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Record W2519297144 · doi:10.1109/tcst.2016.2604739

Optimal Hybrid Magnetic Attitude Control: Disturbance Accommodation and Impulse Timing

2016· article· en· W2519297144 on OpenAlex

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

VenueIEEE Transactions on Control Systems Technology · 2016
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Dynamics and Control
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsControl theory (sociology)Impulse (physics)Optimal controlAttitude controlMathematicsLimitingQuadratic equationTorqueLinear-quadratic regulatorComputer scienceEngineeringMathematical optimizationControl (management)Control engineeringPhysics

Abstract

fetched live from OpenAlex

A recently proposed hybrid attitude control scheme, which optimally combines magnetic torques with impulsive thrusting using a continuous/discrete linear quadratic regulator, is modified to accommodate disturbances. Accounting for the presence of disturbances in the design procedure, previous results on necessary conditions for optimality of impulse application times are modified accordingly. In addition, the special case of a multiorbit mission with repeating impulse patterns is considered, showing that an elegant extension of the optimality conditions would significantly reduce the computational cost by limiting the design space to only the first orbit: this extended condition is obtained by summing over all orbits within the control interval, the original conditions being computed at each repeating impulse time. Finally, numerical examples are presented, confirming the superiority of the proposed disturbance-accommodating controller in terms of steady-state performance (even when the disturbance estimates are partly incorrect) and the validity of the extended optimal timing theory in the linear region.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score0.958

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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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