Observer/Kalman Filter Identification Method and Model Predictive Control Approach-Based On-Line Fault-Tolerant Control

  • 梁 定輝

Student thesis: Master's Thesis


In this thesis inputs are not allowed to be negative for some physical systems so we propose improved on-line observer/Kalman filter identification (OKID) method for unknown stochastic systems Besides we use the model predictive control tracker for unknown system It satisfies input constraint and fault-Tolerant
Date of Award2016 Aug 3
Original languageEnglish
SupervisorJason Sheng-Hon Tsai (Supervisor)

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