It is well known that obesity, a chronic disease, can lead to increased risk of other serious chronic diseases and even death. Knowledge of daily changes in lean muscle mass and body fat can be helpful in developing personalized diet and exercise routines to correct this problem. In this paper, it is assumed that measurements of individual body composition components are available only periodically although the total body weight is tracked on a daily basis. The control input is physical activity whose profile can be constrained to accommodate individual preferences while the energy intake can be arbitrary. We present switching and time delayed feedback based model-free control methods for the dynamic management of body mass and its major components. Additionally, based on human body weight dynamics, estimation of body composition using soft switching-based observer is proposed. Simulation results validate the performance of the proposed controllers and the observer under disturbances in recording energy intake and energy expenditure figures.

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