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The control systems discipline has undergone a radical transformation over the past three decades. Affordable microprocessors now allow control algorithms to be integrated into virtually any technology imaginable. Advanced computer-aided design tools have made it possible to analyze and develop controllers for intricate multivariable systems. Societal demands for safer transportation and environmental protection have created complex challenges that require feedback control solutions. Researchers and students are leveraging their control systems knowledge across diverse fields including transportation networks, biological processes, digital networks, manufacturing systems, robotic applications, and beyond. Our research pushes technological boundaries while our courses effectively communicate these innovations to learners.
Production Systems Engineering (PSE) represents an emerging field within system science focused on investigating core characteristics of serial production lines and assembly operations. Given the inherent unreliability of factory equipment and limited buffer capacities, these systems exhibit nonlinear stochastic behavior. Researchers employ Markov chain methods for machines with exponential reliability patterns and empirical approaches for non-exponential cases. The program addresses system evaluation, design optimization, and performance enhancement challenges. Beyond theoretical advancements, Michigan's initiative maintains strong industry partnerships, particularly with automotive manufacturers. Notably, Michigan stands among a select group of institutions offering dedicated PSE coursework.