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Designing appropriate control intervention programs for handling of infectious disease such as tuberculosis (TB) involves elongated engagement with complex and challenging tasks. Several researches used mathematical model and control system theory as a valuable tool in studying the infectious disease dynamics and control. TB despite being a curable and preventable disease has become the world’s leading infectious killer with an estimated total of 1.5 million deaths per annum. Although considerable progress has been made in developing a theoretical structure for studying TB’s dynamics and control strategies, many challenging and critical open questions remain. Models that integrate the role of public awareness and isolation on controlling TB are rare. This thesis explores the conceptual use of optimal and adaptive control theory for the analysis of the TB dynamical model. The study looked at three …