One of the strengths of statistical physics is the ability to reduce macroscopic observations into microscopic models, offering a mechanistic description of a system’s dynamics. This paradigm, rooted ...

Dynamic modelling and control of robotic systems constitute a vital area of research, where the formulation of precise mathematical models of robot dynamics underpins the design of effective control ...

Propel your career forward with an accredited graduate certificate. Michigan Tech's graduate on-campus and online certificate in Dynamic Systems develops a foundation of analytical mechanics and ...

The purpose of this 5-week long course is to introduce engineering students to system dynamics and its applications in addressing ill-defined and complex development projects. Throughout this course, ...

It is now practical to write software for real-time systems long before the actual computer hardware is sitting in a physical prototype. In today’s world it is rare to find electromechanical devices ...

This course covers differential equation derivation to model systems, solving these equations through Laplace transforms to determine transfer functions for simple mechanical, electrical, and ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

ABSTRACT. It is vitally important to identify agroecosystems that may cease functioning because of changing climate or land degradation. However, identifying such systems is confounded on both ...

Vapor compression cycles are predominantly used in air-conditioning, heat pump and refrigeration equipment. A good understanding of transient behaviors of vapor compression systems is critical to ...

Some of the most important tasks of visual and motor systems involve estimating the motion of objects and tracking them over time. Such systems evolved to meet the behavioral needs of the organism in ...