Banca de QUALIFICAÇÃO: AMANDA GONDIM DE OLIVEIRA

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : AMANDA GONDIM DE OLIVEIRA
DATA : 17/06/2016
HORA: 14:00
LOCAL: Auditório do Núcleo de Pesquisas e Inovação em Tecnologia da Informação
TÍTULO:

Modeling Dynamic Systems by a State Space Representation using Information Theory

PALAVRAS-CHAVES:

Dynamic Systems, Theoretical Information Learning, Information States.

PÁGINAS: 50
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
RESUMO:

Information Theory (IT) is a field of mathematics that studies quantifying the information. Recently several studies with Theoretical information Learning (ITL) has been successful as a new approach to non-supervised machine learning, most often involving only static data. In the area of dynamical systems, the representation of the state space is a modern approach that works the concept of state variables and is defined in the time domain. This paper proposes the incorporation of descriptors of information theory in modeling of dynamic systems in the form of state space. This proposal allows for modeling the dynamic behavior of the system based only on the intrinsic information to it. This proposal presents a new concept we call information states.

MEMBROS DA BANCA:
Presidente - 347628 - ADRIAO DUARTE DORIA NETO
Interno - 2579664 - ALLAN DE MEDEIROS MARTINS
Externo ao Programa - 1669545 - DANIEL SABINO AMORIM DE ARAUJO
Externo à Instituição - ALUISIO IGOR RÊGO FONTES - IFRN