List of available themes and links to videos on modelling, analysis and control

About the Author: Dr John Anthony Rossiter has been an academic in UK universities for over 20 years and taught a huge variety of courses in that time, but with special interest in the topics of modelling, analysis and control. He was educated at Oxford Unviersity where he was also awarded his doctorate in 1990 and has been working in The University of Sheffield since 2001. He has a number of prizes for teaching as well as publishing extensively in the academic literature, mainly in the field of predictive control. Currently employed in Automatic Control and Systems Engineering:  www.shef.ac.uk/acse

NOTE: Many resources now moved to a new site: http://controleducation.group.shef.ac.uk/indexwebbook.html which includes some pdf files in addition to links to the videos.

About the videos:
Dr Rossiter's perception of education is that the world is changing and in particular the historical reliance on conventional text boks and didactic lectures is already outdated. Moving into a world that encourages and supports independent and flexible learning, it is important that students have suitable resources. A full suite of learning resources will include laboratories, quizzes, question and answer sessions, interactive resources and so on. However, it is still necessary to have at the core some didactic material students can use for their first exposure to topics and for reference where necessary. Consequently, these videos are intended to act like lectures, partially didactic and partially with worked examples. Students can view these off line to get to grips with a topic. Videos can be paused and restarted and even reviewed over and over again and thus, through repetition and/or active engagement, students' understanding will improve. In several places they are supplemented with tutorial sheets students can use to test their progress.

The material will cover topics and content which could be presented anywhere within the first three years of an engineering undergraduate degree; years 2 and 3 would be more typical. The presentation of material is such that many chapters are standalone, so students do need to view all the preceeding chapters in order to find them useful. However, within the chapters themselves there are often references back to earlier videos so it is advisable to view the chapter videos in order.

Organisation of this site: Each chapter has a number of videos which are currently hosted on Youtube. The relevant links are provided. However, in addition, there are links to the source powerpoint files, and where appropriate, uncommented MATLAB script files containing the MATLAB code used in production of the figures and examples (these are linked to each video).

NOTE: Model predictive control videos are listed separately (see left hand menu) as this is more of a postgraduate/research topic.

MAIN THEMES

  1. INTRODUCTION TO MODELLING SIMPLE PHYSICAL SYSTEMS
    • INTRODUCTION TO MODELLING SIMPLE PHYSICAL SYSTEMS
    • MODELLING 1st ORDER SYSTEMS FROM MECHANICAL ELECTRICAL, FLUID AND THERMAL SCENARIOS
    • SECOND ORDER SYSTEM MODELLING
    • LINEAR SYSTEMS
  2. INTRODUCTION TO SYSTEM RESPONSES AND LAPLACE METHODS
    • FIRST ORDER RESPONSES
    • SECOND ORDER SYSTEM RESPONSES
    • ROOTS AND POLYNOMIALS
    • LAPLACE TRANSFORMS
    • INVERSE LAPLACE
    • BEHAVIOUR AND LINKS TO TRANSFER FUNCTIONS
  3. INTRODUCTION TO FEEDBACK
    • BLOCK DIAGRAMS
    • UNCERTAINTY
    • INTRODUCTION TO FEEDBACK
    • ANALYSIS OF CLOSED-LOOP OFFSET PERFORMANCE
    • SIMPLE FEEDBACK DESIGN
    • USE OF MATLAB FOR ELEMENTARY CONTROL ANALYSIS
  4. CLASSICAL CONTROL ANALYSIS AND DESIGN METHODS
    • ROOT-LOCI
    • BODE DIAGRAMS AND FREQUENCY RESPONSE
    • NYQUIST DIAGRAMS AND STABILITY CRITERIA
    • GAIN AND PHASE MARGINS AND LEAD/LAG COMPENSATION
  5. MATHEMATICS SKILLS
    • SIMULTANEOUS EQUATIONS
    • COMPLEX NUMBERS
    • EXPONENTIALS AND LOGARITHMS
  6. PROBLEM SOLVING
  7. MODEL PREDICTIVE CONTROL IS A LARGER SECTION
  8. PREDICTIVE FUNCTIONAL CONTROL (IN PROGRESS)