MODEL PREDICTIVE CONTROL USING STATE SPACE  MODEL

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DC Field	Value	Language
dc.contributor.author	Meena, Raj Kumar	-
dc.date.accessioned	2026-05-07T13:28:53Z	-
dc.date.available	2026-05-07T13:28:53Z	-
dc.date.issued	2021-07	-
dc.identifier.uri	http://localhost:8081/jspui/handle/123456789/20764	-
dc.guide	Pillai, G.N.	en_US
dc.description.abstract	In this report, basic idea of MPCis introduced. The first step in MPC design is modelling of system. In this work discrete state space model of the system is used and an integrator is added to the system to reduce steady state error. The method of predicting the future output and the optimization method used are explained. MPC design on a single input single output system is done and receding horizon control is implemented. The report also explains dynamics matrix control (DMC).	en_US
dc.language.iso	en	en_US
dc.publisher	IIT Roorkee	en_US
dc.title	MODEL PREDICTIVE CONTROL USING STATE SPACE MODEL	en_US
dc.type	Dissertations	en_US
Appears in Collections:	MASTERS' THESES (Electrical Engg)

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19530012-RAJ KUMAR MEENA.pdf		1.67 MB	Adobe PDF	View/Open