TLMM v4.3: Predictive Adaptive Control under Colored Noise — Extended Fokker–Planck Closure, Identifiability, Proof-of-Contact, and Translational Roadmap
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866901545837133824 |
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| author | Okino, Koji |
| author_facet | Okino, Koji |
| contents | <p>This technical report presents TLMM v4.3, an exploratory mathematical framework for predictive adaptive control under colored noise. The work extends previous TLMM formulations by introducing an extended Fokker–Planck closure in <span class="katex"><span class="katex-mathml">(E,ξ)(E,\xi)</span><span class="katex-html"><span class="base"><span class="mopen">(</span><span class="mord mathnormal">E</span><span class="mpunct">,</span><span class="mord mathnormal">ξ</span><span class="mclose">)</span></span></span></span> space, theoretical operable-window narrowing, Kramers escape-based predictive maintenance timing, Fisher-information-based identifiability analysis, and an illustrative proof-of-contact with public CHB-MIT scalp EEG envelope statistics.</p> <p>The report also provides a translational roadmap toward future adaptive control architectures, while clearly distinguishing the current v4.3 position—qualitative proof-of-contact—from future development stages such as predictive benchmarking, closed-loop control, and adaptive digital models.</p> <p>This work is theoretical and exploratory. All EEG-related results are qualitative and illustrative only. No clinical, diagnostic, therapeutic, or medical-device claims are made.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20122643 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | TLMM v4.3: Predictive Adaptive Control under Colored Noise — Extended Fokker–Planck Closure, Identifiability, Proof-of-Contact, and Translational Roadmap Okino, Koji TLMM Predictive Adaptive Control Colored Noise Fokker–Planck Equation Kramers Escape Operable Window Predictive Maintenance Fisher Information Identifiability Analysis EEG Envelope Statistics CHB-MIT Ornstein–Uhlenbeck Process Stochastic Neural Field Adaptive Control Proof-of-Contact Translational Roadmap <p>This technical report presents TLMM v4.3, an exploratory mathematical framework for predictive adaptive control under colored noise. The work extends previous TLMM formulations by introducing an extended Fokker–Planck closure in <span class="katex"><span class="katex-mathml">(E,ξ)(E,\xi)</span><span class="katex-html"><span class="base"><span class="mopen">(</span><span class="mord mathnormal">E</span><span class="mpunct">,</span><span class="mord mathnormal">ξ</span><span class="mclose">)</span></span></span></span> space, theoretical operable-window narrowing, Kramers escape-based predictive maintenance timing, Fisher-information-based identifiability analysis, and an illustrative proof-of-contact with public CHB-MIT scalp EEG envelope statistics.</p> <p>The report also provides a translational roadmap toward future adaptive control architectures, while clearly distinguishing the current v4.3 position—qualitative proof-of-contact—from future development stages such as predictive benchmarking, closed-loop control, and adaptive digital models.</p> <p>This work is theoretical and exploratory. All EEG-related results are qualitative and illustrative only. No clinical, diagnostic, therapeutic, or medical-device claims are made.</p> |
| title | TLMM v4.3: Predictive Adaptive Control under Colored Noise — Extended Fokker–Planck Closure, Identifiability, Proof-of-Contact, and Translational Roadmap |
| topic | TLMM Predictive Adaptive Control Colored Noise Fokker–Planck Equation Kramers Escape Operable Window Predictive Maintenance Fisher Information Identifiability Analysis EEG Envelope Statistics CHB-MIT Ornstein–Uhlenbeck Process Stochastic Neural Field Adaptive Control Proof-of-Contact Translational Roadmap |
| url | https://doi.org/10.5281/zenodo.20122643 |