Banca de DEFESA: ARY MONTENEGRO BATISTA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : ARY MONTENEGRO BATISTA
DATA : 29/05/2020
HORA: 15:00
LOCAL: Escola Politécnica da UFBA
TÍTULO:

Finite Horizon Robust Model Predictive Control for time-varying discrete systems with guaranteed stability

PALAVRAS-CHAVES:

Robust Predictive Control, Stability guarantee, Time-varying uncertainties, State feedback, Riccati difference equation, Linear Matrix Inequalities.

PÁGINAS: 77
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Eletrônica Industrial, Sistemas e Controles Eletrônicos
ESPECIALIDADE: Controle de Processos Eletrônicos, Retroalimentação
RESUMO:

This work proposes a new approach for the Finite Horizon Robust Model-Based Predictive Control (FH-RMPC) problem of linear discrete systems with time-varying polytopic uncertainties. The basic idea of this approach is to find, in each sampling time, the optimal state feedback control law based on Riccati difference equations (RDE) that minimizes an objective function with finite horizon and takes in account input and output constraints. The closed loop stability, known as one of the challenging themes of FH-RMPC strategy with constraints, is based on monotonic property of the RDE associated with finite horizon Linear Quadratic (LQ) control problem. In this proposed method it is not necessary that the usual terminal weighting matrix be fixed to achieve asymptotic stability. The stability analysis is done considering a finite set of Lyapunov functions and also considering parameter dependent Lyapunov functions. Finally, the efficiency of the proposed approach is illustrated by numerical examples and comparing to the IH-RMPC strategy through error-based performance indexes.

MEMBROS DA BANCA:
Presidente - 1677082 - HUMBERTO XAVIER DE ARAUJO
Interno - 1889072 - TITO LUIS MAIA SANTOS
Externo à Instituição - PEDRO LUIS DIAS PERES - UNICAMP
Externo à Instituição - VALTER JUNIOR DE SOUZA LEITE