Bounded error adaptive control

Peterson, Benjamin; Narendra, Kumpati S.

doi:10.1109/tac.1982.1103112

Cited by 383 publications

(105 citation statements)

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“…The fact that limited observations do not allow the controller to distinguish large deviations due to noise from systematic deterioration forces the designer of a practical control system to use dead zones and saturation, i.e. policies very similar to the overflow strategies discussed in this section [37].…”

Section: The Fraction Of Rerouted Traffic Prj = Limp(qj(t)>kj) L->00mentioning

confidence: 99%

Distributed routing for load balancing

Boel

Schuppen²

1989

Proc. IEEE

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This paper discusses some open-loop and closed-loop control algorithms for an example of a discreteevent system, viz. the routing of arriving tasks from different arrival streams among several possible service stations. We show that it is possible to design open-loop policies that give good performance in a way which is very robust with respect to large changes in the arrival rates. This is possible even though we assume that there is no on-line coordination between the routing algorithms for the different arrival streams. Some further improvements of the performance are possible when a simple feedback policy -overflow routing -is implemented. This also gives reasonable robustness of the performance with respect to changes in the service rates. Several different analysis techniques are needed to obtain the analytical and numerical solutions necessary to compare the performance of the different policies. (1985 Revision): 93E20, 90822, 68C15. Mathematics Subject Classification

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Section: The Fraction Of Rerouted Traffic Prj = Limp(qj(t)>kj) L->00mentioning

confidence: 99%

Distributed routing for load balancing

Boel

Schuppen²

1989

Proc. IEEE

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“…These include a fixed [51][52][53] and time-variant [54] "deadzone" through which the signal that is driving adaptation is passed, where the size of the deadzone nonlinearity is selected based on the size or frequency range expected in the disturbance environment. The effects of unmodeled dynamics have been reduced by regressor filtering and small adaptation gains [55,56] which permit quasi-linear, time-invariant analysis.…”

Section: Adaptive System Control Theorymentioning

confidence: 99%

A control system design technique for nonlinear discrete time systems

DeLonga¹

1989

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“…Some modifications include the projection projection based adaptive law, 15 e-modification, 12 σ-modification 7 or the dead-zone technique. 14,16 In this paper we investigate the performance of M-MRAC systems in the presence of bounded disturbances. We show that the tracking error and the control error can be decreased as desired by increasing the adaptation rate and the error feedback gain.…”

Section: Introductionmentioning

confidence: 99%

Input and Output Performance of M-MRAC in the Presence of Bounded Disturbances

Stepanyan

Krishnakumar

2010

AIAA Guidance, Navigation, and Control Conference

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This paper presents performance analysis of novel modified model reference adaptive control (M-MRAC) architecture in conjunction with different robust adaptive laws for the uncertain linear systems subject to unknown but bounded disturbances. It is shown that for any robust adaptive law the tracking error of the M-MRAC system can be arbitrarily decreased in transient and in the steady-state by increasing the adaptation rate, without generating high frequency oscillations in the control signal, which are unavoidable in conventional MRAC systems for large adaptation rates. Moreover, the generated adaptive control signal arbitrary closely tracks the ideal control signal when the error feedback gain is simultaneously increased with the adaptation rate, according to derived rule. The results are demonstrated via simulations.

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Bounded error adaptive control

Cited by 383 publications

References 10 publications

Distributed routing for load balancing

Distributed routing for load balancing

A control system design technique for nonlinear discrete time systems

Input and Output Performance of M-MRAC in the Presence of Bounded Disturbances

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