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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Filing growth compares 2021 (50 records) with 2024 (39) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 1,116 records in scope (CR5), not by the ranked leaders only.
This landscape tracks patent families combining PID controller, process control and model predictive control language with tuning-specific claim terms — tuning method, overshoot, anti-windup, loop oscillation, setpoint tracking — inside the core control-systems IPC classes G05B11, G05B13 and G05B19. It captures both classical control engineering and the newer wave of AI-assisted tuning layered on top of it.
Coverage runs from 2015-01-01 through the 2026-07-31 data cut-off. Because publication typically lags filing by around eighteen months, the 2026 count and the tail end of 2025 understate actual filing activity; treat the most recent one to two years as a floor, not a ceiling.
1,116 patent families sit inside the search scope, spread across a control-systems core and a set of adjacent electrical and chemical-process classes.
Filings rose from 7 in 2017 to a midpoint of 29 in 2022, then to a peak of 62 in 2025 — but the path between those points is not a smooth climb, and the 2026 figure (partial) sits below the 2025 peak, consistent with a maturing rather than an accelerating field.
Nearly every record (1,115 of 1,116) carries a G05B control-and-regulating classification, confirming the search is well-targeted. The next largest groups — G05D (non-electric variable control, 100), G06F (digital data processing, 66) and G06N (AI-model computing, 55) — show a meaningful minority of filings pairing classical control claims with digital or AI-based tuning logic, rather than staying purely mechanical.
Shares are the percentage of the 1,116 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about pid and advanced process control and every answer comes back with the patent numbers behind it.
Try EurekaA closed-loop setpoint-step tuning method that improves on the Ziegler-Nichols continuous cycling approach: a P-controller with gain Kc0 runs a setpoint experiment, and PI/PID settings are derived directly from three measured quantities — overshoot, time to first peak, and relative steady-state output change — without needing a full process model.Filed by King Fahd University of Petroleum and Minerals, published 2015-11-12.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US5519605A | Model predictive control apparatus and method | 389 |
| 2 | US5347446A | Model predictive control apparatus | 379 |
| 3 | US5311421A | Process control method and system for performing control of a controlled system by use of a neural network | 318 |
| 4 | US5394322A | Self-tuning controller that extracts process model characteristics | 306 |
| 5 | US20090198350A1 | Robust adaptive model predictive controller with tuning to compensate for model mismatch | 290 |
| 6 | US5561599A | Method of incorporating independent feedforward control in a multivariable predictive controller | 232 |
| 7 | US5396415A | Neruo-pid controller | 198 |
| 8 | US6510352B1 | Methods and apparatus for object-based process control | 191 |
| 9 | US8185217B2 | Robust adaptive model predictive controller with tuning to compensate for model mismatch | 189 |
| 10 | US4991770A | Thermostat with means for disabling PID control | 180 |
Citation counts favour older filings by construction — a highly cited 1990s patent reflects decades of downstream reference, not current commercial relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns matter for anyone deciding where to file or how to design around existing claims.
The 2025 peak of 62 more than doubles the 2022 midpoint of 29, but the climb from 2017's 7 filings was uneven along the way. That pattern is more consistent with a field responding to specific triggers — new AI-tuning entrants, a standards update — than with sustained organic growth.
All five of the most-cited records are model-predictive-control or self-tuning patents originally filed in the 1990s and 2000s. Any new filing in adaptive or robust MPC is almost certainly being read against this citation cluster during examination.
G06N (AI-model computing) appears on 55 records and G06F on 66 — together a meaningful but still minority share alongside the 1,115 core G05B filings, indicating machine-learning-based tuning is an established sub-track rather than the dominant claim style.
China's 256 filings and the US's 245 are close enough that neither office defines the field alone. Europe (140), Japan (106) and India (65) add three further jurisdictions worth checking before assuming freedom to operate in any one market.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to pid and advanced process control, with the prior art for and against each one.
The assignee ranking runs across all 1,116 families, but the momentum data tells a sharper story than the ranking alone.
Fisher-Rosemount Systems, Toshiba, Honeywell International, Foxboro and Fisher Controls International all show zero filings in the latest year in this dataset, several with a -100% year-on-year change from a prior baseline. That does not mean these firms have exited process control — it means their claim activity, as captured by this search, has paused.
Only nine co-assignee pairs appear in the dataset, the strongest linking corporate assignees to named individual inventors or sister entities (e.g., a Hitachi corporate pairing, an Emerson-affiliated pairing). Genuine cross-company joint filing is the exception, not the norm, in this field.
The assignee ranking spans the full 1,116-family set, and the presence of a regional engineering firm alongside multinational instrumentation vendors in the momentum list suggests the tail includes smaller, regionally focused filers rather than only global process-control majors.
| Assignee | Recent year | YoY |
|---|---|---|
| Fisher-Rosemount Systems, Inc. | 0 | -100% |
| Toshiba Corporation | 0 | — |
| Honeywell International Inc. | 0 | — |
| Foxboro Company | 0 | — |
| Fisher Controls International LLC | 0 | — |
| Xi'an Feistda Automation Engineering Co., Ltd. | 0 | — |
| Omron Corporation | 0 | — |
| Hitachi, Ltd. | 0 | — |
The dataset points to specific next steps depending on whether you are filing, licensing or designing around existing claims.
The H02J/H02M power-conversion overlap and the B01J catalytic-process overlap both show thin filing density relative to the G05B core — worth a targeted search before assuming the space is occupied.
Explore white space in EurekaThe five most-cited records anchor decades of downstream MPC and self-tuning claims; any new adaptive-control filing should be checked against this cluster specifically, not just against recent filings.
Run a citation map in EurekaThis dataset identifies 1,116 patent families published between 2015 and the 2026-07-31 data cut-off that combine PID controller, process control or model predictive control language with tuning-specific claim terms such as overshoot, anti-windup or setpoint tracking, within the G05B11, G05B13 and G05B19 IPC classes. That figure counts families, which is the fairer unit than raw document counts because it removes duplication from continuations and multi-jurisdiction filing of the same invention. The true figure is likely somewhat higher once the most recent one to two years finish publishing, since filing-to-publication lag runs around eighteen months.
The full assignee ranking spans all 1,116 families and includes both multinational instrumentation vendors and smaller regional filers, so no single company holds a runaway majority. Notably, several historically prominent names — including major automation and instrumentation vendors — show zero filings in the most recent year captured, which suggests either a pause in patenting or a shift in filing strategy rather than exit from the field. Anyone assessing competitive position should look at the momentum data alongside the raw ranking, not the ranking alone.
Growth is uneven rather than steadily rising. Filings moved from 7 in 2017 to a midpoint of 29 in 2022 and up to a peak of 62 in 2025, but the trajectory between those points was not a smooth climb, and the 2026 count sits below the 2025 peak. Because 2026 is only partially published, some of that apparent slowdown is a lag artefact — but the flat stretch around the midpoint year is a genuine feature of the data, not an artefact of the cut-off.
US20150323912A1, filed by King Fahd University of Petroleum and Minerals and published in November 2015, claims a closed-loop setpoint-step method for tuning PI/PID controllers on stable and integrating processes with time delay. It improves on the classical Ziegler-Nichols continuous-cycling method by deriving controller settings directly from three measured quantities — overshoot, time to first peak, and relative steady-state output change — taken from a single setpoint experiment run with a P-controller. Anyone building a closed-loop, setpoint-experiment-based tuning method that extracts settings from those same three data points should review this claim scope closely before finalizing an approach.
The clearest under-claimed areas sit at the boundaries of the core G05B classification: power-conversion contexts (H02J and H02M, 19 and 18 records respectively) and catalytic or chemical-process contexts (B01J, 17 records) show much thinner filing density than the 1,115-record G05B core. Testing and balance instrumentation tied to tuning claims (G01M, 15 records) is similarly light. These are not proof of open claim space on their own, but they are reasonable starting points for a targeted freedom-to-operate search before committing to a filing strategy.
Go past this page: query the whole pid and advanced process control corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.