Pith. sign in

REVIEW 1 cited by

PID Parameters Optimization by Using Genetic Algorithm

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1204.0885 v1 pith:MQKHQQKS submitted 2012-04-04 cs.SY cs.LGcs.NEcs.SY

Andri Mirzal , Shinichiro Yoshii , Masashi Furukawa This is my paper
classification cs.SYcs.LGcs.NE
keywords algorithmdelaygeneticparametersresultssystemstimearise
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Time delays are components that make time-lag in systems response. They arise in physical, chemical, biological and economic systems, as well as in the process of measurement and computation. In this work, we implement Genetic Algorithm (GA) in determining PID controller parameters to compensate the delay in First Order Lag plus Time Delay (FOLPD) and compare the results with Iterative Method and Ziegler-Nichols rule results.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs

    cs.CL 2026-08 conditional novelty 5.0 of 10

    On consumer GPUs, LoRA+ gives the best energy-focused fine-tuning score in 19 of 24 small-model task configurations, while QLoRA wins the memory-focused score when peak VRAM is the binding constraint.

Pith tools