Interactive System Identification: Prospects and Pitfalls

1. Front Matter

   Pages I-XII

   PDF

2. Introduction

   • Torsten Bohlin

   Pages 1-17

3. Randomness, probability, and likelihood

   • Torsten Bohlin

   Pages 18-41

4. The experiment

   • Torsten Bohlin

   Pages 42-74

5. The identification problem

   • Torsten Bohlin

   Pages 75-110

6. Modelling

   • Torsten Bohlin

   Pages 111-173

7. Large-sample theory

   • Torsten Bohlin

   Pages 174-219

8. Validation techniques

   • Torsten Bohlin

   Pages 220-243

9. Falsification techniques

   • Torsten Bohlin

   Pages 244-290

10. Structure identification

    • Torsten Bohlin

    Pages 291-329

11. A unified design procedure

    • Torsten Bohlin

    Pages 330-341

12. Back Matter

    Pages 342-365

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The craft of designing mathematical models of dynamic objects offers a large number of methods to solve subproblems in the design, typically parameter estimation, order determination, validation, model reduc­ tion, analysis of identifiability, sensi tivi ty and accuracy. There is also a substantial amount of process identification software available. A typi­ cal 'identification package' consists of program modules that implement selections of solution methods, coordinated by supervising programs, communication, and presentation handling file administration, operator of results. It is to be run 'interactively', typically on a designer's 'work station' . However, it is generally not obvious how to do that. Using interactive identification packages necessarily leaves to the user to decide on quite a number of specifications, including which model structure to use, which subproblems to be solved in each particular case, and in what or­ der. The designer is faced with the task of setting up cases on the work station, based on apriori knowledge about the actual physical object, the experiment conditions, and the purpose of the identification. In doing so, he/she will have to cope with two basic difficulties: 1) The com­ puter will be unable to solve most of the tentative identification cases, so the latter will first have to be form11lated in a way the computer can handle, and, worse, 2) even in cases where the computer can actually produce a model, the latter will not necessarily be valid for the intended purpose.

• Identification
• Identifikation
• Interactive Systems
• Interaktives System
• Regelung
• computer
• control engineering
• modeling
• software
• system
• system identification

• Automatic Control, Royal Institute of Technology, Stockholm, Sweden

  Torsten Bohlin

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