11155-4563, Iran 4The George Adomian Center for Applied Mathematics, 316 South Maple Street, Hartford, Michigan 49057-1225, U.S.A., USA 5Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW), University of Stuttgart, Stuttgart 70174, Germany
hoab@ut.ac.ir
Korean Journal of Chemical Engineering, September 2015, 32(9), 1733-1743(11), 10.1007/s11814-014-0385-8
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Abstract

An efficient method based on the Faddeev-Leverrier algorithm combined with the Adomian decomposition method is devised to facilitate the stability analysis of multi-input multi-output control systems. In contrast to prior eigenvalue algorithms, our method affords all eigenvalues of the state matrix, either real or complex. Specifically, the calculation of the complex eigenvalues is made possible through special canonical forms, mainly involving square root operators, of the characteristic equation of the state matrix. Moreover, the proposed method does not require an initial guess, which is often a matter of concern since an inappropriate guess can cause failure in such available schemes. For the sake of illustration, a number of numerical examples, including chemical reaction processes, are also provided that demonstrate the efficiency of our new technique.

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