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In this paper, a Q-learning based algorithm is developed to optimize energy consumption in an office, where solar energy is introduced as the renewable source and a battery is installed as the control unit. The energy consumption in the office, regarded as the energy demand, is divided into those from sockets, lights and air-conditioners. First, the time series of real-time electricity rate, renewable...
This paper investigates a novel fault tolerant control scheme to handle actuator faults in nonlinear systems based on policy iteration algorithm with fault observer. The fault observer is established to estimate the actuator fault, which is used to construct an improved performance index function that reflects the fault, regulation and control simultaneously. With the help of the proper performance...
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