Data-driven control is an emerging field that focuses on designing control systems using data collected from the systems themselves, rather than relying solely on mathematical models. This approach is ...
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 ...
It’s popular to think that the best, most successful innovators are experts at innovating. The assumption drives much of what’s taught in schools, and marketed by brands to the media. Innovation is a ...
Choong Nyoung Kim and Raymond McLeod, Jr. Analysis of human judgment and decision making provides useful methodologies for examining the human decision process and substantive results. One such ...
To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...
We analyze the bilinear optimal control problem of quantum mechanical systems with final observation governed by a stochastic nonlinear Schrödinger equation perturbed by a linear multiplicative Wiener ...
Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models, this ...
Propel your career forward with an accredited graduate certificate. Control systems are fundamental to engineering. They can also provide the fundamental shift that expands your career in whatever ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback