Memory-efficient filter based policy iteration zero sum two player differential game for adaptive LQR

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DC Field	Value	Language
dc.contributor.author	Singh, Mandeep
dc.contributor.author	Roy, Sayan Basu (Advisor)
dc.date.accessioned	2021-05-21T15:55:06Z
dc.date.available	2021-05-21T15:55:06Z
dc.date.issued	2020-07
dc.identifier.uri	http://repository.iiitd.edu.in/xmlui/handle/123456789/903
dc.description.abstract	A memory efficient filter based iterative algorithm is proposed for a two-player zero sum linear differential game problem arising in the control of process systems affected by disturbances.The objective in such a scenario is to obtain an memory efficient filter based optimal control policy that minimizes the specified performance index or cost function in presence of worst case disturbance.The algorithm proposed in this paper is partially model-free and solves the two-player zero sum linear differential game problem without knowledge of state and control input matrices	en_US
dc.language.iso	en_US	en_US
dc.publisher	IIIT-Delhi	en_US
dc.subject	Two-player zero sum differential game,Memory Efficient Filter Based Adaptive dynamic programming, Approximate Dynamic Programming	en_US
dc.title	Memory-efficient filter based policy iteration zero sum two player differential game for adaptive LQR	en_US
dc.type	Other	en_US
Appears in Collections:	Year-2020

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