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Record W2098579041 · doi:10.1109/cdc.1995.480390

Robust adaptive stabilization of unknown MIMO systems using switching control

2002· article· en· W2098579041 on OpenAlex
Michael Chang, E.J. Davison

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsControl theory (sociology)Controller (irrigation)MIMONoise (video)Transient (computer programming)Nonlinear systemAdaptive controlComputer scienceTransient responseBounded functionPiecewiseMathematicsControl (management)EngineeringTelecommunicationsPhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, new theoretical and simulated results for a robust adaptive stabilizing controller for unknown MIMO systems are presented, based upon the approach given originally in Miller and Davison (1989). The proposed controller is nonlinear and of the switching type, and has the property that after a finite time, switching ceases, thereby resulting in the system being controlled by a LTI controller. In particular, the switching mechanism is simpler in nature than that previously presented in Miller and Davison (1988), does not need a preliminary identification period as given in Miller and Davison (1989), is noise insensitive to all bounded piecewise continuous disturbances w(t), and attempts to provide a "reasonable" transient response by directly "monitoring" plant output y(t).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.208
Teacher spread0.150 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations6
Published2002
Admission routes1
Has abstractyes

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