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\title{\textbf{Optimal Control of Nonlinear Time-Delay Systems by Equal Delay in State and Control Vector's}}
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\begin{abstract}
A new feedforward and feedback optimal control law for a class of nonlinear time-delay systems with equal delay in state and control vector's is presented in this paper. By using a successive approximation approach (SAA), the original nonlinear optimal control problem is transformed into a sequence of nonhomogeneous linear two-point boundary value (TPBV) problems. The optimal control law obtained consists of analytical linear feedforward and feedback terms and a nonlinear compensation term which is the limit of the solution sequence for the adjoint vector differential equations. By using the finite-step iteration of nonlinear compensation sequence, we can obtain a feedforward and feedback suboptimal control law. . Simulation examples show the effectiveness of the approach. 

\end{abstract}
\textbf{Keywords:} Nonlinear time-delay systems, successive approximation approach, optimal control, feedforward control.
\section{Introduction}
The control of systems with time delay has been of considerable concern. Delays occur frequently in biological, chemical, transportation, electronic, communication, manufacturing and power systems [5]. Time 
delay and multi-delay control systems are therefore very important classes of systems whose control and optimization have been of interest to many investigators\cite{bib1}-\cite{bib7}

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\begin{thebibliography}{9}

\bibitem{bib1}
Chen, C. K. and Yang, C. Y., Analysis and parameter identification of time-delay systems via polynomial series, International Journal of Control,vol.46 , pp. 111-127,1987.
\bibitem{bib2}
Chen, W. L. and Shih, Y. P., Shift Walsh matrix and delay differential equations, IEEE Transactions on Automatic Control ,vol.23,pp. 265-280,1978.
\bibitem{bib3}
Horng, I. R. and Chou, J. H., Analysis, parameter estimation and optimal control of time-delay systems via Chebyshev series,  International Journal of Control ,vol. 441,pp. 1221-1234,1985 
\bibitem{bib4}
Jamshidi, M. and Wang, C. M., A computational algorithm for large-scale nonlinear time-delays systems, IEEE Transactions on Systems, Man, and Cybernetics,Vol. 14,pp. 2-9,1984.
\bibitem{bib5}
Kung, F. C. and Lee, H., Solution and parameter estimation of linear time-invariant delay systems using Laguerre polynomial expansion, Journal on Dynamic Systems, Measurement, and Control,Vol.105,pp. 297-301,1983. 
\bibitem{bib6}
 Farahi,M. H., Dadkhah, M., Solving Nonlinear Time Delay Control Systems by Fourier series, Int. Journal of Engineering Research and Applications,Vol. 4 ,pp. 217-226, 2014. 
 \bibitem{bib7}
 ZHAO Yan-dong.GE Su-nan.,Optimal Disturbance Rejection for the Status Delay Systems with Time Delay in Control Action,Intelligent Control and Automation (WCICA), 2010 8th World Congress on,pp. 3839 - 3843,2010. 
\bibitem{bib8}
TANG,G.Y.,and ZHAO,Y. D.,Optimal Control of Nonlinear Time-Delay Systems with Persistent Disturbances,Journal of Optimization Theory and Applications, Vol. 132, pp. 307–320, 2007
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\bibitem{bib9} 
TANG,G.Y.,Suboptimal Conrol for Nonlinear Systems:A Successive Approximation Approach, Systems and Control Letters,Vol.8,pp. 429-434,2005.
\end{LTRbibitems}
\bibitem{bib10}
RAY,W. H.,and SOLIMAN,M. A.,The optimal control of processes containing pure time delays - I Necessary conditions for an optimum,Chemical Engineering Science, Vol. 25, pp. 1911-1925,1970
\end{thebibliography}
\end{document}


