Prof. Zhiqiang Gao - Cleveland State University

Finalitą del corso:
A training course in control, designed for graduate students and practicing engineers who seek understanding of fundamental concepts of control theory and begin to develop their problem solving skills. Unlike many mathematically oriented control courses and textbooks, this course emphasizes how the abstract concepts of control theory and advanced design tools are used pragmatically in engineering practice. From problem formulation to issues in hardware implementation, students witness control system design in this course through a slew of real world control problems. Above all, this course is designed to entice students to think, to ask question existing theory, and to understand the essence of control engineering.

What do we need to know? -- a review of basic control concepts and tools
What do we want? -- performance evaluation of industrial control system
What makes it so easy/hard? -- bridging the theory-practice gap: problem solving strategy and process in the real world
How much do we need to know about a physical process before we can design a controller for it? ' the premise of modern control theory and its consequence
Robust control: how much uncertainties can a control system tolerate?
Industry control: how much uncertainties are out there?
Why feedback control? ' how we strive for consistent performance in a system made of inconsistent parts?
Why not feedback control? ' the inherent limitation of feedback: stability and latency
Why feedforward? ' the advantage of anticipation
Active vs. passive disturbance rejection: the new vs. old design paradigm
Estimating and mitigating disturbances
The rejection of total disturbance, including internal dynamics and external forces
ADRC (Active Disturbance Rejection Control): concept, algorithm, and applications
The future of control theory and practice beyond modern control


Il corso si terrą
da lun 12 luglio a ven 16 luglio
presso l' Aula C dalle 14:30 alle 16:30