Optimality and sub-optimality of iterative identification and control design schemes

• We demonstrate that some recently proposed iterative identification and control design schemes do not necessarily converge to a local minimum of the design objective in the case of a restricted complexity model. There is, however, a link between these approaches and a recently proposed iterative optimization based control design procedure based on experimental data. We show that if the achieved and the desired output responses are perfectly matched, the schemes are (essentially) equivalent under noise free conditions.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Nyckelord

Closed loop control systems

Control system synthesis

Convergence of numerical methods

Degrees of freedom (mechanics)

Feedback

Identification (control systems)

Iterative methods

Mathematical models

Optimization

Random processes

Noise free conditions

Optimality

Sub-optimality

Optimal control systems

SRA - ICT

SRA - Informations- och kommunikationsteknik

Automatic control

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)