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A Discrete-Time Quasi-Theoretical Solution of the Modified Riccati Matrix Algebraic Equation
Current Issue
Volume 2, 2014
Issue 3 (June)
Pages: 23-28   |   Vol. 2, No. 3, June 2014   |   Follow on         
Paper in PDF Downloads: 30   Since Aug. 28, 2015 Views: 1661   Since Aug. 28, 2015
Authors
[1]
Tahar Latreche, Temporary Teacher at University of Khenchela, Department of Civil Engineering, Salem Lalmi, 40003 Khenchela, Algeria.
Abstract
In this paper, based on MacLaurin’s series and the Riccati equation, an algebraic quadratic equation will be developed and hence, its two roots, which represent the minimizing and maximizing optimal control matrices, would be deducted easier. Otherwise, a step-by-step algorithm to compute the control matrix for every step of time according to the preceding responses and a new signal pick will be explained. The proposed method presents a new discrete-time solution for the problem of optimal control in the linear or nonlinear cases of systems subjected to arbitrary signals. As an example, a system (structure) of three degrees of freedom, subjected to a strong earthquake is analyzed. The versus time displacements and the stiffness forces versus displacements of the system, for the two uncontrolled and controlled cases are graphically shown and clarify the great reduction of the controlled system results, in comparison with the uncontrolled system ones. The curves of variations of the elements of the optimal control matrix versus discrete-time are also presented.
Keywords
Optimal Control, Nonlinear Systems, Modified Riccati Equation, Quasi-Theoretical Solution, Discrete-Time Algorithm
Reference
[1]
H. M. Amman, H. Neudecker, “Numerical solutions of algebraic Riccati equation”, J. of Economic Dynamics and Control, no. 21, pp. 363 - 369, 1997.
[2]
B. D. O. Anderson, J. B. Moore, Linear optimal control. Prentice-Hall, 1971.
[3]
B. D. O. Anderson, J. B. Moore, Optimal Filtering. Prentice-Hall, 1979.
[4]
B. D. O. Anderson, J. B. Moore, Optimal control, linear quadratic methods. Prentice-Hall, 1989.
[5]
Y. Arfiadi, Optimal passive and active control mechanisms for seismically excited buildings. PhD Thesis, University of Wollongong, 2000.
[6]
W. F. Arnold, A. J. Laub, “Generalized eigenproblem algorithms and software for algebraic Riccati equations”, Proceedings of IEEE, vol. 72, no. 12, 1984.
[7]
A. Astolfi, L. Marconi, Analysis and design of nonlinear control systems. Springer Publishers, 2008.
[8]
P. Benner, J-R. Li and P. Thilo, “Numerical solution of large-scale Lyapunov equations, Riccati equations, and linear-quadratic optimal control problems”, Numerical Linear Algebra with Applications, no. 15, pp. 755 – 777, 2008.
[9]
D. L. Elliott, Bilinear control systems. Springer Publishers, 2009.
[10]
P. H. Geering, Optimal control with engineering applications. Springer Publishers, 2007.
[11]
M. S. Grewal, A. P. Andrews, Kalman Filtering: Theory and practice. John Wiley, 2008.
[12]
L. Grune, J. Pannek, Nonlinear model predictive control. Springer Publishers, 2011.
[13]
A. Isidori, Nonlinear control systems 2. Springer Publishers, 1999.
[14]
P. L. Kogut, G. R. Leugering, Optimal control problems for practical differential equations on reticulated domains. Springer Publishers, 2011.
[15]
T. Latreche, “A discrete-time algorithm for the resolution of the Nonlinear Riccati Matrix Differential Equation for the optimal control”, American J. of Civil Engineering, no. 2, pp. 12-17, 2014.
[16]
T. Latreche, “A numerical algorithm for the resolution of scalar and matrix algebraic equations using Runge-Kutta method”, Applied and Computational Mathematics, no. 3, pp. 68-74, 2014.
[17]
A. Locatelli, Optimal control: an introduction. Birkhäuser Virlag, 2004.
[18]
T. K. Nguyen, “Numerical solution of discrete-time algebraic Riccati equation”, Website: http://www.ictp.trieste.it/~pub-off
[19]
A. Preumont, Vibration control of active structures: An Introduction. Kluwer Academic Publishers, 2002.
[20]
I. L. Vér, L. L. Beranek, Noise and vibration control engineering. John Wiley, 2006.
[21]
S. L. William, Control system: Fundamentals. Taylor and Francis, 2011.
[22]
S. L. William, Control system: Applications. Taylor and Francis, 2011.
[23]
S. L. William, Control system: Advanced methods. Taylor and Francis, 2011.
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