In Chapter One, the implementation of an advanced control strategy based on Model Predictive Control (MPC) is proposed. In Chapter Two, an uncertainty observer based controller in order to regulate a class of highly nonlinear system is considered. Chapter Three presents the development of an integrated monitoring system for the continuous evaluation of the condition of critical rotating and structural components in tidal turbines. The system can be used to provide information regarding the presence of faults as well as advanced warning of impending failures. Chapter Four presents a multi-functional oil condition sensor for detecting wear debris and measuring lubricant properties. To conclude, Chapter Five analyzes current issues and development directions of next generation manufacturing systems, with particular emphasis on digital manufacturing proposed as part of the Industry 4.0 revolution.

In Chapter One, the implementation of an advanced control strategy based on Model Predictive Control (MPC) is proposed. In Chapter Two, an uncertainty observer based controller in order to regulate a class of highly nonlinear system is considered. Chapter Three presents the development of an integrated monitoring system for the continuous evaluation of the condition of critical rotating and structural components in tidal turbines. The system can be used to provide information regarding the presence of faults as well as advanced warning of impending failures. Chapter Four presents a multi-functional oil condition sensor for detecting wear debris and measuring lubricant properties. To conclude, Chapter Five analyzes current issues and development directions of next generation manufacturing systems, with particular emphasis on digital manufacturing proposed as part of the Industry 4.0 revolution.