Publicação

Greenhouse air temperature control using the particle swarm optimisation algorithm

Detalhes bibliográficos
Resumo:	The particle swarm optimisation algorithm is proposed as a new method to design a model based predictive controller subject to restrictions. Its performance is compared with the one obtained by using a genetic algorithm for the environmental temperature control of a greenhouse. Controller outputs are computed in order to optimise future behaviour of the greenhouse environment, regarding set-point tracking and minimisation of the control effort over a prediction horizon of one hour with a one-minute sampling period.
Autores principais:	Coelho, João Paulo
Outros Autores:	Cunha, José Boaventura; Oliveira, Paulo de Moura
Assunto:	Model predictive control Agriculture Particle swarm optimisation algorithms
Ano:	2002
País:	Portugal
Tipo de documento:	comunicação em conferência
Tipo de acesso:	acesso aberto
Instituição associada:	Instituto Politécnico de Bragança
Idioma:	inglês
Origem:	Biblioteca Digital do IPB

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