Approximate identification with closed-loop performance criterion and application to LQG feedback design

Hakvoort, R.G.; Schrama, Ruud J.P.; Hof, Paul M.J. Van den

doi:10.1016/0005-1098(94)90156-2

Cited by 43 publications

(11 citation statements)

References 4 publications

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“…Ljung and Hjalmarsson (1995), Tjärnström and Garulli (2002), Partington and Mäkilä (1999), Hakvoort, Schrama, and Van den Hof (1994), de Vries and , Milanese and Taragna (1999), Tempo, Bai, and Dabbene (1997), Bai, Ye, and Tempo (1999). For excellent overviews of different modeling frameworks we refer to Mäkilä, Partington, and Gustafsson (1995) and Ninness and Goodwin (1995).…”

Section: Discussionmentioning

confidence: 99%

From experiment design to closed-loop control

2005

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The links between identification and control are examined. The main trends in this research area are summarized, with particular focus on the design of low complexity controllers from a statistical perspective. It is argued that a guiding principle should be to model as well as possible before any model or controller simplifications are made as this ensures the best statistical accuracy. This does not necessarily mean that a full-order model always is necessary as well designed experiments allow for restricted complexity models to be near-optimal. Experiment design can therefore be seen as the key to successful applications. For this reason, particular attention is given to the interaction between experimental constraints and performance specifications.

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Section: Discussionmentioning

confidence: 99%

From experiment design to closed-loop control

2005

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“…They can be grouped in indirect (i.e. model-based) methods, [1,31,15,25,26,4,20,16,33,34,14], and direct methods, [23,22,32,21].…”

Section: Discussion On the Control Settingmentioning

confidence: 99%

Virtual reference feedback tuning for two degree of freedom controllers

Lecchini

Campi

Savaresi

2002

Adaptive Control & Signal

135

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The Virtual Reference Feedback Tuning (VRFT) is a data based method for the design of feedback controllers. In the original formulation, the VRFT method gives a solution to the one degree of freedom model-reference control problem in which the objective is to shape the input-output transfer function of the control system. In this paper, the extension of the method to the design of two degree of freedom controllers is presented and discussed.

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“…which leads to (13) since CiYi = X i . From the same figure we see that u + Ciy = rl + Cirz, 0 Since x and w are uncorrelated, the frequency responses of Bi -XiR and Ni + Yi R in (14) can be straightforwardly estimated from u, y and x. With these estimates we calculate a frequency response of T(P, C i ) via which governs the correlation between x and w.…”

Section: + C I Y = ( B I + C I N ) X + ( C I Y I -X I ) ( R X + S W )mentioning

confidence: 94%

“…T(Pi+l,Ci). Since the plant transfer function P is not available, we evaluate (16) with a frequency response estimate of P, which we get from (14). Similar ratios are considered also for the upper bound of (3), and in the practical experiment of (4) we use 0.95 < k)o) < 1 -05 in order to be even more cautious.…”

Section: Cautious Controller Enhancementmentioning

confidence: 99%

Adaptive performance enhancement by iterative identification and control design

Schrama

Bosgra

1993

Adaptive Control & Signal

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In this paper we combine adaptation and robust control by an iterative scheme of system identification and control design. A nominal model is identified for robust control design and the controller is applied to the plant to gather new data for an update of the nominal model. Our objective is to improve the plant performance with every iteration right from the start. We tackle this problem with frequency domain identification and a control design method that optimizes robustness against coprime factor perturbations. Our approach is illustrated by simulated and practical examples.

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Approximate identification with closed-loop performance criterion and application to LQG feedback design

Cited by 43 publications

References 4 publications

From experiment design to closed-loop control

From experiment design to closed-loop control

Virtual reference feedback tuning for two degree of freedom controllers

Adaptive performance enhancement by iterative identification and control design

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