Abstract
In this paper, a new iterative ADP algorithm is proposed to deal with the optimal tracking control problem for a class of time-delay systems with actuator saturation. By the problem transformation, the optimal regulation problem is obtained. For overcoming the difficulty from actuator saturation, the nonquadratic performance functional is presented for the optimal regulation problem. A novel ADP algorithm is established to get the optimal solution of the HJB equation of the nonlinear time-delay systems. A simulation example is given to illustrate the performance of the proposed method.
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Song, R., Xiao, W., Wei, Q. (2013). Optimal Tracking Control for a Class of Nonlinear Time-Delay Systems with Actuator Saturation. In: Liu, D., Alippi, C., Zhao, D., Hussain, A. (eds) Advances in Brain Inspired Cognitive Systems. BICS 2013. Lecture Notes in Computer Science(), vol 7888. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38786-9_24
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DOI: https://doi.org/10.1007/978-3-642-38786-9_24
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