Initial Excitation-Based Iterative Algorithm for Approximate Optimal Control of Completely Unknown LTI Systems

This paper proposes an approximate/adaptive optimal control (AOC) design for completely unknown continuous-time linear time invariant systems, without requiring the restrictive persistence of excitation (PE) condition for parameter convergence. The proposed AOC algorithm utilizes two layers of filte...

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Veröffentlicht in:	IEEE transactions on automatic control 2019-12, Vol.64 (12), p.5230-5237
Hauptverfasser:	Jha, Sumit Kumar, Roy, Sayan Basu, Bhasin, Shubhendu
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Adaptive control Algorithms Approximate/adaptive optimal control Computer simulation Convergence Data storage Excitation filter-based design Heuristic algorithms initial excitation Iterative algorithms Iterative methods Linear quadratic regulator Linear systems Microsoft Windows Optimal control Policies System dynamics Time invariant systems
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